id	sid	tid	token	lemma	pos
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	1	Supervised	supervise	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	2	deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	3	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	4	embeddings	embedding	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	5	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	6	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	7	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	8	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	9	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	10	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	11	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	12	Supervised	supervise	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	13	deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	14	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	15	embeddings	embedding	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	16	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	17	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	18	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	19	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	20	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	21	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	22	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	23	Kelwin	Kelwin	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	24	Fernandes1,2	fernandes1,2	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	25	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	26	Davide	Davide	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	27	Chicco3	Chicco3	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	28	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	29	Jaime	Jaime	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	30	S.	S.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	31	Cardoso1,2	cardoso1,2	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	32	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	33	Jessica	Jessica	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	34	Fernandes4	Fernandes4	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	35	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	36	Instituto	Instituto	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	37	de	de	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	38	Engenharia	Engenharia	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	39	de	de	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	40	Sistemas	Sistemas	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	41	e	e	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	42	Computadores	Computadores	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	43	Tecnologia	Tecnologia	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	44	e	e	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	45	Ciencia	Ciencia	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	46	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	47	INESC	INESC	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	48	TEC	TEC	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	49	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	50	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	51	Porto	Porto	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	52	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	53	Portugal	Portugal	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	54	2	2	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	55	Universidade	Universidade	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	56	do	do	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	57	Porto	Porto	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	58	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	59	Porto	Porto	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	60	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	61	Portugal	Portugal	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	62	3	3	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	63	Princess	Princess	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	64	Margaret	Margaret	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	65	Cancer	Cancer	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	66	Centre	Centre	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	67	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	68	Toronto	Toronto	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	69	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	70	ON	ON	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	71	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	72	Canada	Canada	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	73	4	4	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	74	Universidad	Universidad	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	75	Central	Central	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	76	de	de	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	77	Venezuela	Venezuela	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	78	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	79	Caracas	Caracas	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	80	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	81	Venezuela	Venezuela	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	82	ABSTRACT	ABSTRACT	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	83	Cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	84	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	85	remains	remain	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	86	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	87	significant	significant	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	88	cause	cause	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	89	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	90	mortality	mortality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	91	all	all	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	92	around	around	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	93	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	94	world	world	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	95	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	96	even	even	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	97	if	if	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	98	it	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	99	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	100	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	101	prevented	prevent	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	102	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	103	cured	cure	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	104	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	105	removing	remove	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	106	affected	affect	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	107	tissues	tissue	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	108	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	109	early	early	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	110	stages	stage	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	1	111	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	1	Providing	provide	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	2	universal	universal	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	3	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	4	efficient	efficient	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	5	access	access	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	6	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	7	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	8	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	9	programs	program	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	10	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	11	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	12	challenge	challenge	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	13	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	14	requires	require	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	15	identifying	identify	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	16	vulnerable	vulnerable	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	17	individuals	individual	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	18	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	19	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	20	population	population	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	21	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	22	among	among	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	23	other	other	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	24	steps	step	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	2	25	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	2	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	3	work	work	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	5	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	6	present	present	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	7	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	8	computationally	computationally	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	9	automated	automate	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	10	strategy	strategy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	11	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	12	predicting	predict	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	13	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	14	outcome	outcome	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	15	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	16	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	17	patient	patient	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	18	biopsy	biopsy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	19	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	20	given	give	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	21	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	22	patterns	pattern	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	23	from	from	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	24	individual	individual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	25	medical	medical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	26	records	record	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	3	27	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	2	propose	propose	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	3	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	4	machine	machine	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	5	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	6	technique	technique	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	7	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	8	allows	allow	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	9	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	10	joint	joint	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	11	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	12	fully	fully	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	13	supervised	supervise	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	14	optimization	optimization	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	15	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	16	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	17	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	18	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	19	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	20	models	model	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	4	21	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	2	also	also	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	3	build	build	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	4	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	5	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	6	able	able	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	7	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	8	highlight	highlight	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	9	relevant	relevant	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	10	properties	property	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	11	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	12	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	13	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	14	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	15	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	16	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	17	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	18	ease	ease	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	19	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	20	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	21	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	22	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	5	23	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	2	instantiated	instantiate	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	3	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	4	proposed	propose	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	5	approach	approach	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	6	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	7	deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	8	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	9	architectures	architecture	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	10	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	11	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	12	achieved	achieve	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	13	accurate	accurate	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	14	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	15	results	result	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	16	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	17	top	top	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	18	area	area	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	19	under	under	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	20	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	21	curve	curve	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	22	AUC	AUC	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	23	=	=	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	24	0.6875	0.6875	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	25	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	26	which	which	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	27	outperform	outperform	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	28	previously	previously	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	29	developed	develop	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	30	methods	method	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	31	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	32	such	such	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	33	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	34	denoising	denoise	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	35	autoencoders	autoencoder	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	6	36	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	1	Additionally	additionally	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	3	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	4	explored	explore	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	5	some	some	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	6	clinical	clinical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	7	findings	finding	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	8	from	from	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	9	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	10	embedding	embedding	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	11	spaces	space	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	13	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	14	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	15	validated	validate	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	16	them	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	17	through	through	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	18	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	19	medical	medical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	20	literature	literature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	21	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	22	making	make	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	23	them	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	24	reliable	reliable	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	25	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	26	physicians	physician	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	27	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	28	biomedical	biomedical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	29	researchers	researcher	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	7	30	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	1	Subjects	Subjects	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	2	Bioinformatics	Bioinformatics	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	4	Computational	Computational	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	5	Biology	Biology	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	7	Artificial	Artificial	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	8	Intelligence	Intelligence	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	10	Data	Data	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	11	Mining	Mining	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	12	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	13	Machine	Machine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	14	Learning	Learning	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	15	Keywords	Keywords	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	16	Dimensionality	Dimensionality	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	17	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	18	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	19	Health	Health	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	20	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	21	care	care	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	22	informatics	informatic	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	23	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	24	Denoising	denoise	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	25	autoencoder	autoencoder	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	26	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	27	Autoencoder	Autoencoder	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	28	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	29	Biomedical	biomedical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	30	informatics	informatic	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	31	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	32	Binary	binary	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	33	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	34	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	35	Deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	36	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	37	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	38	Cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	39	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	40	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	41	Artificial	artificial	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	42	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	43	networks	network	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	44	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	45	Health	Health	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	46	informatics	informatic	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	47	INTRODUCTION	introduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	48	Despite	despite	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	49	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	50	possibility	possibility	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	51	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	52	prevention	prevention	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	53	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	54	regular	regular	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	55	cytological	cytological	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	56	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	57	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	58	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	59	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	60	remains	remain	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	61	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	62	significant	significant	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	63	cause	cause	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	64	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	65	mortality	mortality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	66	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	67	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	68	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	69	income	income	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	70	countries	country	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	71	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	72	Kauffman	Kauffman	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	73	et	et	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	74	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	75	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	76	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	77	2013	2013	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	78	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	8	79	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	2	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	3	tumor	tumor	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	4	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	6	cause	cause	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	7	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	8	more	more	JJR
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	9	than	than	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	10	500,000	500,000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	11	cases	case	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	12	per	per	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	13	year	year	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	14	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	15	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	16	kills	kill	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	17	more	more	JJR
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	18	than	than	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	19	250,000	250,000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	20	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	21	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	22	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	23	same	same	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	24	period	period	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	25	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	26	worldwide	worldwide	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	27	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	28	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	29	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	30	Cardoso	Cardoso	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	31	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	32	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	33	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	34	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	35	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	9	36	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	1	However	however	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	3	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	4	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	5	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	6	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	7	prevented	prevent	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	8	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	9	means	mean	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	10	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	12	human	human	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	13	papillomavirus	papillomavirus	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	14	infection	infection	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	15	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	16	HPV	HPV	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	17	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	18	vaccine	vaccine	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	19	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	20	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	21	regular	regular	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	22	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	23	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	24	cost	cost	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	25	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	26	programs	program	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	27	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	28	Centers	Centers	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	29	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	30	Disease	Disease	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	31	Control	Control	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	32	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	33	Prevention	Prevention	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	34	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	35	CDC	CDC	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	36	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	37	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	38	2013	2013	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	39	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	10	40	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	2	two	two	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	3	most	most	RBS
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	4	widespread	widespread	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	5	techniques	technique	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	6	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	7	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	8	programs	program	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	9	are	be	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	10	conventional	conventional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	11	or	or	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	12	liquid	liquid	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	13	cytology	cytology	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	14	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	15	colposcopy	colposcopy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	16	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	17	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	18	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	19	Cardoso	Cardoso	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	20	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	21	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	22	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	23	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	24	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	25	Plissiti	Plissiti	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	26	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	27	Nikou	Nikou	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	28	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	29	2013	2013	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	30	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	31	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	32	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	33	Cardoso	Cardoso	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	34	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	35	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	36	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	37	2017b	2017b	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	38	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	39	Xu	Xu	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	40	et	et	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	41	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	42	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	43	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	44	2016	2016	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	45	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	11	46	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	1	Furthermore	furthermore	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	3	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	4	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	5	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	6	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	7	cured	cure	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	8	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	9	removing	remove	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	10	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	11	affected	affect	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	12	tissues	tissue	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	13	when	when	WRB
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	14	How	how	WRB
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	15	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	16	cite	cite	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	17	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	18	article	article	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	19	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	20	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	21	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	12	22	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	13	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	13	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	13	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	13	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	13	5	Supervised	supervise	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	13	6	deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	13	7	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	13	8	embeddings	embedding	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	13	9	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	13	10	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	13	11	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	13	12	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	13	13	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	13	14	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	13	15	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	13	16	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	14	1	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	14	2	Comput	comput	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	14	3	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	15	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	15	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	1	4	4	LS
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	2	:	:	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	3	e154	e154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	4	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	5	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	6	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	7	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	8	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	9	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	10	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	11	Submitted	submit	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	12	17	17	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	13	February	February	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	14	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	15	Accepted	accept	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	16	26	26	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	17	April	April	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	18	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	19	Published	publish	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	20	14	14	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	21	May	May	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	22	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	23	Corresponding	Corresponding	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	24	author	author	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	25	Kelwin	Kelwin	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	26	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	27	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	28	kafc@inesctec.pt	kafc@inesctec.pt	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	29	Academic	academic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	30	editor	editor	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	31	Sebastian	Sebastian	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	32	Ventura	Ventura	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	33	Additional	Additional	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	34	Information	Information	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	35	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	36	Declarations	declaration	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	37	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	38	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	39	found	find	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	40	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	41	page	page	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	42	16	16	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	43	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	44	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	45	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	46	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	47	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	48	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	49	Copyright	copyright	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	50	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	51	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	52	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	53	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	16	54	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	1	Distributed	distribute	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	2	under	under	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	3	Creative	Creative	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	4	Commons	Commons	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	5	CC	CC	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	6	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	7	BY	BY	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	8	4.0	4.0	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	9	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	10	mailto	mailto	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	11	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	12	kafc@	kafc@	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	13	�	�	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	14	inesctec.	inesctec.	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	15	�	�	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	16	pt	pt	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	17	https://peerj.com/academic-boards/editors/	https://peerj.com/academic-boards/editors/	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	18	https://peerj.com/academic-boards/editors/	https://peerj.com/academic-boards/editors/	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	19	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	ADD
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	20	http://www.creativecommons.org/licenses/by/4.0/	http://www.creativecommons.org/licenses/by/4.0/	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	21	http://www.creativecommons.org/licenses/by/4.0/	http://www.creativecommons.org/licenses/by/4.0/	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	22	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	23	identified	identify	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	24	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	25	early	early	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	26	stages	stage	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	27	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	28	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	29	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	30	Cardoso	Cardoso	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	31	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	32	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	33	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	34	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	35	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	36	Centers	Centers	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	37	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	38	Disease	Disease	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	39	Control	Control	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	40	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	41	Prevention	Prevention	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	42	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	43	CDC	CDC	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	44	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	45	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	46	2013	2013	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	47	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	48	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	49	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	50	most	most	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	51	cases	case	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	17	52	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	2	development	development	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	3	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	4	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	5	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	6	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	7	usually	usually	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	8	slow	slow	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	9	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	10	preceded	precede	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	11	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	12	abnormalities	abnormality	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	13	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	14	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	15	cervix	cervix	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	16	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	17	dysplasia	dysplasia	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	18	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	18	19	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	19	1	However	however	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	19	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	19	3	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	19	4	absence	absence	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	19	5	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	19	6	early	early	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	19	7	stage	stage	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	19	8	symptoms	symptom	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	19	9	might	may	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	19	10	cause	cause	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	19	11	carelessness	carelessness	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	19	12	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	19	13	prevention	prevention	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	19	14	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	1	Additionally	additionally	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	3	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	4	developing	develop	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	5	countries	country	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	7	there	there	EX
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	8	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	9	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	10	lack	lack	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	11	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	12	resources	resource	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	13	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	14	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	15	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	16	usually	usually	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	17	have	have	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	18	poor	poor	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	19	adherence	adherence	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	20	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	21	routine	routine	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	22	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	23	due	due	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	24	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	25	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	26	problem	problem	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	27	awareness	awareness	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	20	28	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	1	While	while	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	2	improving	improve	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	3	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	4	resection	resection	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	5	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	6	lesions	lesion	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	7	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	8	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	9	first	first	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	10	visits	visit	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	11	has	have	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	12	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	13	direct	direct	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	14	impact	impact	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	15	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	16	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	17	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	18	attend	attend	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	19	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	20	programs	program	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	21	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	22	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	23	most	most	RBS
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	24	vulnerable	vulnerable	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	25	populations	population	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	26	have	have	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	27	poor	poor	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	28	or	or	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	29	even	even	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	30	non	non	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	31	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	32	existent	existent	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	33	adherence	adherence	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	34	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	35	treatment	treatment	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	36	programs	program	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	21	37	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	1	Scarce	scarce	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	2	awareness	awareness	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	3	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	4	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	5	problem	problem	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	6	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	7	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	8	’	’	POS
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	9	discomfort	discomfort	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	10	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	12	medical	medical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	13	procedure	procedure	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	14	might	may	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	15	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	16	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	17	main	main	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	18	causes	cause	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	19	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	20	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	21	problem	problem	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	22	22	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	1	Furthermore	furthermore	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	3	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	4	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	5	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	6	income	income	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	7	countries	country	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	8	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	9	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	10	issue	issue	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	11	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	12	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	13	due	due	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	14	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	15	lack	lack	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	16	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	17	access	access	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	18	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	19	vulnerable	vulnerable	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	20	populations	population	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	21	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	22	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	23	access	access	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	24	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	25	information	information	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	26	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	27	medical	medical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	28	centers	center	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	23	29	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	24	1	Consequently	consequently	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	24	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	24	3	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	24	4	computational	computational	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	24	5	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	24	6	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	24	7	individual	individual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	24	8	patient	patient	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	24	9	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	24	10	has	have	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	24	11	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	24	12	key	key	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	24	13	role	role	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	24	14	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	24	15	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	24	16	context	context	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	24	17	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	1	Identifying	identify	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	2	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	3	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	4	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	5	highest	high	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	6	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	7	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	8	developing	develop	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	9	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	10	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	11	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	12	improve	improve	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	13	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	14	targeting	target	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	15	efficacy	efficacy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	16	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	17	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	18	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	19	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	20	programs	program	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	21	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	22	our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	23	software	software	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	24	performs	perform	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	25	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	26	operation	operation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	27	computationally	computationally	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	28	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	29	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	30	few	few	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	31	minutes	minute	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	32	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	33	producing	produce	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	34	accurate	accurate	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	35	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	36	scores	score	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	25	37	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	1	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	3	Cardoso	Cardoso	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	4	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	5	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	6	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	7	2017b	2017b	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	8	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	9	performed	perform	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	10	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	11	preliminary	preliminary	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	12	attempt	attempt	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	13	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	14	tackle	tackle	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	15	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	16	problem	problem	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	17	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	18	predicting	predict	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	19	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	20	patient	patient	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	21	’s	’s	POS
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	22	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	23	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	24	develop	develop	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	25	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	26	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	27	through	through	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	28	machine	machine	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	29	learning	learn	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	30	software	software	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	26	31	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	2	that	that	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	3	project	project	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	6	authors	author	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	7	employed	employ	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	8	transfer	transfer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	9	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	10	strategies	strategy	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	11	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	12	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	13	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	14	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	15	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	16	individual	individual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	17	patient	patient	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	18	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	19	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	20	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	21	dataset	dataset	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	22	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	23	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	24	patient	patient	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	25	medical	medical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	26	tests	test	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	27	27	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	1	They	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	2	focused	focus	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	3	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	4	transferring	transfer	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	5	knowledge	knowledge	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	6	between	between	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	7	linear	linear	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	8	classifiers	classifier	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	9	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	10	similar	similar	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	11	tasks	task	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	13	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	14	predict	predict	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	15	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	16	patient	patient	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	17	’s	’s	POS
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	18	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	19	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	20	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	21	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	22	Cardoso	Cardoso	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	23	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	24	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	25	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	26	2017b	2017b	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	27	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	28	28	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	1	Given	give	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	2	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	3	high	high	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	4	sparsity	sparsity	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	5	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	6	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	7	associated	associate	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	8	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	9	factors	factor	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	10	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	12	population	population	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	13	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	14	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	15	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	16	techniques	technique	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	17	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	18	improve	improve	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	19	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	20	robustness	robustness	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	21	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	22	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	23	machine	machine	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	24	learning	learn	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	25	predictive	predictive	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	26	models	model	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	29	27	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	1	However	however	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	3	many	many	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	4	projects	project	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	5	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	6	take	take	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	7	advantage	advantage	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	8	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	9	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	10	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	11	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	12	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	13	use	use	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	14	suboptimal	suboptimal	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	15	approaches	approach	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	16	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	17	where	where	WRB
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	18	each	each	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	19	component	component	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	20	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	21	learned	learn	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	22	separately	separately	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	23	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	24	Li	Li	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	25	et	et	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	26	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	27	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	28	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	29	2012	2012	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	30	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	31	Bessa	Bessa	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	32	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	33	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	34	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	35	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	36	2014	2014	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	37	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	38	Lacoste	Lacoste	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	39	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	40	Julien	Julien	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	41	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	42	Sha	Sha	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	43	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	44	Jordan	Jordan	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	45	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	46	2009	2009	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	47	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	30	48	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	2	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	3	work	work	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	5	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	6	propose	propose	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	7	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	8	joint	joint	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	9	strategy	strategy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	10	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	11	learn	learn	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	12	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	13	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	14	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	15	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	16	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	17	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	18	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	19	classifier	classifier	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	20	itself	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	21	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	22	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	23	fully	fully	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	24	supervised	supervise	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	25	way	way	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	31	26	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	1	Our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	2	strategy	strategy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	3	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	4	able	able	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	5	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	6	reduce	reduce	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	7	class	class	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	8	overlap	overlap	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	9	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	10	concentrating	concentrate	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	11	observations	observation	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	12	from	from	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	13	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	14	healthy	healthy	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	15	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	16	class	class	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	17	into	into	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	18	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	19	single	single	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	20	point	point	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	21	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	22	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	23	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	24	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	25	while	while	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	26	retaining	retain	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	27	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	28	much	much	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	29	information	information	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	30	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	31	possible	possible	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	32	from	from	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	33	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	34	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	35	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	36	high	high	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	37	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	38	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	39	developing	develop	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	40	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	41	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	32	42	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	2	based	base	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	3	our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	4	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	5	algorithm	algorithm	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	6	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	7	artificial	artificial	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	8	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	9	networks	network	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	10	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	11	ANNs	ANNs	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	12	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	13	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	14	which	which	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	15	are	be	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	16	machine	machine	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	17	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	18	methods	method	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	19	able	able	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	20	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	21	discover	discover	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	22	non	non	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	23	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	24	linear	linear	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	25	patterns	pattern	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	26	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	27	means	mean	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	28	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	29	aggregation	aggregation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	30	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	31	functions	function	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	32	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	33	non	non	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	34	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	35	linear	linear	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	36	activations	activation	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	33	37	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	1	A	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	2	recent	recent	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	3	trend	trend	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	4	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	5	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	6	field	field	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	7	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	8	deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	9	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	10	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	11	LeCun	LeCun	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	13	Bengio	Bengio	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	14	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	15	Hinton	Hinton	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	16	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	17	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	18	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	19	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	20	which	which	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	21	involves	involve	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	22	large	large	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	23	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	24	network	network	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	25	architectures	architecture	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	26	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	27	successive	successive	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	28	applications	application	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	29	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	30	such	such	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	31	functions	function	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	34	32	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	1	Deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	2	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	4	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	5	fact	fact	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	7	has	have	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	8	been	be	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	9	able	able	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	10	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	11	provide	provide	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	12	accurate	accurate	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	13	predictions	prediction	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	14	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	15	patient	patient	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	16	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	17	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	18	multiple	multiple	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	19	medical	medical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	20	domains	domain	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	21	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	22	Xu	Xu	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	23	et	et	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	24	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	25	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	26	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	27	2016	2016	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	28	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	29	Chicco	Chicco	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	30	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	31	Sadowski	Sadowski	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	32	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	33	Baldi	Baldi	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	34	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	35	2014	2014	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	36	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	37	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	38	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	39	Cardoso	Cardoso	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	40	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	41	Astrup	Astrup	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	42	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	43	2017a	2017a	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	44	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	45	Cangelosi	Cangelosi	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	46	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	47	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	48	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	49	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	50	2016	2016	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	51	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	52	Alipanahi	Alipanahi	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	53	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	54	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	55	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	56	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	57	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	58	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	35	59	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	36	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	36	2	applied	apply	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	36	3	our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	36	4	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	36	5	scheme	scheme	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	36	6	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	36	7	deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	36	8	variational	variational	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	36	9	autoencoders	autoencoder	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	36	10	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	36	11	feed	feed	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	36	12	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	36	13	forward	forward	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	36	14	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	36	15	networks	network	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	36	16	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	37	1	Finally	finally	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	37	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	37	3	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	37	4	explored	explore	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	37	5	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	37	6	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	37	7	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	37	8	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	38	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	38	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	38	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	38	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	38	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	38	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	38	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	10	2/20	2/20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	11	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	POS
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	13	visualization	visualization	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	14	techniques	technique	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	15	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	16	understand	understand	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	17	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	18	validate	validate	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	19	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	20	medical	medical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	21	concepts	concept	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	22	captured	capture	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	23	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	24	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	25	embeddings	embedding	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	39	26	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	40	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	40	2	organize	organize	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	40	3	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	40	4	rest	rest	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	40	5	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	40	6	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	40	7	paper	paper	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	40	8	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	40	9	follows	follow	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	40	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	1	After	after	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	2	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	3	Introduction	introduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	5	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	6	describe	describe	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	7	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	8	proposed	propose	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	9	method	method	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	10	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	12	dataset	dataset	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	13	analyzed	analyze	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	14	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	15	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	16	Methods	Methods	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	17	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	18	Dataset	Dataset	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	19	sections	section	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	41	20	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	1	Afterwards	afterwards	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	3	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	4	describe	describe	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	6	computational	computational	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	7	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	8	results	result	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	9	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	10	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	11	Results	Results	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	12	section	section	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	13	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	14	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	15	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	16	outcome	outcome	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	17	interpretation	interpretation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	18	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	19	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	20	Discussion	Discussion	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	21	section	section	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	22	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	23	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	24	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	25	conclude	conclude	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	26	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	27	manuscript	manuscript	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	28	outlining	outline	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	29	some	some	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	30	conclusion	conclusion	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	31	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	32	future	future	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	33	development	development	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	42	34	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	1	METHODS	methods	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	2	High	high	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	3	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	4	data	datum	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	5	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	6	lead	lead	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	7	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	8	several	several	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	9	problems	problem	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	10	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	11	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	12	addition	addition	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	13	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	14	high	high	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	15	computational	computational	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	16	costs	cost	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	17	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	18	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	19	memory	memory	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	20	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	21	time	time	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	22	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	23	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	24	it	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	25	often	often	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	26	leads	lead	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	27	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	28	overfitting	overfitte	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	29	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	30	Van	Van	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	31	Der	Der	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	32	Maaten	Maaten	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	33	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	34	Postma	Postma	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	35	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	36	Van	Van	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	37	den	den	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	38	Herik	Herik	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	39	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	40	2009	2009	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	41	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	42	Chicco	Chicco	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	43	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	44	2017	2017	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	45	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	46	Moore	Moore	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	47	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	48	2004	2004	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	49	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	43	50	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	1	Dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	2	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	3	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	4	limit	limit	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	5	these	these	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	6	problems	problem	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	7	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	8	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	9	additionally	additionally	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	10	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	11	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	12	improve	improve	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	13	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	14	visualization	visualization	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	15	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	16	interpretation	interpretation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	17	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	18	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	19	dataset	dataset	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	20	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	21	because	because	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	22	it	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	23	allows	allow	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	24	researchers	researcher	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	25	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	26	focus	focus	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	27	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	28	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	29	reduced	reduced	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	30	number	number	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	31	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	32	features	feature	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	44	33	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	1	For	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	2	these	these	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	3	reasons	reason	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	5	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	6	decided	decide	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	7	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	8	map	map	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	9	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	10	original	original	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	11	dataset	dataset	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	12	features	feature	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	13	into	into	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	14	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	15	reduced	reduce	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	16	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	17	before	before	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	18	performing	perform	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	19	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	20	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	21	task	task	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	45	22	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	1	Generally	generally	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	3	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	4	tackle	tackle	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	5	high	high	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	6	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	7	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	8	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	9	problems	problem	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	10	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	11	machine	machine	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	12	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	13	traditional	traditional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	14	approaches	approach	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	15	attempt	attempt	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	16	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	17	reduce	reduce	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	18	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	19	high	high	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	20	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	21	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	22	feature	feature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	23	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	24	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	25	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	26	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	27	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	28	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	29	one	one	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	30	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	31	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	32	facilitate	facilitate	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	33	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	34	posterior	posterior	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	35	fitting	fitting	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	36	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	37	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	38	predictive	predictive	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	39	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	46	40	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	2	many	many	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	3	cases	case	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	5	researchers	researcher	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	6	perform	perform	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	7	these	these	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	8	two	two	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	9	steps	step	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	10	separately	separately	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	12	deriving	derive	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	13	suboptimal	suboptimal	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	14	combined	combine	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	15	models	model	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	16	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	17	Li	Li	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	18	et	et	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	19	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	20	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	21	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	22	2012	2012	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	23	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	24	Bessa	Bessa	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	25	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	26	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	27	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	28	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	29	2014	2014	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	30	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	31	Lacoste	Lacoste	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	32	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	33	Julien	Julien	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	34	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	35	Sha	Sha	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	36	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	37	Jordan	Jordan	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	38	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	39	2009	2009	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	40	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	47	41	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	1	Moreover	moreover	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	3	since	since	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	4	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	5	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	6	techniques	technique	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	7	are	be	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	8	often	often	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	9	learned	learn	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	10	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	11	an	an	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	12	unsupervised	unsupervised	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	13	fashion	fashion	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	14	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	15	they	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	16	are	be	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	17	unable	unable	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	18	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	19	preserve	preserve	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	20	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	21	exploit	exploit	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	22	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	23	separability	separability	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	24	between	between	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	25	observations	observation	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	26	from	from	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	27	different	different	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	28	classes	class	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	48	29	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	2	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	3	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	5	researchers	researcher	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	6	use	use	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	7	two	two	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	8	categories	category	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	9	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	10	objective	objective	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	11	functions	function	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	12	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	13	one	one	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	14	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	15	maximizing	maximize	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	16	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	17	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	18	capability	capability	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	19	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	20	recovering	recover	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	21	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	22	original	original	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	23	feature	feature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	24	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	25	from	from	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	26	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	27	compressed	compress	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	28	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	29	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	30	one	one	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	31	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	32	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	33	another	another	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	34	one	one	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	35	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	36	maximizing	maximize	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	37	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	38	consistency	consistency	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	39	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	40	pairwise	pairwise	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	41	similarities	similarity	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	42	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	43	both	both	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	44	high	high	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	45	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	46	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	47	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	48	spaces	space	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	49	49	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	1	Since	since	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	2	defining	define	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	3	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	4	similarity	similarity	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	5	metric	metric	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	6	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	7	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	8	high	high	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	9	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	10	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	11	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	12	might	may	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	13	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	14	difficult	difficult	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	15	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	16	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	17	limit	limit	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	18	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	19	scope	scope	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	20	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	21	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	22	work	work	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	23	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	24	minimizing	minimize	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	25	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	26	reconstruction	reconstruction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	27	loss	loss	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	50	28	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	2	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	3	sense	sense	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	5	given	give	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	6	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	7	set	set	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	8	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	9	labeled	label	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	10	input	input	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	11	vectors	vector	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	12	X	X	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	13	=	=	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	14	{	{	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	15	x1	x1	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	16	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	17	x2	x2	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	18	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	19	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	20	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	21	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	22	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	23	xn	xn	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	24	}	}	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	25	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	26	where	where	WRB
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	27	xi	xi	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	28	∈	∈	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	29	R	r	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	30	d	d	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	31	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	32	∀i	∀i	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	33	∈	∈	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	34	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	35	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	36	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	37	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	38	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	39	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	40	n	n	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	41	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	42	Y	Y	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	43	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	44	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	45	vector	vector	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	46	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	47	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	48	labels	label	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	49	associated	associate	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	50	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	51	each	each	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	52	observation	observation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	53	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	54	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	55	want	want	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	56	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	57	obtain	obtain	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	58	two	two	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	59	functions	function	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	60	C	c	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	61	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	62	R	r	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	63	d	d	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	64	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	65	Rm	Rm	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	66	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	67	D	D	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	68	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	69	Rm	Rm	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	70	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	71	Rd	Rd	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	72	such	such	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	73	that	that	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	74	m	m	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	75	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	76	d	d	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	77	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	78	that	that	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	79	minimizes	minimize	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	80	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	81	following	following	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	82	loss	loss	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	83	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	84	LrðC	LrðC	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	85	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	86	D	D	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	87	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	88	XÞ	XÞ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	89	¼	¼	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	90	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	91	jXj	jXj	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	92	X	X	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	93	x2X	x2X	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	94	ðD	ðD	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	95	�	�	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	96	CÞðxÞ	CÞðxÞ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	97	�	�	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	98	xð	xð	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	99	Þ2	Þ2	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	100	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	101	1	1	LS
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	102	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	103	Namely	namely	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	104	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	105	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	106	composition	composition	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	107	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	108	○	○	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	109	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	110	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	111	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	112	compressing	compressing	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	113	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	114	C	C	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	115	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	116	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	117	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	118	decompressing	decompressing	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	119	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	120	D	D	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	121	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	122	functions	function	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	123	approximate	approximate	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	124	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	125	identity	identity	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	126	function	function	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	51	127	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	2	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	3	following	following	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	4	sections	section	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	6	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	7	describe	describe	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	8	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	9	proposed	propose	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	10	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	11	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	12	technique	technique	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	13	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	14	its	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	15	instantiation	instantiation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	16	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	17	deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	18	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	19	architectures	architecture	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	52	20	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	53	1	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	53	2	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	53	3	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	53	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	54	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	54	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	54	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	54	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	54	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	54	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	54	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	10	3/20	3/20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	11	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	13	Joint	joint	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	14	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	15	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	16	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	17	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	18	Since	since	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	19	our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	20	final	final	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	21	goal	goal	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	22	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	23	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	24	classify	classify	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	25	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	26	data	data	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	27	instances	instance	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	28	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	29	observations	observation	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	30	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	31	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	32	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	33	need	need	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	34	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	35	achieve	achieve	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	36	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	37	good	good	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	38	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	39	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	40	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	41	mapping	mapping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	42	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	43	build	build	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	44	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	45	classifier	classifier	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	46	independently	independently	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	55	47	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	1	Thereby	thereby	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	3	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	4	propose	propose	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	5	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	6	joint	joint	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	7	loss	loss	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	8	function	function	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	9	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	10	minimizes	minimize	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	12	trade	trade	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	13	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	14	off	off	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	15	between	between	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	16	data	datum	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	17	reconstruction	reconstruction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	18	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	19	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	20	performance	performance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	21	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	22	LðM	lðm	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	23	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	24	C	C	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	25	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	26	D	d	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	27	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	28	X	x	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	29	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	30	YÞ	YÞ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	31	¼	¼	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	32	LcððM	LcððM	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	33	�	�	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	34	CÞðXÞ	CÞðXÞ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	35	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	36	YÞ	YÞ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	37	þ	þ	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	38	�	�	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	39	LrðC	LrðC	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	40	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	41	D	d	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	42	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	43	XÞ	XÞ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	44	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	45	2	2	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	46	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	47	where	where	WRB
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	48	M	M	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	49	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	50	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	51	classifier	classifier	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	52	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	53	receives	receive	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	54	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	55	input	input	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	56	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	57	vectors	vector	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	58	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	59	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	60	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	61	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	62	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	63	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	64	C(X	C(X	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	65	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	66	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	67	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	68	Lc	Lc	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	69	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	70	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	71	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	72	loss	loss	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	73	function	function	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	74	such	such	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	75	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	76	categorical	categorical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	77	cross	cross	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	78	-	-	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	79	entropy	entropy	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	80	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	81	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	82	�	�	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	83	�	�	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	84	0	0	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	56	85	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	57	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	57	2	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	57	3	case	case	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	57	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	57	5	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	57	6	focus	focus	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	57	7	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	57	8	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	57	9	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	57	10	performance	performance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	57	11	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	57	12	Eq	Eq	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	57	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	58	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	58	2	1	1	LS
work_d6kjnyqzwjcgzjuphidi4rvpvu	58	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	58	4	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	58	5	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	58	6	regularization	regularization	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	58	7	factor	factor	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	58	8	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	58	9	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	58	10	models	model	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	58	11	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	58	12	interest	interest	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	58	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	59	1	Hereafter	hereafter	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	59	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	59	3	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	59	4	will	will	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	59	5	denote	denote	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	59	6	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	59	7	method	method	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	59	8	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	59	9	semi	semi	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	59	10	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	59	11	supervised	supervised	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	59	12	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	59	13	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	59	14	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	1	Fully	fully	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	2	supervised	supervise	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	3	embeddings	embedding	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	4	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	5	previously	previously	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	6	proposed	propose	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	7	loss	loss	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	8	function	function	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	9	consists	consist	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	10	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	11	two	two	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	12	components	component	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	13	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	14	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	15	supervised	supervise	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	16	component	component	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	17	given	give	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	18	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	19	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	20	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	21	task	task	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	22	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	23	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	24	an	an	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	25	unsupervised	unsupervised	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	26	component	component	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	27	given	give	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	28	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	29	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	30	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	31	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	32	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	33	mapping	mapping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	60	34	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	1	However	however	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	3	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	4	scientific	scientific	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	5	community	community	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	6	aims	aim	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	7	at	at	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	8	understanding	understand	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	9	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	10	properties	property	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	11	captured	capture	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	12	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	13	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	14	embeddings	embedding	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	15	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	16	especially	especially	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	17	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	18	visual	visual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	19	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	20	text	text	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	21	embeddings	embedding	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	22	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	23	Kiros	Kiros	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	24	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	25	Salakhutdinov	Salakhutdinov	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	26	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	27	Zemel	Zemel	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	28	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	29	2014	2014	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	30	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	31	Levy	Levy	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	32	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	33	Goldberg	Goldberg	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	34	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	35	Ramat	Ramat	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	36	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	37	Gan	Gan	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	38	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	39	2014	2014	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	40	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	61	41	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	62	1	Moreover	moreover	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	62	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	62	3	inducing	induce	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	62	4	properties	property	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	62	5	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	62	6	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	62	7	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	62	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	62	9	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	62	10	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	62	11	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	62	12	improve	improve	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	62	13	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	62	14	class	class	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	62	15	separability	separability	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	62	16	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	63	1	To	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	63	2	apply	apply	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	63	3	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	63	4	enhancement	enhancement	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	63	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	63	6	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	63	7	introduce	introduce	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	63	8	partial	partial	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	63	9	supervision	supervision	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	63	10	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	63	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	63	12	Lr	Lr	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	63	13	loss	loss	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	63	14	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	64	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	64	2	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	64	3	explore	explore	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	64	4	these	these	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	64	5	properties	property	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	64	6	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	64	7	learning	learn	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	64	8	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	64	9	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	64	10	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	64	11	process	process	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	64	12	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	64	13	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	64	14	supervised	supervised	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	64	15	way	way	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	64	16	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	1	Namely	namely	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	3	learning	learn	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	4	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	5	bottleneck	bottleneck	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	6	supervised	supervise	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	7	mapping	mapping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	8	function	function	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	9	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	10	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	11	D	d	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	12	○	○	``
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	13	C)(x	C)(x	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	14	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	15	≈	≈	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	16	M(x	M(x	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	17	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	18	y	y	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	19	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	20	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	21	instead	instead	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	22	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	23	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	24	traditional	traditional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	25	identity	identity	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	26	function	function	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	27	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	28	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	29	D	d	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	30	○	○	``
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	31	C)(x	C)(x	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	32	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	33	≈	≈	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	34	x	x	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	35	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	36	used	use	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	37	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	38	reconstruction	reconstruction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	39	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	40	based	base	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	41	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	42	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	43	techniques	technique	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	65	44	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	2	reconstruction	reconstruction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	3	loss	loss	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	4	Lr(C	Lr(C	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	6	D	D	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	7	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	8	X	x	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	9	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	10	becomes	become	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	11	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	12	LMðC	LMðC	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	13	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	14	D	d	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	15	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	16	X	x	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	17	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	18	YÞ	YÞ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	19	¼	¼	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	20	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	21	jXj	jXj	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	22	X	X	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	23	hx;yi2X;Y	hx;yi2x;y	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	24	ðD	ðD	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	25	�	�	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	26	CÞðxÞ	cþðxþ	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	27	�	�	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	28	Mðx	Mðx	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	29	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	30	yÞð	yþð	ADD
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	31	Þ2	Þ2	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	32	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	33	3	3	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	34	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	35	where	where	WRB
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	36	M(x	M(x	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	37	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	38	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	39	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	40	desired	desire	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	41	supervised	supervised	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	42	mapping	mapping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	66	43	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	1	To	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	2	facilitate	facilitate	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	3	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	4	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	5	task	task	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	7	removing	remove	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	8	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	9	overlap	overlap	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	10	between	between	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	11	both	both	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	12	classes	class	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	13	should	should	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	14	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	15	captured	capture	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	16	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	17	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	18	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	19	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	20	spaces	space	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	67	21	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	68	1	Without	without	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	68	2	loss	loss	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	68	3	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	68	4	generality	generality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	68	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	68	6	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	68	7	assume	assume	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	68	8	that	that	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	68	9	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	68	10	feature	feature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	68	11	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	68	12	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	68	13	non	non	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	68	14	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	68	15	negative	negative	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	68	16	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	69	1	Thereby	thereby	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	69	2	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	69	3	favor	favor	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	69	4	models	model	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	69	5	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	69	6	high	high	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	69	7	linear	linear	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	69	8	separability	separability	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	69	9	between	between	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	69	10	observations	observation	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	69	11	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	69	12	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	69	13	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	69	14	mapping	mapping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	69	15	function	function	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	69	16	Eq	eq	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	69	17	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	70	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	70	2	4	4	LS
work_d6kjnyqzwjcgzjuphidi4rvpvu	70	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	70	4	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	70	5	Eq	Eq	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	70	6	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	71	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	71	2	3	3	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	71	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	71	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	1	Symðx	Symðx	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	2	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	3	yÞ	yÞ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	4	¼	¼	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	5	x	x	LS
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	6	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	7	if	if	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	8	y	y	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	9	�	�	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	10	x	x	LS
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	11	;	;	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	12	if	if	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	13	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	14	y	y	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	15	�	�	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	16	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	17	4	4	LS
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	18	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	19	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	20	our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	21	application	application	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	22	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	23	if	if	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	24	all	all	PDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	25	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	26	features	feature	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	27	are	be	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	28	non	non	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	29	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	30	negative	negative	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	31	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	32	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	33	optimal	optimal	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	34	patient	patient	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	35	’s	’s	POS
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	36	behavior	behavior	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	37	associates	associate	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	38	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	39	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	40	zero	zero	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	41	vector	vector	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	42	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	43	total	total	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	44	lack	lack	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	45	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	46	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	47	patterns	pattern	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	72	48	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	73	1	On	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	73	2	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	73	3	other	other	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	73	4	hand	hand	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	73	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	73	6	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	73	7	patient	patient	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	73	8	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	73	9	high	high	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	73	10	feature	feature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	73	11	values	value	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	73	12	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	73	13	prone	prone	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	73	14	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	73	15	have	have	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	73	16	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	73	17	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	74	1	Within	within	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	74	2	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	74	3	context	context	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	74	4	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	74	5	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	74	6	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	74	7	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	74	8	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	74	9	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	74	10	propose	propose	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	74	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	74	12	mapping	mapping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	74	13	given	give	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	74	14	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	74	15	Eq	Eq	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	74	16	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	75	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	75	2	5	5	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	75	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	75	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	75	5	where	where	WRB
work_d6kjnyqzwjcgzjuphidi4rvpvu	75	6	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	75	7	decoded	decode	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	75	8	version	version	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	75	9	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	75	10	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	75	11	healthy	healthy	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	75	12	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	75	13	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	75	14	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	75	15	zero	zero	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	75	16	vector	vector	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	75	17	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	76	1	This	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	76	2	idea	idea	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	76	3	resembles	resemble	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	76	4	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	76	5	fact	fact	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	76	6	that	that	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	76	7	their	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	76	8	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	76	9	conduct	conduct	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	76	10	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	76	11	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	76	12	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	76	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	77	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	77	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	77	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	77	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	77	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	77	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	77	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	10	4/20	4/20	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	11	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	ADD
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	13	has	have	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	14	not	not	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	15	contributed	contribute	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	16	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	17	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	18	disease	disease	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	19	occurrence	occurrence	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	78	20	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	1	On	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	2	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	3	other	other	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	4	hand	hand	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	6	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	7	mapped	map	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	8	ill	ill	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	9	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	10	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	11	their	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	12	original	original	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	13	feature	feature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	14	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	15	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	16	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	17	promoting	promote	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	18	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	19	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	20	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	21	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	22	vectors	vector	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	23	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	24	explain	explain	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	25	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	26	original	original	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	27	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	28	patterns	pattern	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	29	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	30	originated	originate	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	31	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	32	disease	disease	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	79	33	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	1	Zeroðx	Zeroðx	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	2	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	3	yÞ	yþ	ADD
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	4	¼	¼	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	5	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	6	ðyÞ	ðyÞ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	7	�	�	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	8	x	x	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	9	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	10	5	5	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	11	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	12	While	while	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	13	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	14	definition	definition	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	15	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	16	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	17	properties	property	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	18	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	19	interest	interest	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	20	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	21	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	22	captured	capture	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	23	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	24	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	25	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	26	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	27	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	28	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	29	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	30	application	application	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	31	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	32	dependent	dependent	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	33	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	34	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	35	strategy	strategy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	36	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	37	promote	promote	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	38	such	such	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	39	behavior	behavior	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	40	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	41	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	42	adapted	adapt	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	43	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	44	other	other	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	45	contexts	contexts	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	80	46	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	1	Deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	2	supervised	supervised	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	3	autoencoders	autoencoder	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	4	Autoencoders	autoencoder	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	5	are	be	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	6	special	special	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	7	cases	case	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	8	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	9	deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	10	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	11	networks	network	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	12	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	13	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	14	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	15	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	16	Chicco	Chicco	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	17	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	18	Sadowski	Sadowski	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	19	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	20	Baldi	Baldi	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	21	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	22	2014	2014	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	23	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	24	Vincent	Vincent	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	25	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	26	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	27	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	28	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	29	2008	2008	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	30	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	81	31	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	1	They	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	2	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	3	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	4	seen	see	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	5	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	6	general	general	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	7	feed-	feed-	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	8	forward	forward	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	9	neural	neural	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	10	networks	network	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	11	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	12	two	two	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	13	main	main	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	14	sub	sub	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	15	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	16	components	component	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	17	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	18	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	19	first	first	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	20	part	part	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	21	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	22	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	23	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	24	network	network	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	25	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	26	known	know	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	27	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	28	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	29	encoder	encoder	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	30	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	31	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	32	its	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	33	main	main	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	34	purpose	purpose	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	35	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	36	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	37	compress	compress	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	38	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	39	feature	feature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	40	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	82	41	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	2	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	3	network	network	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	4	achieves	achieve	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	5	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	6	step	step	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	7	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	8	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	9	hidden	hide	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	10	layers	layer	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	11	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	12	fewer	few	JJR
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	13	units	unit	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	14	than	than	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	15	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	16	input	input	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	17	features	feature	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	18	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	19	or	or	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	20	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	21	enforcing	enforce	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	22	sparsity	sparsity	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	23	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	24	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	25	hidden	hidden	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	26	representation	representation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	83	27	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	2	second	second	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	3	part	part	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	4	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	6	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	7	network	network	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	8	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	9	also	also	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	10	known	know	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	11	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	12	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	13	decoder	decoder	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	14	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	15	behaves	behave	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	16	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	17	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	18	opposite	opposite	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	19	way	way	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	20	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	21	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	22	tries	try	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	23	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	24	approximate	approximate	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	25	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	26	inverse	inverse	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	27	encoding	encoding	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	28	function	function	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	84	29	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	85	1	While	while	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	85	2	these	these	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	85	3	two	two	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	85	4	components	component	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	85	5	correspond	correspond	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	85	6	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	85	7	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	85	8	C	c	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	85	9	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	85	10	D	d	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	85	11	functions	function	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	85	12	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	85	13	Eq	Eq	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	85	14	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	2	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	5	respectively	respectively	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	7	they	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	8	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	9	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	10	broadly	broadly	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	11	seen	see	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	12	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	13	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	14	single	single	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	15	ANN	ANN	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	16	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	17	learns	learn	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	18	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	19	identity	identity	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	20	function	function	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	21	through	through	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	22	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	23	bottleneck	bottleneck	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	24	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	25	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	26	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	27	number	number	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	28	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	29	units	unit	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	30	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	31	or	or	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	32	through	through	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	33	sparse	sparse	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	34	activations	activation	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	86	35	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	87	1	Autoencoders	autoencoder	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	87	2	are	be	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	87	3	usually	usually	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	87	4	learned	learn	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	87	5	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	87	6	an	an	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	87	7	unsupervised	unsupervised	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	87	8	fashion	fashion	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	87	9	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	87	10	minimizing	minimize	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	87	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	87	12	quadratic	quadratic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	87	13	error	error	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	87	14	Eq	Eq	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	87	15	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	88	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	88	2	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	88	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	88	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	1	Denoising	denoise	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	2	autoencoders	autoencoder	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	3	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	4	DA	DA	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	5	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	6	represent	represent	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	7	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	8	special	special	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	9	case	case	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	10	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	11	deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	12	autoencoders	autoencoder	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	13	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	14	attempt	attempt	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	15	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	16	reconstruct	reconstruct	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	17	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	18	input	input	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	19	vector	vector	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	20	when	when	WRB
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	21	given	give	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	22	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	23	corrupted	corrupt	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	24	version	version	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	25	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	26	Vincent	Vincent	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	27	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	28	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	29	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	30	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	31	2008	2008	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	32	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	89	33	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	90	1	DA	DA	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	90	2	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	90	3	learn	learn	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	90	4	valuable	valuable	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	90	5	representations	representation	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	90	6	even	even	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	90	7	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	90	8	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	90	9	presence	presence	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	90	10	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	90	11	noise	noise	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	90	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	91	1	Scientists	scientist	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	91	2	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	91	3	experiment	experiment	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	91	4	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	91	5	task	task	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	91	6	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	91	7	adding	add	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	91	8	an	an	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	91	9	artificial	artificial	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	91	10	source	source	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	91	11	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	91	12	noise	noise	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	91	13	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	91	14	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	91	15	input	input	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	91	16	vectors	vector	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	91	17	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	92	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	92	2	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	92	3	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	92	4	network	network	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	92	5	architecture	architecture	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	92	6	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	92	7	Fig	fig	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	92	8	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	1	1	1	LS
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	2	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	4	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	5	also	also	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	6	included	include	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	7	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	8	dropout	dropout	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	9	layer	layer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	10	after	after	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	12	input	input	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	13	layer	layer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	14	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	15	randomly	randomly	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	16	turns	turn	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	17	off	off	RP
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	18	at	at	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	19	maximum	maximum	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	20	one	one	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	21	feature	feature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	22	per	per	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	23	patient	patient	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	24	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	25	Srivastava	Srivastava	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	26	et	et	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	27	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	28	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	29	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	30	2014	2014	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	31	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	93	32	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	1	Thereby	thereby	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	3	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	4	aim	aim	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	5	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	6	build	build	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	7	stable	stable	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	8	classifiers	classifier	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	9	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	10	produce	produce	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	11	similar	similar	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	12	outcomes	outcome	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	13	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	14	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	15	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	16	small	small	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	17	differences	difference	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	18	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	19	their	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	20	historical	historical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	21	records	record	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	94	22	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	1	Furthermore	furthermore	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	3	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	4	aim	aim	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	5	at	at	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	6	producing	produce	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	7	stable	stable	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	8	decisions	decision	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	9	when	when	WRB
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	10	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	11	lie	lie	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	12	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	13	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	14	subset	subset	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	15	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	16	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	17	answers	answer	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	18	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	19	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	20	doctors	doctor	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	21	’	’	POS
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	22	questions	question	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	23	during	during	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	24	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	25	medical	medical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	26	visit	visit	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	27	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	28	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	29	indicating	indicate	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	30	absence	absence	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	31	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	32	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	33	given	give	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	34	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	35	behavior	behavior	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	36	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	37	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	38	example	example	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	39	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	40	high	high	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	41	number	number	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	42	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	43	sexual	sexual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	44	partners	partner	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	45	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	46	drug	drug	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	47	consumption	consumption	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	48	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	49	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	50	others	other	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	51	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	95	52	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	2	use	use	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	3	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	4	Parametric	Parametric	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	5	Rectifier	Rectifier	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	6	Linear	Linear	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	7	Unit	Unit	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	8	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	9	PReLU	prelu	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	10	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	11	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	12	He	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	13	et	et	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	14	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	15	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	16	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	17	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	18	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	19	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	20	activation	activation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	21	function	function	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	22	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	23	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	24	hidden	hide	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	25	layers	layer	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	26	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	27	our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	28	architectures	architecture	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	29	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	30	Fig	fig	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	96	31	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	97	1	1	1	LS
work_d6kjnyqzwjcgzjuphidi4rvpvu	97	2	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	97	3	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	1	PReLU	PReLU	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	2	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	3	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	4	generalization	generalization	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	5	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	6	standard	standard	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	7	rectifier	rectifier	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	8	activation	activation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	9	units	unit	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	10	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	11	which	which	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	12	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	13	improve	improve	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	14	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	15	fitting	fitting	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	16	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	17	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	18	additional	additional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	19	computational	computational	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	20	cost	cost	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	21	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	22	He	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	23	et	et	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	24	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	25	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	26	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	27	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	28	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	98	29	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	99	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	99	2	loss	loss	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	99	3	functions	function	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	99	4	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	99	5	Eqs	Eqs	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	99	6	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	1	2	2	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	2	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	3	3	3	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	4	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	5	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	6	learn	learn	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	7	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	8	joint	joint	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	9	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	10	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	11	encoding	encoding	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	12	–	–	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	13	decoding	decode	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	14	network	network	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	15	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	16	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	17	multitask	multitask	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	18	fashion	fashion	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	19	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	20	Fig	fig	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	100	21	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	101	1	2	2	LS
work_d6kjnyqzwjcgzjuphidi4rvpvu	101	2	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	101	3	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	1	Additionally	additionally	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	3	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	4	allow	allow	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	6	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	7	network	network	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	8	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	9	use	use	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	10	either	either	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	12	learned	learn	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	13	or	or	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	14	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	15	original	original	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	16	representation	representation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	17	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	18	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	19	include	include	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	20	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	21	bypass	bypass	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	22	layer	layer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	23	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	24	concatenates	concatenate	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	25	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	26	hidden	hide	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	27	representation	representation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	28	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	29	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	30	corrupted	corrupt	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	31	input	input	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	102	32	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	2	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	3	past	past	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	5	researchers	researcher	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	6	have	have	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	7	used	use	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	8	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	9	technique	technique	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	10	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	11	biomedical	biomedical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	12	image	image	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	13	segmentation	segmentation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	14	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	15	U	u	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	16	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	17	net	net	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	18	architectures	architecture	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	19	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	20	Ronneberger	Ronneberger	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	21	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	22	Fischer	Fischer	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	23	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	24	Brox	Brox	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	25	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	26	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	27	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	28	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	29	recover	recover	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	30	possible	possible	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	31	losses	loss	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	32	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	33	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	34	compression	compression	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	35	process	process	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	36	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	37	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	38	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	39	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	103	40	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	104	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	104	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	104	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	104	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	104	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	104	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	104	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	10	5/20	5/20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	11	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	13	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	14	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	15	reduce	reduce	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	16	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	17	problem	problem	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	18	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	19	vanishing	vanish	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	20	gradients	gradient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	105	21	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	106	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	106	2	use	use	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	106	3	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	106	4	bypass	bypass	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	106	5	layer	layer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	106	6	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	106	7	cross	cross	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	106	8	-	-	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	106	9	validation	validation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	106	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	2	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	3	nutshell	nutshell	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	5	our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	6	contribution	contribution	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	7	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	8	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	9	summarized	summarize	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	10	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	11	follows	follow	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	12	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	13	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	14	i	i	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	15	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	16	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	17	formalized	formalize	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	18	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	19	loss	loss	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	20	function	function	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	21	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	22	handle	handle	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	23	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	24	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	25	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	26	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	27	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	28	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	29	joint	joint	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	30	fashion	fashion	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	31	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	32	leading	lead	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	33	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	34	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	35	global	global	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	36	optimal	optimal	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	37	pipeline	pipeline	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	38	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	39	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	40	ii	ii	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	41	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	42	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	43	order	order	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	44	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	45	induce	induce	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	46	desired	desire	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	47	properties	property	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	48	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	49	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	50	compressed	compress	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	51	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	52	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	53	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	54	proposed	propose	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	55	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	56	loss	loss	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	57	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	58	measures	measure	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	59	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	60	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	61	’s	’s	POS
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	62	capability	capability	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	63	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	64	recreate	recreate	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	65	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	66	mapping	mapping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	67	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	68	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	69	desired	desire	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	70	property	property	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	71	instead	instead	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	72	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	73	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	74	identity	identity	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	75	function	function	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	76	usually	usually	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	77	applied	apply	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	78	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	79	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	80	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	81	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	82	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	83	iii	iii	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	84	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	85	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	86	showed	show	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	87	that	that	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	88	multitask	multitask	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	89	autoencoders	autoencoder	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	90	based	base	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	91	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	92	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	93	networks	network	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	94	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	95	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	96	used	use	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	97	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	98	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	99	specific	specific	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	100	instance	instance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	101	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	102	solve	solve	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	103	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	104	problem	problem	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	105	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	106	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	107	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	108	instantiated	instantiate	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	109	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	110	idea	idea	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	111	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	112	model	model	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	113	an	an	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	114	individual	individual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	115	patient	patient	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	116	’s	’s	POS
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	117	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	118	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	119	having	have	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	120	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	121	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	107	122	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	1	DATASET	DATASET	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	2	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	3	dataset	dataset	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	4	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	5	analyze	analyze	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	6	contains	contain	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	7	medical	medical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	8	records	record	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	9	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	10	858	858	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	11	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	13	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	14	covers	cover	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	15	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	16	random	random	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	17	sampling	sampling	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	18	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	19	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	20	between	between	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	21	2012	2012	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	22	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	23	2013	2013	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	24	who	who	WP
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	25	attended	attend	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	26	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	27	gynecology	gynecology	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	28	service	service	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	29	at	at	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	30	Figure	figure	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	31	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	32	Deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	33	denoising	denoise	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	34	autoencoder	autoencoder	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	108	35	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	2	blocks	block	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	3	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	4	blue	blue	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	5	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	6	red	red	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	7	represent	represent	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	8	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	9	encoding	encoding	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	10	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	11	C	C	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	12	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	13	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	14	decoding	decode	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	15	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	16	D	d	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	17	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	18	components	component	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	19	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	20	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	21	network	network	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	22	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	23	respectively	respectively	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	109	24	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	110	1	Full	full	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	110	2	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	110	3	size	size	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	110	4	DOI	doi	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	110	5	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	110	6	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	110	7	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	110	8	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	110	9	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	110	10	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	110	11	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	110	12	fig-1	fig-1	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	110	13	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	110	14	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	110	15	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	110	16	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	111	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	111	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	111	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	111	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	111	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	111	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	111	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	10	6/20	6/20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	11	http://dx.doi.org/10.7717/peerj-cs.154/fig-1	http://dx.doi.org/10.7717/peerj-cs.154/fig-1	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	12	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	ADD
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	14	Hospital	Hospital	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	15	Universitario	Universitario	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	16	de	de	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	17	Caracas	Caracas	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	18	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	19	Caracas	Caracas	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	20	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	21	Venezuela	Venezuela	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	112	22	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	1	Most	Most	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	2	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	3	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	4	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	5	belong	belong	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	6	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	7	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	8	lowest	low	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	9	socioeconomic	socioeconomic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	10	status	status	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	11	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	12	Graffar	Graffar	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	13	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	14	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	15	IV	IV	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	16	–	–	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	17	V	V	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	18	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	19	Graffar	Graffar	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	20	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	21	1956	1956	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	22	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	23	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	24	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	25	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	26	income	income	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	27	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	28	educational	educational	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	29	level	level	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	30	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	31	being	be	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	32	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	33	population	population	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	34	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	35	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	36	highest	high	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	37	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	113	38	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	2	age	age	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	3	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	4	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	5	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	6	spans	span	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	7	between	between	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	8	13	13	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	9	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	10	84	84	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	11	years	year	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	12	old	old	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	13	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	14	27	27	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	15	years	year	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	16	old	old	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	17	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	18	average	average	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	19	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	114	20	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	1	All	all	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	2	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	3	are	be	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	4	sexually	sexually	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	5	active	active	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	6	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	7	most	most	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	8	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	9	them	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	10	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	11	98	98	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	12	%	%	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	13	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	14	have	have	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	15	been	be	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	16	pregnant	pregnant	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	17	at	at	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	18	least	least	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	19	once	once	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	115	20	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	2	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	3	process	process	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	4	covers	cover	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	5	traditional	traditional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	6	cytology	cytology	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	7	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	8	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	9	colposcopic	colposcopic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	10	assessment	assessment	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	11	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	12	acetic	acetic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	13	acid	acid	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	14	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	15	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	16	Schiller	Schiller	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	17	test	test	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	18	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	19	Lugol	Lugol	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	20	’s	’s	POS
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	21	iodine	iodine	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	22	solution	solution	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	23	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	24	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	25	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	26	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	27	Cardoso	Cardoso	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	28	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	29	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	30	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	31	2017b	2017b	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	32	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	116	33	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	2	medical	medical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	3	records	record	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	4	include	include	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	6	age	age	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	7	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	8	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	9	patient	patient	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	10	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	11	sexual	sexual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	12	activity	activity	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	13	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	14	number	number	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	15	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	16	sexual	sexual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	17	partners	partner	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	18	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	19	age	age	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	20	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	21	first	first	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	22	sexual	sexual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	23	intercourse	intercourse	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	24	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	25	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	26	number	number	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	27	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	28	pregnancies	pregnancy	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	29	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	30	smoking	smoking	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	31	behavior	behavior	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	32	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	33	use	use	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	34	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	35	contraceptives	contraceptive	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	36	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	37	hormonal	hormonal	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	38	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	39	intrauterine	intrauterine	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	40	devices	device	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	41	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	42	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	43	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	44	historical	historical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	45	records	record	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	46	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	47	sexually	sexually	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	48	transmitted	transmit	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	49	diseases	disease	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	50	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	51	STDs	STDs	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	52	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	53	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	54	Table	table	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	55	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	56	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	117	57	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	1	Hence	hence	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	3	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	4	encoded	encode	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	6	features	feature	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	7	denoted	denote	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	8	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	9	bool	bool	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	10	�	�	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	11	T	t	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	13	T	T	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	14	∈	∈	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	15	{	{	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	16	bool	bool	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	17	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	18	int	int	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	19	}	}	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	20	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	21	two	two	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	22	independent	independent	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	23	values	value	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	24	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	25	whether	whether	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	26	or	or	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	27	not	not	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	28	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	29	patient	patient	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	30	answered	answer	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	31	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	32	question	question	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	33	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	34	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	35	if	if	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	36	she	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	37	did	do	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	38	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	39	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	40	answered	answer	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	41	value	value	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	118	42	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	119	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	119	2	some	some	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	119	3	cases	case	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	119	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	119	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	119	6	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	119	7	decided	decide	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	119	8	not	not	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	119	9	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	119	10	answer	answer	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	119	11	some	some	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	119	12	questions	question	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	119	13	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	119	14	privacy	privacy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	119	15	concerns	concern	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	119	16	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	1	This	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	2	behavior	behavior	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	3	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	4	often	often	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	5	associated	associate	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	6	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	7	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	8	behaviors	behavior	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	9	being	be	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	10	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	11	relevant	relevant	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	12	feature	feature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	13	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	14	explore	explore	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	15	when	when	WRB
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	16	modeling	model	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	17	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	18	patterns	pattern	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	120	19	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	1	Therefore	therefore	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	3	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	4	added	add	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	5	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	6	flag	flag	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	7	feature	feature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	8	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	9	allows	allow	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	10	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	11	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	12	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	13	identify	identify	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	14	if	if	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	15	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	16	question	question	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	17	was	be	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	18	answered	answer	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	19	or	or	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	20	not	not	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	21	after	after	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	22	missing	miss	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	23	value	value	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	24	imputation	imputation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	121	25	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	122	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	122	2	encoded	encode	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	122	3	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	122	4	categorical	categorical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	122	5	features	feature	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	122	6	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	122	7	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	122	8	one	one	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	122	9	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	122	10	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	122	11	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	122	12	K	k	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	122	13	scheme	scheme	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	122	14	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	123	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	123	2	hospital	hospital	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	123	3	anonymized	anonymize	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	123	4	all	all	PDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	123	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	123	6	records	record	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	123	7	before	before	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	123	8	releasing	release	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	123	9	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	123	10	dataset	dataset	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	123	11	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	2	dataset	dataset	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	3	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	4	now	now	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	5	publically	publically	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	6	available	available	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	7	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	8	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	9	Machine	Machine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	10	Learning	Learning	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	11	Repository	Repository	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	12	website	website	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	13	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	14	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	15	University	University	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	16	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	17	California	California	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	18	Irvine	Irvine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	19	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	20	UCI	UCI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	21	ML	ML	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	22	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	23	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	24	University	University	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	25	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	26	California	California	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	27	Irvine	Irvine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	28	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	29	1987	1987	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	30	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	31	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	32	Figure	figure	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	33	2	2	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	34	Supervised	supervise	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	35	deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	36	embedding	embedding	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	37	architecture	architecture	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	124	38	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	2	blocks	block	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	3	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	4	blue	blue	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	6	red	red	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	7	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	8	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	9	green	green	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	10	represent	represent	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	12	encoding	encoding	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	13	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	14	C	C	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	15	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	16	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	17	decoding	decode	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	18	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	19	D	D	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	20	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	21	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	22	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	23	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	24	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	25	M	m	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	26	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	27	components	component	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	28	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	29	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	30	network	network	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	31	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	32	respectively	respectively	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	125	33	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	126	1	Full	full	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	126	2	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	126	3	size	size	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	126	4	DOI	doi	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	126	5	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	126	6	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	126	7	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	126	8	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	126	9	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	126	10	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	126	11	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	126	12	fig-2	fig-2	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	126	13	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	126	14	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	126	15	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	126	16	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	127	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	127	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	127	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	127	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	127	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	127	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	127	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	10	7/20	7/20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	11	http://dx.doi.org/10.7717/peerj-cs.154/fig-2	http://dx.doi.org/10.7717/peerj-cs.154/fig-2	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	12	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	14	which	which	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	15	also	also	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	16	contains	contain	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	17	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	18	description	description	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	19	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	20	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	21	features	feature	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	22	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	23	University	University	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	24	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	25	California	California	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	26	Irvine	Irvine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	27	Machine	Machine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	28	Learning	Learning	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	29	Repository	Repository	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	30	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	31	2017	2017	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	32	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	128	33	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	1	To	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	2	avoid	avoid	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	3	problems	problem	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	4	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	6	algorithm	algorithm	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	7	behavior	behavior	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	8	related	relate	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	9	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	10	different	different	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	11	value	value	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	12	ranges	range	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	13	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	14	each	each	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	15	feature	feature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	16	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	17	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	18	scaled	scale	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	19	all	all	PDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	20	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	21	features	feature	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	22	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	23	our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	24	experiments	experiment	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	25	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	26	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	27	0,1	0,1	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	28	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	29	normalization	normalization	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	30	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	31	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	32	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	33	input	input	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	34	missing	miss	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	35	data	datum	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	36	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	37	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	38	average	average	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	39	value	value	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	40	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	41	Chicco	Chicco	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	42	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	43	2017	2017	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	44	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	129	45	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	1	While	while	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	2	more	more	RBR
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	3	complex	complex	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	4	pre	pre	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	5	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	6	processing	processing	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	7	schemes	scheme	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	8	could	could	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	9	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	10	introduced	introduce	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	12	such	such	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	13	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	14	inferring	infer	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	15	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	16	missing	miss	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	17	value	value	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	18	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	19	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	20	k	k	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	21	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	22	nearest	near	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	23	neighbor	neighbor	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	24	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	25	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	26	Santos	Santos	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	27	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	28	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	29	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	30	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	31	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	32	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	33	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	34	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	35	decided	decide	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	36	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	37	use	use	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	38	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	39	methodology	methodology	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	40	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	41	avoid	avoid	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	42	additional	additional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	43	complexity	complexity	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	44	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	45	would	would	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	46	make	make	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	47	it	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	48	difficult	difficult	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	49	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	50	fairly	fairly	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	51	compare	compare	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	52	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	53	explored	explored	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	54	techniques	technique	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	130	55	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	2	most	most	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	3	cases	case	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	6	features	feature	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	7	positively	positively	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	8	correlate	correlate	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	9	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	10	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	11	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	12	variable	variable	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	13	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	14	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	15	0	0	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	16	representing	represent	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	17	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	18	lack	lack	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	19	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	20	that	that	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	21	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	22	pattern	pattern	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	23	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	24	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	25	representing	represent	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	26	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	27	maximum	maximum	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	28	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	131	29	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	1	RESULTS	RESULTS	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	2	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	3	measured	measure	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	4	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	5	performance	performance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	6	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	7	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	8	proposed	propose	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	9	methods	method	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	10	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	12	area	area	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	13	under	under	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	14	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	15	Precision	Precision	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	16	–	–	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	17	Recall	Recall	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	18	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	19	PR	PR	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	20	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	21	curves	curve	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	22	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	23	Davis	Davis	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	24	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	25	Goadrich	Goadrich	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	26	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	27	2006	2006	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	28	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	29	Chicco	Chicco	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	30	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	31	2017	2017	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	32	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	33	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	34	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	35	logistic	logistic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	36	loss	loss	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	37	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	38	also	also	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	39	known	know	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	40	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	41	cross	cross	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	42	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	43	entropy	entropy	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	44	loss	loss	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	45	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	46	function	function	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	132	47	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	1	As	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	2	baseline	baseline	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	4	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	5	use	use	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	6	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	7	deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	8	feed	feed	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	9	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	10	forward	forward	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	11	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	12	network	network	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	13	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	14	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	15	softmax	softmax	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	16	activation	activation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	17	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	18	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	19	output	output	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	20	layer	layer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	133	21	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	2	remaining	remain	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	3	parameters	parameter	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	4	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	5	such	such	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	6	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	7	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	8	initial	initial	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	9	dropout	dropout	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	10	layer	layer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	12	depth	depth	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	13	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	14	optimization	optimization	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	15	algorithm	algorithm	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	16	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	17	conform	conform	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	18	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	19	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	20	ones	one	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	21	used	use	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	22	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	23	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	24	proposed	propose	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	25	methodologies	methodology	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	26	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	27	Table	table	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	28	2	2	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	29	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	134	30	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	2	main	main	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	3	hyper	hyper	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	4	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	5	parameters	parameter	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	6	related	relate	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	7	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	8	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	9	network	network	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	10	topology	topology	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	11	are	be	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	12	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	13	depth	depth	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	14	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	15	width	width	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	16	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	17	which	which	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	18	define	define	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	19	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	20	number	number	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	21	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	22	layers	layer	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	23	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	24	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	25	architecture	architecture	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	26	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	27	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	28	size	size	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	29	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	30	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	31	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	32	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	33	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	34	representation	representation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	135	35	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	1	Table	table	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	2	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	3	Feature	feature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	4	names	name	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	5	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	6	data	datum	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	7	type	type	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	8	acquired	acquire	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	9	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	10	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	11	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	12	factors	factor	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	13	dataset	dataset	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	14	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	15	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	16	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	17	Cardoso	Cardoso	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	18	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	19	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	20	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	21	2017b	2017b	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	22	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	136	23	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	1	Feature	feature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	2	Type	type	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	3	Feature	feature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	4	Type	Type	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	5	Age	Age	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	6	int	int	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	7	IUD	IUD	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	8	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	9	years	year	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	10	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	11	int	int	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	12	Number	number	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	13	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	14	sexual	sexual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	15	partners	partner	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	16	bool	bool	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	17	�	�	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	18	int	int	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	19	Sexually	sexually	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	20	transmitted	transmit	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	21	diseases	disease	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	22	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	23	STDs	STDs	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	24	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	25	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	26	yes	yes	UH
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	27	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	28	no	no	UH
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	29	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	30	bool	bool	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	31	�	�	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	32	bool	bool	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	33	Age	Age	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	34	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	35	first	first	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	36	sexual	sexual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	37	intercourse	intercourse	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	38	bool	bool	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	39	�	�	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	40	int	int	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	41	Number	number	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	42	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	43	STDs	std	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	44	int	int	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	45	Number	number	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	46	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	47	pregnancies	pregnancy	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	48	bool	bool	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	49	�	�	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	50	int	int	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	51	Diagnosed	diagnosed	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	52	STDs	STDs	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	53	Categorical	Categorical	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	54	Smokes	Smokes	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	55	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	56	yes	yes	UH
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	57	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	58	no	no	UH
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	59	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	60	bool	bool	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	61	�	�	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	62	bool	bool	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	63	STDs	std	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	64	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	65	years	year	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	66	since	since	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	67	first	first	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	68	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	69	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	70	int	int	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	71	Smokes	smoke	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	72	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	73	years	year	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	74	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	75	packs	pack	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	76	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	77	int	int	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	78	�	�	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	79	int	int	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	80	STDs	std	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	81	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	82	years	year	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	83	last	last	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	84	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	85	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	86	int	int	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	87	Hormonal	hormonal	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	88	contraceptives	contraceptive	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	89	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	90	yes	yes	UH
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	91	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	92	no	no	UH
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	93	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	94	bool	bool	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	95	Previous	previous	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	96	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	97	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	98	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	99	yes	yes	UH
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	100	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	101	no	no	UH
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	102	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	103	bool	bool	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	104	Hormonal	hormonal	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	105	contraceptives	contraceptive	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	106	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	107	years	year	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	108	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	109	int	int	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	110	Previous	previous	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	111	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	112	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	113	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	114	years	year	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	115	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	116	int	int	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	117	Intrauterine	intrauterine	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	118	device	device	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	119	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	120	IUD	IUD	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	121	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	122	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	123	yes	yes	UH
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	124	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	125	no	no	UH
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	126	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	127	bool	bool	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	128	Previous	previous	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	129	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	130	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	131	Categorical	Categorical	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	132	Note	Note	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	133	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	134	int	int	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	135	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	136	integer	integer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	137	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	138	bool	bool	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	139	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	140	boolean	boolean	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	137	141	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	138	1	Table	table	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	138	2	2	2	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	138	3	Set	set	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	138	4	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	138	5	possible	possible	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	138	6	options	option	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	138	7	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	138	8	fine	fine	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	138	9	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	138	10	tuning	tuning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	138	11	each	each	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	138	12	parameter	parameter	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	138	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	1	Parameter	parameter	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	2	Values	value	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	3	Depth	depth	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	4	{	{	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	5	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	7	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	8	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	9	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	10	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	11	6	6	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	12	}	}	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	13	Width	Width	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	14	{	{	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	15	10	10	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	16	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	17	20	20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	18	}	}	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	19	Regularization	regularization	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	20	{	{	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	21	0.01	0.01	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	22	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	23	0.1	0.1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	24	}	}	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	25	Bypass	Bypass	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	26	usage	usage	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	27	{	{	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	28	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	29	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	30	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	31	}	}	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	32	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	33	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	34	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	139	35	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	140	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	140	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	140	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	140	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	140	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	140	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	140	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	10	8/20	8/20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	11	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	13	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	14	used	use	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	15	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	16	stratified	stratified	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	17	10-fold	10-fold	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	18	cross	cross	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	19	-	-	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	20	validation	validation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	21	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	22	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	23	assessment	assessment	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	24	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	25	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	26	proposed	propose	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	27	methods	method	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	141	28	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	2	optimized	optimize	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	3	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	4	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	5	networks	network	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	6	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	7	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	8	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	9	RMSProp	rmsprop	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	10	optimization	optimization	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	11	strategy	strategy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	12	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	13	Tieleman	Tieleman	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	14	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	15	Hinton	Hinton	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	16	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	17	2012	2012	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	18	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	19	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	20	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	21	maximum	maximum	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	22	number	number	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	23	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	24	500	500	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	25	epochs	epoch	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	26	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	27	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	28	early	early	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	29	stopping	stopping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	30	after	after	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	31	100	100	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	32	iterations	iteration	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	33	without	without	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	34	improvement	improvement	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	35	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	36	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	37	batch	batch	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	38	size	size	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	39	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	40	32	32	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	142	41	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	143	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	143	2	validated	validate	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	143	3	these	these	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	143	4	parameters	parameter	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	143	5	empirically	empirically	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	143	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	143	7	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	143	8	it	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	143	9	was	be	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	143	10	enough	enough	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	143	11	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	143	12	ensure	ensure	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	143	13	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	143	14	convergence	convergence	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	143	15	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	143	16	all	all	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	143	17	cases	case	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	143	18	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	144	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	144	2	also	also	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	144	3	validated	validate	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	144	4	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	144	5	performance	performance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	144	6	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	144	7	other	other	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	144	8	optimization	optimization	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	144	9	strategies	strategy	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	144	10	such	such	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	144	11	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	144	12	Adam	Adam	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	144	13	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	144	14	stochastic	stochastic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	144	15	gradient	gradient	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	144	16	descent	descent	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	144	17	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	145	1	However	however	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	145	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	145	3	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	145	4	did	do	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	145	5	not	not	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	145	6	observe	observe	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	145	7	any	any	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	145	8	gain	gain	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	145	9	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	145	10	terms	term	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	145	11	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	145	12	predictive	predictive	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	145	13	performance	performance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	145	14	or	or	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	145	15	convergence	convergence	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	145	16	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	2	use	use	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	3	sparse	sparse	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	4	autoencoders	autoencoder	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	5	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	6	adding	add	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	7	an	an	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	8	L1	L1	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	9	penalization	penalization	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	10	term	term	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	12	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	13	ensure	ensure	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	14	that	that	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	15	each	each	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	16	unit	unit	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	17	combines	combine	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	18	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	19	small	small	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	20	subset	subset	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	21	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	22	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	23	factors	factor	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	24	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	25	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	26	would	would	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	27	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	28	done	do	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	29	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	30	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	31	human	human	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	32	expert	expert	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	146	33	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	2	fine	fine	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	3	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	4	tuned	tune	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	5	all	all	PDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	6	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	7	hyper	hyper	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	9	parameters	parameter	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	10	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	11	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	12	grid	grid	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	13	search	search	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	14	strategy	strategy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	15	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	16	nested	nest	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	17	stratified	stratify	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	18	threefold	threefold	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	19	cross	cross	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	20	-	-	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	21	validation	validation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	147	22	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	2	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	3	sense	sense	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	5	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	6	validated	validate	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	7	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	8	performance	performance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	9	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	10	each	each	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	11	network	network	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	12	configuration	configuration	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	13	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	14	three	three	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	15	training	training	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	16	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	17	validation	validation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	18	partitions	partition	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	19	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	20	choose	choose	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	21	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	22	one	one	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	23	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	24	maximizes	maximize	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	25	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	26	area	area	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	27	under	under	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	28	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	29	PR	pr	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	30	curve	curve	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	148	31	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	1	Then	then	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	3	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	4	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	5	best	good	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	6	configuration	configuration	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	7	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	8	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	9	re	re	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	10	-	-	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	11	trained	train	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	12	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	13	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	14	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	15	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	16	entire	entire	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	17	training	training	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	18	set	set	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	149	19	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	2	chose	choose	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	3	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	4	size	size	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	5	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	6	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	7	low	low	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	9	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	10	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	11	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	12	part	part	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	13	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	14	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	15	nested	nest	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	16	cross	cross	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	17	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	18	validation	validation	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	19	procedure	procedure	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	20	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	21	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	22	chose	choose	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	23	empirically	empirically	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	24	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	25	parameters	parameter	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	26	related	relate	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	27	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	28	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	29	optimization	optimization	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	30	algorithm	algorithm	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	31	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	32	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	33	are	be	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	34	strategy	strategy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	35	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	36	number	number	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	37	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	38	epochs	epoch	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	39	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	40	early	early	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	41	stopping	stopping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	42	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	150	43	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	1	To	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	2	recreate	recreate	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	3	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	4	decisions	decision	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	5	made	make	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	6	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	7	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	8	physician	physician	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	9	at	at	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	10	different	different	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	11	configurations	configuration	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	12	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	13	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	14	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	15	process	process	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	16	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	17	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	18	consider	consider	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	19	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	20	observability	observability	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	21	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	22	all	all	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	23	possible	possible	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	24	subsets	subset	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	25	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	26	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	27	outcomes	outcome	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	28	when	when	WRB
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	29	predicting	predict	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	30	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	31	biopsy	biopsy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	32	results	result	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	151	33	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	1	Thereby	thereby	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	3	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	4	cover	cover	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	5	scenarios	scenario	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	6	where	where	WRB
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	7	only	only	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	8	behavioral	behavioral	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	9	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	10	demographic	demographic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	11	information	information	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	12	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	13	observable	observable	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	14	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	15	first	first	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	16	line	line	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	17	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	18	each	each	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	19	table	table	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	20	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	21	empty	empty	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	22	subset	subset	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	23	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	24	up	up	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	25	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	26	settings	setting	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	27	where	where	WRB
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	28	cytology	cytology	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	29	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	30	colposcopy	colposcopy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	31	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	32	Hinselmann	Hinselmann	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	33	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	34	Schiller	Schiller	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	35	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	36	results	result	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	37	are	be	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	38	available	available	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	152	39	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	1	Diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	2	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	3	results	result	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	4	Our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	5	proposed	propose	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	6	architectures	architecture	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	7	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	8	embedding	embed	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	9	regularization	regularization	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	10	achieved	achieve	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	12	best	good	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	13	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	14	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	15	results	result	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	16	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	17	most	most	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	18	cases	case	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	19	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	20	Tables	tables	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	21	3	3	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	22	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	23	4	4	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	24	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	25	when	when	WRB
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	26	compared	compare	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	27	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	28	other	other	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	29	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	30	Table	table	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	31	3	3	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	32	Performance	Performance	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	33	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	34	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	35	proposed	propose	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	36	architectures	architecture	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	37	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	38	terms	term	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	39	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	40	area	area	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	41	under	under	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	42	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	43	Precision	Precision	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	44	–	–	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	45	Recall	recall	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	46	curve	curve	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	153	47	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	1	Subset	Subset	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	2	Baseline	Baseline	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	3	Semi	Semi	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	4	Sym	Sym	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	5	Zero	Zero	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	6	SVM	SVM	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	7	k	k	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	9	NN	NN	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	10	DecTree	DecTree	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	11	0.1334	0.1334	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	12	0.1424	0.1424	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	13	0.1534	0.1534	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	14	0.1744	0.1744	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	15	0.0877	0.0877	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	16	0.0345	0.0345	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	17	0.1941	0.1941	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	18	C	C	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	19	0.1998	0.1998	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	20	0.1853	0.1853	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	21	0.2115	0.2115	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	22	0.2174	0.2174	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	23	0.1550	0.1550	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	24	0.3033	0.3033	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	25	0.2560	0.2560	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	26	H	h	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	27	0.4536	0.4536	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	28	0.4459	0.4459	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	29	0.4407	0.4407	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	30	0.4625	0.4625	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	31	0.4192	0.4192	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	32	0.3885	0.3885	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	33	0.3616	0.3616	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	34	S	s	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	35	0.6416	0.6416	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	36	0.6411	0.6411	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	37	0.6335	0.6335	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	38	0.6668	0.6668	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	39	0.5905	0.5905	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	40	0.5681	0.5681	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	41	0.6242	0.6242	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	42	CH	CH	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	43	0.4752	0.4752	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	44	0.4684	0.4684	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	45	0.4754	0.4754	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	46	0.4609	0.4609	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	47	0.4423	0.4423	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	48	0.4095	0.4095	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	49	0.4023	0.4023	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	50	CS	CS	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	51	0.6265	0.6265	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	52	0.6424	0.6424	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	53	0.6388	0.6388	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	54	0.5985	0.5985	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	55	0.6205	0.6205	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	56	0.5379	0.5379	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	57	0.6089	0.6089	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	58	HS	HS	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	59	0.6200	0.6200	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	60	0.6356	0.6356	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	61	0.6277	0.6277	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	62	0.5864	0.5864	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	63	0.6199	0.6199	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	64	0.6335	0.6335	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	65	0.5956	0.5956	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	66	CHS	CHS	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	67	0.6665	0.6665	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	68	0.6351	0.6351	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	69	0.6875	0.6875	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	70	0.6404	0.6404	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	71	0.6374	0.6374	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	72	0.6653	0.6653	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	73	0.5542	0.5542	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	74	Best	good	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	75	0	0	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	76	2	2	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	77	2	2	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	78	2	2	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	79	0	0	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	80	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	81	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	82	Notes	note	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	83	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	84	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	85	subset	subset	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	86	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	87	observable	observable	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	88	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	89	strategies	strategy	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	90	include	include	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	91	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	92	Cytology	cytology	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	93	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	94	C	C	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	95	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	96	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	97	Hinselmann	Hinselmann	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	98	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	99	H	H	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	100	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	101	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	102	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	103	Schiller	Schiller	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	104	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	105	S	S	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	106	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	154	107	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	1	Baseline	Baseline	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	3	deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	4	feed	feed	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	5	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	6	forward	forward	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	7	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	8	network	network	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	9	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	10	Semi	semi	UH
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	12	semi	semi	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	13	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	14	supervised	supervised	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	15	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	16	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	17	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	18	Eq	Eq	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	155	19	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	156	1	2	2	LS
work_d6kjnyqzwjcgzjuphidi4rvpvu	156	2	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	156	3	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	156	4	Sym	Sym	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	156	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	156	6	symmetry	symmetry	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	156	7	mapping	mapping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	156	8	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	156	9	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	156	10	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	156	11	Eq	Eq	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	156	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	157	1	4	4	LS
work_d6kjnyqzwjcgzjuphidi4rvpvu	157	2	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	157	3	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	157	4	Zero	Zero	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	157	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	157	6	zero	zero	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	157	7	mapping	mapping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	157	8	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	157	9	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	157	10	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	157	11	Eq	Eq	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	157	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	1	5	5	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	2	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	3	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	4	SVM	SVM	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	6	support	support	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	7	vector	vector	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	8	machine	machine	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	9	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	10	k	k	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	11	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	12	NN	NN	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	13	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	14	k	k	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	15	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	16	nearest	near	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	17	neighbors	neighbor	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	18	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	19	DecTree	DecTree	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	20	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	21	decision	decision	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	22	tree	tree	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	158	23	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	159	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	159	2	highlight	highlight	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	159	3	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	159	4	best	good	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	159	5	performing	performing	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	159	6	models	model	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	159	7	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	159	8	bold	bold	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	159	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	160	1	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	160	2	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	160	3	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	160	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	161	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	161	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	161	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	161	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	161	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	161	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	161	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	162	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	162	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	162	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	162	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	162	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	162	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	162	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	162	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	162	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	162	10	9/20	9/20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	162	11	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	162	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	POS
work_d6kjnyqzwjcgzjuphidi4rvpvu	162	13	network	network	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	162	14	approaches	approach	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	162	15	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	163	1	Furthermore	furthermore	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	163	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	163	3	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	163	4	fully	fully	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	163	5	supervised	supervise	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	163	6	embeddings	embedding	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	163	7	improved	improve	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	163	8	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	163	9	performance	performance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	163	10	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	163	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	163	12	semi	semi	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	163	13	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	163	14	supervised	supervised	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	163	15	approach	approach	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	163	16	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	163	17	Eq	Eq	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	163	18	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	164	1	2	2	LS
work_d6kjnyqzwjcgzjuphidi4rvpvu	164	2	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	164	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	164	4	through	through	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	164	5	both	both	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	164	6	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	164	7	strategies	strategy	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	164	8	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	164	9	symmetric	symmetric	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	164	10	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	164	11	zero	zero	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	164	12	mapping	mapping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	164	13	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	164	14	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	2	relative	relative	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	3	gains	gain	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	4	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	5	terms	term	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	6	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	7	area	area	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	8	under	under	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	9	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	10	PR	pr	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	11	curve	curve	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	12	depend	depend	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	13	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	14	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	15	subset	subset	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	16	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	17	observable	observable	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	18	modalities	modality	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	19	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	20	ranging	range	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	21	from	from	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	22	30.7	30.7	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	23	%	%	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	24	when	when	WRB
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	25	only	only	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	26	medical	medical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	27	records	record	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	28	are	be	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	29	observed	observe	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	30	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	31	3.3	3.3	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	32	%	%	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	33	when	when	WRB
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	34	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	35	outcome	outcome	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	36	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	37	all	all	PDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	38	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	39	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	40	procedures	procedure	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	41	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	42	known	know	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	165	43	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	1	Using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	2	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	3	paired	pair	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	4	difference	difference	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	5	Student	student	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	6	’s	’s	POS
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	7	t	t	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	9	test	test	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	10	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	11	Menke	Menke	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	12	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	13	Martinez	Martinez	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	14	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	15	2004	2004	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	16	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	17	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	18	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	19	95	95	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	20	%	%	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	21	confidence	confidence	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	22	level	level	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	23	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	24	zero	zero	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	25	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	26	mapping	map	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	27	methodology	methodology	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	28	achieved	achieve	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	29	better	well	JJR
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	30	results	result	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	31	than	than	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	32	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	33	baseline	baseline	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	34	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	35	semi	semi	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	36	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	37	supervised	supervised	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	38	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	39	schemes	scheme	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	166	40	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	167	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	167	2	found	find	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	167	3	no	no	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	167	4	statistical	statistical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	167	5	differences	difference	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	167	6	between	between	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	167	7	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	167	8	symmetry	symmetry	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	167	9	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	167	10	zero	zero	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	167	11	mappings	mapping	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	167	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	2	validated	validate	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	3	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	4	performance	performance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	5	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	6	traditional	traditional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	7	machine	machine	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	8	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	9	models	model	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	10	such	such	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	11	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	12	support	support	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	13	vector	vector	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	14	machines	machine	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	15	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	16	SVM	SVM	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	17	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	18	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	19	radial	radial	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	20	basis	basis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	21	function	function	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	22	kernel	kernel	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	23	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	24	Scholkopf	Scholkopf	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	25	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	26	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	27	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	28	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	29	1997	1997	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	30	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	31	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	32	k	k	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	33	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	34	nearest	near	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	35	neighbors	neighbor	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	36	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	37	Peterson	Peterson	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	38	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	39	2009	2009	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	40	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	41	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	42	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	43	decision	decision	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	44	trees	tree	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	45	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	46	Quinlan	Quinlan	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	47	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	48	1986	1986	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	49	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	168	50	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	2	general	general	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	4	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	5	proposed	propose	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	6	models	model	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	7	surpassed	surpass	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	8	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	9	performance	performance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	10	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	12	classical	classical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	13	methodologies	methodology	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	14	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	15	terms	term	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	16	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	17	area	area	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	18	under	under	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	19	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	20	PR	pr	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	21	curve	curve	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	169	22	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	2	SVM	SVM	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	3	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	4	achieved	achieve	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	5	better	well	JJR
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	6	logarithmic	logarithmic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	7	loss	loss	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	8	given	give	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	9	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	10	post	post	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	11	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	12	processing	processing	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	13	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	14	its	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	15	scores	score	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	16	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	17	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	18	Logistic	Logistic	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	19	Regression	Regression	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	20	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	21	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	22	directly	directly	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	23	optimize	optimize	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	24	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	25	metric	metric	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	170	26	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	171	1	Further	further	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	171	2	improvements	improvement	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	171	3	could	could	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	171	4	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	171	5	observed	observe	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	171	6	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	171	7	post	post	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	171	8	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	171	9	processing	process	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	171	10	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	171	11	outcome	outcome	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	171	12	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	171	13	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	171	14	other	other	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	171	15	strategies	strategy	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	171	16	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	2	gains	gain	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	3	achieved	achieve	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	4	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	6	mapping	mapping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	7	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	8	based	base	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	9	supervised	supervise	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	10	embeddings	embedding	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	11	happen	happen	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	12	because	because	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	13	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	14	proposed	propose	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	15	fully	fully	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	16	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	17	supervised	supervise	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	18	strategies	strategy	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	19	aim	aim	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	20	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	21	reduce	reduce	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	22	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	23	overlap	overlap	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	24	between	between	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	25	observations	observation	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	26	from	from	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	27	both	both	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	28	classes	class	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	172	29	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	2	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	3	past	past	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	5	researchers	researcher	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	6	showed	show	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	7	that	that	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	8	class	class	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	9	overlap	overlap	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	10	has	have	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	11	higher	high	JJR
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	12	correlation	correlation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	13	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	14	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	15	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	16	performance	performance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	17	than	than	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	18	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	19	imbalance	imbalance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	20	ratio	ratio	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	21	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	22	highly	highly	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	23	unbalanced	unbalanced	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	24	datasets	dataset	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	25	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	26	Cruz	Cruz	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	27	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	28	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	29	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	30	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	31	2016	2016	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	32	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	173	33	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	2	visualization	visualization	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	3	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	4	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	5	embeddings	embedding	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	6	through	through	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	7	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	8	t	t	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	9	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	10	distributed	distribute	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	11	stochastic	stochastic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	12	neighbor	neighbor	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	13	embedding	embed	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	14	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	15	t	t	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	16	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	17	SNE	SNE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	18	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	19	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	20	Van	Van	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	21	Der	Der	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	22	Maaten	Maaten	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	23	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	24	Hinton	Hinton	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	25	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	26	2008	2008	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	27	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	28	confirms	confirm	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	29	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	30	aspect	aspect	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	31	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	32	because	because	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	33	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	34	t	t	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	35	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	36	SNE	SNE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	37	fully	fully	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	38	supervised	supervise	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	39	embeddings	embedding	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	40	achieve	achieve	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	41	better	well	JJR
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	42	separability	separability	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	43	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	44	fewer	few	JJR
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	45	overlapping	overlapping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	46	clusters	cluster	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	47	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	48	Figs	fig	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	174	49	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	175	1	3–6	3–6	LS
work_d6kjnyqzwjcgzjuphidi4rvpvu	175	2	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	175	3	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	176	1	Table	table	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	176	2	4	4	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	176	3	Performance	Performance	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	176	4	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	176	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	176	6	proposed	propose	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	176	7	architectures	architecture	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	176	8	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	176	9	terms	term	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	176	10	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	176	11	logarithmic	logarithmic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	176	12	loss	loss	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	176	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	1	Subset	Subset	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	2	Baseline	Baseline	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	3	Semi	Semi	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	4	Sym	Sym	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	5	Zero	Zero	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	6	SVM	SVM	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	7	k	k	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	9	NN	NN	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	10	DecTree	DecTree	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	11	0.3004	0.3004	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	12	0.2708	0.2708	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	13	0.2657	0.2657	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	14	0.2716	0.2716	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	15	0.2421	0.2421	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	16	4.3670	4.3670	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	17	4.1889	4.1889	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	18	C	c	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	19	0.2829	0.2829	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	20	0.2757	0.2757	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	21	0.2868	0.2868	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	22	0.2609	0.2609	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	23	0.2614	0.2614	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	24	2.6884	2.6884	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	25	3.5001	3.5001	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	26	H	h	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	27	0.2169	0.2169	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	28	0.2274	0.2274	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	29	0.2422	0.2422	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	30	0.2031	0.2031	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	31	0.1984	0.1984	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	32	0.7178	0.7178	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	33	3.2175	3.2175	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	34	S	S	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	35	0.1710	0.1710	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	36	0.1475	0.1475	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	37	0.1489	0.1489	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	38	0.1359	0.1359	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	39	0.1273	0.1273	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	40	0.9366	0.9366	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	41	1.6893	1.6893	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	42	CH	CH	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	43	0.2210	0.2210	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	44	0.2054	0.2054	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	45	0.2286	0.2286	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	46	0.2123	0.2123	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	47	0.2196	0.2196	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	48	1.0477	1.0477	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	49	2.8509	2.8509	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	50	CS	CS	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	51	0.1594	0.1594	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	52	0.1469	0.1469	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	53	0.1240	0.1240	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	54	0.1464	0.1464	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	55	0.1248	0.1248	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	56	0.4036	0.4036	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	57	1.7687	1.7687	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	58	HS	HS	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	59	0.1632	0.1632	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	60	0.1786	0.1786	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	61	0.1615	0.1615	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	62	0.1622	0.1622	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	63	0.1225	0.1225	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	64	0.3238	0.3238	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	65	1.8098	1.8098	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	66	CHS	CHS	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	67	0.1563	0.1563	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	68	0.1577	0.1577	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	69	0.1494	0.1494	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	70	0.1514	0.1514	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	71	0.1099	0.1099	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	72	0.4037	0.4037	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	73	1.8906	1.8906	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	74	Best	good	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	75	0	0	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	76	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	77	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	78	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	79	4	4	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	80	0	0	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	81	0	0	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	82	Notes	note	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	83	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	84	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	85	subset	subset	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	86	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	87	observable	observable	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	88	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	89	strategies	strategy	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	90	include	include	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	91	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	92	Cytology	cytology	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	93	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	94	C	C	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	95	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	96	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	97	Hinselmann	Hinselmann	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	98	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	99	H	H	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	100	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	101	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	102	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	103	Schiller	Schiller	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	104	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	105	S	S	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	106	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	177	107	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	178	1	Area	area	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	178	2	under	under	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	178	3	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	178	4	Precision	Precision	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	178	5	–	–	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	178	6	Recall	recall	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	178	7	curve	curve	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	178	8	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	1	Baseline	Baseline	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	3	deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	4	feed	feed	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	5	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	6	forward	forward	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	7	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	8	network	network	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	9	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	10	Semi	semi	UH
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	12	semi	semi	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	13	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	14	supervised	supervised	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	15	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	16	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	17	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	18	Eq	Eq	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	179	19	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	180	1	2	2	LS
work_d6kjnyqzwjcgzjuphidi4rvpvu	180	2	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	180	3	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	180	4	Sym	Sym	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	180	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	180	6	symmetry	symmetry	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	180	7	mapping	mapping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	180	8	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	180	9	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	180	10	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	180	11	Eq	Eq	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	180	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	181	1	4	4	LS
work_d6kjnyqzwjcgzjuphidi4rvpvu	181	2	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	181	3	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	181	4	Zero	Zero	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	181	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	181	6	zero	zero	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	181	7	mapping	mapping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	181	8	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	181	9	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	181	10	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	181	11	Eq	Eq	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	181	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	1	5	5	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	2	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	3	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	4	SVM	SVM	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	6	support	support	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	7	vector	vector	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	8	machine	machine	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	9	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	10	k	k	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	11	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	12	NN	NN	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	13	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	14	k	k	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	15	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	16	nearest	near	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	17	neighbors	neighbor	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	18	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	19	DecTree	DecTree	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	20	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	21	decision	decision	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	22	tree	tree	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	182	23	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	183	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	183	2	highlight	highlight	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	183	3	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	183	4	best	good	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	183	5	performing	performing	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	183	6	models	model	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	183	7	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	183	8	bold	bold	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	183	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	184	1	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	184	2	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	184	3	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	184	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	185	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	185	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	185	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	185	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	185	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	185	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	185	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	10	10/20	10/20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	11	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	13	Figure	Figure	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	14	3	3	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	15	Two	two	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	16	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	17	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	18	projection	projection	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	19	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	20	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	21	unsupervised	unsupervised	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	22	embedding	embedding	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	23	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	24	t	t	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	25	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	26	distributed	distribute	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	27	stochastic	stochastic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	28	neighbor	neighbor	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	29	embedding	embed	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	30	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	31	t	t	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	32	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	33	SNE	SNE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	34	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	35	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	36	Van	Van	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	37	Der	Der	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	38	Maaten	Maaten	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	39	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	40	Hinton	Hinton	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	41	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	42	2008	2008	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	43	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	186	44	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	1	Full	full	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	2	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	3	size	size	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	4	DOI	doi	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	5	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	6	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	7	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	8	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	9	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	10	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	11	/	/	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	12	fig-3	fig-3	UH
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	13	Figure	figure	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	14	4	4	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	15	Two	two	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	16	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	17	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	18	projection	projection	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	19	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	20	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	21	semi	semi	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	22	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	23	supervised	supervised	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	24	embedding	embedding	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	25	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	26	t	t	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	27	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	28	distributed	distribute	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	29	stochastic	stochastic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	30	neighbor	neighbor	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	31	embedding	embed	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	32	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	33	t	t	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	34	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	35	SNE	SNE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	36	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	37	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	38	Van	Van	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	39	Der	Der	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	40	Maaten	Maaten	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	41	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	42	Hinton	Hinton	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	43	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	44	2008	2008	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	45	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	187	46	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	188	1	Full	full	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	188	2	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	188	3	size	size	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	188	4	DOI	doi	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	188	5	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	188	6	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	188	7	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	188	8	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	188	9	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	188	10	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	188	11	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	188	12	fig-4	fig-4	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	188	13	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	188	14	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	188	15	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	188	16	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	189	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	189	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	189	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	189	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	189	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	189	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	189	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	10	11/20	11/20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	11	http://dx.doi.org/10.7717/peerj-cs.154/fig-3	http://dx.doi.org/10.7717/peerj-cs.154/fig-3	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	12	http://dx.doi.org/10.7717/peerj-cs.154/fig-4	http://dx.doi.org/10.7717/peerj-cs.154/fig-4	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	13	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	14	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	15	Figure	figure	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	16	5	5	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	17	Two	two	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	18	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	19	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	20	projection	projection	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	21	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	22	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	23	semi	semi	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	24	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	25	supervised	supervised	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	26	embedding	embedding	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	27	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	28	symmetry	symmetry	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	29	mapping	mapping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	30	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	31	t	t	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	32	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	33	distributed	distribute	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	34	stochastic	stochastic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	35	neighbor	neighbor	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	36	embedding	embed	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	37	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	38	t	t	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	39	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	40	SNE	SNE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	41	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	42	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	43	Van	Van	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	44	Der	Der	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	45	Maaten	Maaten	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	46	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	47	Hinton	Hinton	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	48	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	49	2008	2008	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	50	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	190	51	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	1	Full	full	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	2	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	3	size	size	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	4	DOI	doi	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	5	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	6	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	7	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	8	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	9	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	10	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	11	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	12	fig-5	fig-5	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	13	Figure	Figure	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	14	6	6	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	15	Two	two	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	16	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	17	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	18	projection	projection	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	19	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	20	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	21	supervised	supervised	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	22	embedding	embed	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	23	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	24	zero	zero	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	25	mapping	mapping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	26	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	27	t	t	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	28	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	29	distributed	distribute	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	30	stochastic	stochastic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	31	neighbor	neighbor	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	32	embedding	embed	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	33	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	34	t	t	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	35	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	36	SNE	SNE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	37	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	38	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	39	Van	Van	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	40	Der	Der	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	41	Maaten	Maaten	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	42	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	43	Hinton	Hinton	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	44	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	45	2008	2008	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	46	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	191	47	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	192	1	Full	full	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	192	2	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	192	3	size	size	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	192	4	DOI	doi	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	192	5	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	192	6	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	192	7	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	192	8	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	192	9	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	192	10	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	192	11	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	192	12	fig-6	fig-6	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	192	13	Fernandes	Fernandes	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	192	14	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	192	15	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	192	16	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	193	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	193	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	193	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	193	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	193	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	193	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	193	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	10	12/20	12/20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	11	http://dx.doi.org/10.7717/peerj-cs.154/fig-5	http://dx.doi.org/10.7717/peerj-cs.154/fig-5	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	12	http://dx.doi.org/10.7717/peerj-cs.154/fig-6	http://dx.doi.org/10.7717/peerj-cs.154/fig-6	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	13	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	14	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	15	For	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	16	visualization	visualization	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	17	purposes	purpose	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	18	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	19	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	20	are	be	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	21	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	22	t	t	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	23	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	24	SNE	SNE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	25	based	base	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	26	upon	upon	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	27	neighborhood	neighborhood	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	28	similarities	similarity	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	29	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	30	since	since	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	31	learning	learn	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	32	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	33	valuable	valuable	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	34	representation	representation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	35	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	36	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	37	two	two	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	38	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	39	dimensional	dimensional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	40	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	41	raises	raise	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	42	difficulties	difficulty	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	194	43	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	1	Moreover	moreover	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	3	because	because	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	4	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	6	high	high	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	7	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	8	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	9	our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	10	embeddings	embedding	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	12	their	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	13	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	14	capabilities	capability	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	15	rely	rely	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	16	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	17	their	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	18	sparsity	sparsity	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	195	19	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	1	Results	result	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	2	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	3	other	other	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	4	applications	application	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	5	To	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	6	observe	observe	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	7	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	8	impact	impact	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	9	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	10	our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	11	method	method	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	13	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	14	validated	validate	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	15	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	16	performance	performance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	17	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	18	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	19	aforementioned	aforementioned	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	20	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	21	architectures	architecture	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	22	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	23	several	several	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	24	biomedical	biomedical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	25	datasets	dataset	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	26	available	available	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	27	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	28	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	29	UC	UC	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	30	Irvine	Irvine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	31	Machine	Machine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	32	Learning	Learning	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	33	Repository	Repository	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	196	34	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	197	1	Thus	thus	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	197	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	197	3	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	197	4	assessed	assess	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	197	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	197	6	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	197	7	’s	’s	POS
work_d6kjnyqzwjcgzjuphidi4rvpvu	197	8	performance	performance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	197	9	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	197	10	nine	nine	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	197	11	datasets	dataset	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	197	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	2	machine	machine	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	3	learning	learn	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	4	models	model	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	5	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	6	proposed	propose	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	7	achieved	achieve	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	8	high	high	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	9	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	10	results	result	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	12	being	be	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	13	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	14	zero	zero	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	15	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	16	mapping	mapping	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	17	approach	approach	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	18	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	19	best	good	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	20	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	21	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	22	most	most	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	23	cases	case	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	24	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	25	Tables	Tables	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	26	5	5	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	27	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	28	6	6	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	29	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	198	30	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	1	Table	table	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	2	5	5	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	3	Performance	performance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	4	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	6	proposed	propose	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	7	architectures	architecture	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	8	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	9	other	other	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	10	datasets	dataset	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	11	downloaded	download	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	12	from	from	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	13	UC	UC	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	14	Irvine	Irvine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	15	Machine	Machine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	16	Learning	Learning	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	17	Repository	Repository	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	18	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	19	University	University	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	20	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	21	California	California	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	22	Irvine	Irvine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	23	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	24	1987	1987	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	25	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	26	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	27	measured	measure	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	28	through	through	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	29	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	30	area	area	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	31	under	under	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	32	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	33	Precision	Precision	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	34	–	–	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	35	Recall	recall	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	36	curve	curve	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	199	37	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	1	Dataset	Dataset	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	2	Baseline	Baseline	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	3	Semi	Semi	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	4	Sym	Sym	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	5	Zero	Zero	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	6	Breast	Breast	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	7	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	8	Mangasarian	Mangasarian	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	10	Street	Street	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	11	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	12	Wolberg	Wolberg	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	13	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	14	1995	1995	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	15	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	16	0.9795	0.9795	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	17	0.9864	0.9864	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	18	0.9835	0.9835	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	19	0.9856	0.9856	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	20	Mammography	Mammography	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	21	Elter	Elter	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	22	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	23	Schulz	Schulz	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	24	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	25	Wendtland	Wendtland	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	26	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	27	Wittenberg	Wittenberg	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	28	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	29	2007	2007	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	30	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	31	0.8551	0.8551	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	32	0.8539	0.8539	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	33	0.8533	0.8533	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	34	0.8489	0.8489	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	35	Parkinson	Parkinson	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	36	Little	Little	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	37	et	et	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	38	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	200	39	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	201	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	201	2	2007	2007	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	201	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	201	4	0.9517	0.9517	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	201	5	0.9526	0.9526	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	201	6	0.9573	0.9573	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	201	7	0.9604	0.9604	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	201	8	Pima	Pima	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	201	9	diabetes	diabetes	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	201	10	Smith	Smith	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	201	11	et	et	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	201	12	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	201	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	2	1988	1988	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	4	0.7328	0.7328	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	5	0.7262	0.7262	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	6	0.7095	0.7095	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	7	0.7331	0.7331	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	8	Lung	Lung	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	9	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	10	Hong	Hong	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	11	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	12	Yang	Yang	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	13	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	14	1991	1991	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	15	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	16	0.7083	0.7083	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	17	0.6042	0.6042	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	18	0.6927	0.6927	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	19	0.8021	0.8021	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	20	Cardiotocography	Cardiotocography	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	21	Ayres	Ayres	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	22	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	23	de	de	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	24	Campos	Campos	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	25	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	26	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	202	27	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	203	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	203	2	2000	2000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	203	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	203	4	0.9948	0.9948	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	203	5	0.9948	0.9948	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	203	6	0.9925	0.9925	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	203	7	0.9958	0.9958	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	203	8	SPECTF	spectf	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	203	9	heart	heart	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	203	10	Kurgan	Kurgan	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	203	11	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	203	12	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	203	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	204	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	204	2	2001	2001	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	204	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	204	4	0.9470	0.9470	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	204	5	0.9492	0.9492	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	204	6	0.9462	0.9462	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	204	7	0.9463	0.9463	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	204	8	Arcene	Arcene	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	204	9	Guyon	Guyon	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	204	10	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	204	11	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	204	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	2	2005	2005	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	4	0.8108	0.8108	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	5	0.8433	0.8433	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	6	0.8900	0.8900	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	7	0.8455	0.8455	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	8	Colposcopy	Colposcopy	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	9	QA	QA	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	10	Fernandes	Fernandes	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	12	Cardoso	Cardoso	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	13	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	14	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	15	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	16	2017b	2017b	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	17	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	18	0.7760	0.7760	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	19	0.8122	0.8122	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	20	0.7961	0.7961	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	21	0.8470	0.8470	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	22	Best	good	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	23	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	24	2	2	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	25	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	26	5	5	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	27	Note	note	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	28	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	29	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	30	highlight	highlight	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	31	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	32	best	good	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	33	performing	performing	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	34	models	model	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	35	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	36	bold	bold	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	205	37	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	1	Table	table	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	2	6	6	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	3	Performance	Performance	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	4	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	6	proposed	propose	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	7	architectures	architecture	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	8	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	9	other	other	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	10	datasets	dataset	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	11	downloaded	download	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	12	from	from	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	13	UC	UC	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	14	Irvine	Irvine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	15	Machine	Machine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	16	Learning	Learning	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	17	Repository	Repository	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	18	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	19	University	University	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	20	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	21	California	California	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	22	Irvine	Irvine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	23	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	24	1987	1987	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	25	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	26	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	27	measured	measure	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	28	through	through	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	29	logarithmic	logarithmic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	30	loss	loss	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	206	31	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	1	Dataset	Dataset	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	2	Baseline	Baseline	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	3	Semi	Semi	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	4	Sym	Sym	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	5	Zero	Zero	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	6	Breast	Breast	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	7	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	8	Mangasarian	Mangasarian	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	10	Street	Street	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	11	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	12	Wolberg	Wolberg	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	13	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	14	1995	1995	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	15	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	16	0.0984	0.0984	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	17	0.0888	0.0888	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	18	0.0966	0.0966	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	19	0.0930	0.0930	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	20	Mammographic	Mammographic	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	21	Elter	Elter	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	22	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	23	Schulz	Schulz	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	24	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	25	Wendtland	Wendtland	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	26	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	27	Wittenberg	Wittenberg	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	28	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	29	2007	2007	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	30	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	31	0.5122	0.5122	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	32	0.5051	0.5051	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	33	0.4973	0.4973	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	34	0.4822	0.4822	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	35	Parkinson	Parkinson	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	36	Little	Little	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	37	et	et	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	38	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	207	39	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	208	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	208	2	2007	2007	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	208	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	208	4	0.3945	0.3945	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	208	5	0.4042	0.4042	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	208	6	0.3883	0.3883	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	208	7	0.4323	0.4323	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	208	8	Pima	Pima	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	208	9	diabetes	diabetes	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	208	10	Smith	Smith	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	208	11	et	et	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	208	12	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	208	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	2	1988	1988	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	4	0.5269	0.5269	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	5	0.5229	0.5229	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	6	0.5250	0.5250	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	7	0.5472	0.5472	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	8	Lung	Lung	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	9	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	10	Hong	Hong	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	11	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	12	Yang	Yang	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	13	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	14	1991	1991	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	15	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	16	1.1083	1.1083	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	17	0.8017	0.8017	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	18	0.6050	0.6050	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	19	0.8328	0.8328	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	20	Cardiotocography	Cardiotocography	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	21	Ayres	Ayres	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	22	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	23	de	de	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	24	Campos	Campos	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	25	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	26	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	209	27	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	210	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	210	2	2000	2000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	210	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	210	4	0.0113	0.0113	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	210	5	0.0118	0.0118	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	210	6	0.0116	0.0116	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	210	7	0.0110	0.0110	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	210	8	SPECTF	spectf	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	210	9	heart	heart	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	210	10	Kurgan	Kurgan	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	210	11	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	210	12	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	210	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	211	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	211	2	2001	2001	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	211	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	211	4	0.4107	0.4107	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	211	5	0.4205	0.4205	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	211	6	0.4121	0.4121	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	211	7	0.4196	0.4196	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	211	8	Arcene	Arcene	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	211	9	Guyon	Guyon	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	211	10	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	211	11	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	211	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	2	2005	2005	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	4	1.3516	1.3516	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	5	0.8855	0.8855	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	6	1.0230	1.0230	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	7	1.1518	1.1518	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	8	Colposcopy	Colposcopy	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	9	QA	QA	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	10	Fernandes	fernande	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	12	Cardoso	Cardoso	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	13	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	14	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	15	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	16	2017b	2017b	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	17	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	18	0.5429	0.5429	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	19	0.5406	0.5406	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	20	0.5195	0.5195	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	21	0.4850	0.4850	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	22	Best	good	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	23	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	24	3	3	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	25	2	2	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	26	3	3	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	27	Note	note	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	28	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	29	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	30	highlight	highlight	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	31	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	32	best	good	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	33	performing	performing	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	34	models	model	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	35	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	36	bold	bold	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	212	37	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	213	1	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	213	2	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	213	3	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	213	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	214	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	214	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	214	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	214	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	214	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	214	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	214	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	10	13/20	13/20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	11	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	13	This	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	14	outcome	outcome	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	15	suggests	suggest	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	16	that	that	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	17	mapping	map	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	18	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	19	majority	majority	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	20	class	class	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	21	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	22	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	23	unique	unique	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	24	point	point	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	25	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	26	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	27	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	28	might	may	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	29	improve	improve	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	30	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	31	learning	learn	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	32	effectiveness	effectiveness	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	33	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	34	unbalanced	unbalanced	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	35	settings	setting	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	215	36	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	1	This	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	2	idea	idea	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	3	draws	draw	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	4	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	5	link	link	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	6	between	between	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	7	binary	binary	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	8	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	9	one	one	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	10	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	11	class	class	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	12	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	13	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	14	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	15	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	16	plan	plan	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	17	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	18	explore	explore	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	19	it	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	20	more	more	RBR
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	21	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	22	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	23	future	future	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	216	24	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	1	DISCUSSION	DISCUSSION	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	2	As	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	3	shown	show	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	4	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	6	Results	Results	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	7	section	section	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	8	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	9	our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	10	deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	11	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	12	algorithm	algorithm	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	13	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	14	predict	predict	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	15	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	16	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	17	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	18	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	19	high	high	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	20	accuracy	accuracy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	217	21	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	1	To	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	2	further	further	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	3	understand	understand	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	4	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	5	clinical	clinical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	6	interpretability	interpretability	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	7	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	8	our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	9	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	10	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	12	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	13	investigated	investigate	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	14	which	which	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	15	dataset	dataset	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	16	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	17	features	feature	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	18	have	have	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	19	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	20	highest	high	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	21	impact	impact	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	22	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	23	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	24	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	25	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	26	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	27	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	28	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	29	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	218	30	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	219	1	Figure	figure	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	219	2	7	7	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	219	3	Agglomerative	agglomerative	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	219	4	clustering	clustering	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	219	5	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	219	6	features	feature	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	219	7	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	219	8	impact	impact	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	219	9	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	219	10	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	219	11	embedding	embedding	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	219	12	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	219	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	220	1	Full	full	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	220	2	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	220	3	size	size	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	220	4	DOI	doi	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	220	5	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	220	6	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	220	7	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	220	8	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	220	9	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	220	10	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	220	11	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	220	12	fig-7	fig-7	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	220	13	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	220	14	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	220	15	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	220	16	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	221	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	221	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	221	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	221	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	221	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	221	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	221	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	10	14/20	14/20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	11	http://dx.doi.org/10.7717/peerj-cs.154/fig-7	http://dx.doi.org/10.7717/peerj-cs.154/fig-7	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	12	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	13	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	14	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	15	fact	fact	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	16	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	17	pre	pre	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	18	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	19	invasive	invasive	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	20	intra	intra	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	21	-	-	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	22	epithelial	epithelial	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	23	lesions	lesion	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	24	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	25	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	26	cervix	cervix	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	27	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	28	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	29	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	30	relate	relate	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	31	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	32	HPV	HPV	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	33	infection	infection	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	34	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	35	oncological	oncological	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	36	serotypes	serotype	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	37	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	38	progress	progress	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	39	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	40	oncological	oncological	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	41	lesions	lesion	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	42	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	43	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	44	multiple	multiple	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	45	factors	factor	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	46	contribute	contribute	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	47	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	48	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	49	progress	progress	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	50	without	without	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	51	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	52	definite	definite	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	53	cause	cause	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	54	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	55	dependent	dependent	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	56	relation	relation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	222	57	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	2	patterns	pattern	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	3	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	4	have	have	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	5	highest	high	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	6	acceptance	acceptance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	7	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	8	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	9	literature	literature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	10	regard	regard	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	11	presence	presence	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	12	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	13	human	human	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	14	immunodeficiency	immunodeficiency	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	15	virus	virus	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	16	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	17	smoking	smoking	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	18	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	19	followed	follow	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	20	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	21	sexual	sexual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	22	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	23	behaviors	behavior	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	24	such	such	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	25	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	26	early	early	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	27	sexual	sexual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	28	initiation	initiation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	29	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	30	promiscuity	promiscuity	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	31	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	32	multiple	multiple	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	33	pregnancies	pregnancy	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	34	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	35	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	36	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	37	history	history	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	38	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	39	sexually	sexually	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	40	transmitted	transmit	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	41	infections	infection	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	223	42	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	224	1	Another	another	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	224	2	factor	factor	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	224	3	involved	involve	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	224	4	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	224	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	224	6	use	use	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	224	7	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	224	8	oral	oral	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	224	9	contraceptives	contraceptive	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	224	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	1	From	from	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	2	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	3	technical	technical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	4	point	point	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	5	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	6	view	view	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	7	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	8	while	while	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	9	black	black	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	10	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	11	box	box	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	12	machine	machine	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	13	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	14	techniques	technique	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	15	have	have	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	16	achieved	achieve	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	17	state	state	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	18	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	19	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	20	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	21	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	22	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	23	art	art	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	24	results	result	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	25	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	26	several	several	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	27	applications	application	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	28	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	29	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	30	lack	lack	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	31	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	32	interpretability	interpretability	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	33	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	34	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	35	induced	induce	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	36	models	model	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	37	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	38	limit	limit	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	39	their	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	40	general	general	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	41	acceptance	acceptance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	42	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	43	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	44	medical	medical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	45	community	community	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	225	46	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	1	Thus	thus	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	3	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	4	tried	try	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	5	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	6	understand	understand	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	7	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	8	relationships	relationship	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	9	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	10	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	11	our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	12	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	13	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	14	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	15	corroborate	corroborate	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	16	if	if	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	17	they	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	18	are	be	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	19	supported	support	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	20	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	21	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	22	medical	medical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	23	literature	literature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	226	24	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	2	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	3	context	context	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	5	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	6	studied	study	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	7	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	8	impact	impact	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	9	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	10	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	11	original	original	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	12	features	feature	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	13	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	14	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	15	embedding	embed	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	16	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	17	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	18	find	find	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	19	correlations	correlation	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	20	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	21	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	22	decision	decision	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	23	process	process	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	227	24	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	1	To	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	2	determine	determine	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	3	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	4	impact	impact	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	6	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	7	perturbed	perturb	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	8	each	each	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	9	feature	feature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	10	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	11	all	all	PDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	12	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	13	other	other	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	14	values	value	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	15	from	from	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	16	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	17	feature	feature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	18	’s	’s	POS
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	19	domain	domain	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	20	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	21	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	22	then	then	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	23	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	24	computed	compute	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	25	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	26	maximum	maximum	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	27	impact	impact	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	28	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	29	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	30	features	feature	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	31	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	32	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	33	embedded	embed	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	34	space	space	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	228	35	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	1	Finally	finally	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	3	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	4	applied	apply	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	5	an	an	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	6	agglomerative	agglomerative	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	7	clustering	cluster	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	8	technique	technique	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	9	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	10	aggregate	aggregate	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	11	features	feature	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	12	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	13	similar	similar	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	14	impact	impact	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	15	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	16	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	17	embedding	embedding	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	18	features	feature	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	229	19	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	230	1	From	from	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	230	2	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	230	3	medical	medical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	230	4	point	point	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	230	5	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	230	6	view	view	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	230	7	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	230	8	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	230	9	validated	validate	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	230	10	several	several	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	230	11	properties	property	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	230	12	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	230	13	interest	interest	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	230	14	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	230	15	Fig	fig	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	230	16	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	231	1	7	7	LS
work_d6kjnyqzwjcgzjuphidi4rvpvu	231	2	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	231	3	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	1	For	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	2	instance	instance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	4	risky	risky	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	5	sexual	sexual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	6	patterns	pattern	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	7	such	such	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	8	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	9	an	an	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	10	early	early	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	11	sexual	sexual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	12	initiation	initiation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	13	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	14	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	15	presence	presence	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	16	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	17	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	18	lifespan	lifespan	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	19	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	20	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	21	STDs	STDs	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	22	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	23	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	24	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	25	special	special	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	26	focus	focus	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	27	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	28	HPV	HPV	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	29	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	30	have	have	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	31	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	32	most	most	RBS
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	33	similar	similar	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	34	impact	impact	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	35	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	36	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	37	predictive	predictive	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	38	outcome	outcome	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	39	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	40	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	41	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	232	42	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	1	Also	also	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	3	smoking	smoking	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	4	habits	habit	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	5	are	be	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	6	associated	associate	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	7	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	8	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	9	model	model	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	10	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	11	having	have	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	12	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	13	similar	similar	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	14	effect	effect	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	15	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	16	these	these	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	17	sexual	sexual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	18	patterns	pattern	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	233	19	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	1	These	these	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	2	relationships	relationship	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	3	were	be	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	4	already	already	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	5	studied	study	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	6	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	7	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	8	medical	medical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	9	literature	literature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	10	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	11	Louie	Louie	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	12	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	13	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	14	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	15	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	16	2009	2009	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	17	;	;	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	18	Deacon	Deacon	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	19	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	20	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	21	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	22	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	23	2000	2000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	24	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	234	25	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	2	similarity	similarity	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	3	between	between	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	4	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	5	use	use	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	6	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	7	hormonal	hormonal	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	8	contraceptives	contraceptive	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	9	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	10	condylomatosis	condylomatosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	11	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	12	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	13	use	use	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	14	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	15	intrauterine	intrauterine	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	16	devices	device	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	17	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	18	STDs	STDs	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	19	shows	show	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	20	another	another	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	21	interesting	interesting	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	22	pattern	pattern	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	23	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	24	has	have	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	25	not	not	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	26	been	be	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	27	quantified	quantify	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	28	yet	yet	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	29	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	30	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	31	best	good	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	32	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	33	our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	34	knowledge	knowledge	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	235	35	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	236	1	These	these	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	236	2	patterns	pattern	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	236	3	might	may	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	236	4	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	236	5	evidence	evidence	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	236	6	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	236	7	sexual	sexual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	236	8	patterns	pattern	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	236	9	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	236	10	high	high	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	236	11	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	236	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	1	CONCLUSION	CONCLUSION	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	2	Cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	3	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	4	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	5	still	still	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	6	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	7	widespread	widespread	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	8	disease	disease	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	9	nowadays	nowadays	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	10	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	11	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	12	its	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	13	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	14	often	often	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	15	requires	require	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	16	frequent	frequent	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	17	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	18	very	very	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	19	time	time	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	20	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	21	consuming	consume	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	22	clinical	clinical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	23	exams	exam	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	237	24	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	2	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	3	context	context	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	5	machine	machine	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	6	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	7	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	8	provide	provide	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	9	effective	effective	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	10	tools	tool	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	11	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	12	speed	speed	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	13	up	up	RP
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	14	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	15	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	16	process	process	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	17	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	18	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	19	processing	process	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	20	high	high	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	21	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	22	scale	scale	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	23	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	24	’	’	POS
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	25	datasets	dataset	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	26	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	27	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	28	few	few	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	29	minutes	minute	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	238	30	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	2	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	3	manuscript	manuscript	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	5	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	6	presented	present	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	7	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	8	computational	computational	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	9	system	system	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	10	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	12	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	13	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	14	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	15	patient	patient	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	16	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	17	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	18	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	19	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	20	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	21	interpretation	interpretation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	22	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	23	its	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	24	results	result	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	239	25	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	1	Our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	2	system	system	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	3	consists	consist	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	4	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	5	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	6	loss	loss	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	7	function	function	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	8	that	that	WDT
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	9	allows	allow	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	10	joint	joint	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	11	optimization	optimization	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	12	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	13	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	14	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	15	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	16	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	17	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	18	techniques	technique	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	19	able	able	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	20	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	21	promote	promote	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	22	relevant	relevant	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	23	properties	property	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	24	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	25	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	26	embedded	embed	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	27	spaces	space	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	240	28	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	1	Our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	2	deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	3	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	4	methods	method	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	5	predicted	predict	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	6	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	7	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	8	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	9	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	10	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	11	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	12	high	high	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	13	accuracy	accuracy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	14	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	15	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	16	their	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	17	application	application	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	18	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	19	other	other	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	20	datasets	dataset	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	21	showed	show	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	22	that	that	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	23	their	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	24	robustness	robustness	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	25	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	26	effectiveness	effectiveness	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	27	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	28	not	not	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	29	bounded	bound	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	30	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	31	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	32	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	241	33	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	1	Our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	2	methods	method	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	3	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	4	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	5	used	use	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	6	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	7	analyze	analyze	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	8	profiles	profile	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	9	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	10	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	11	where	where	WRB
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	12	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	13	biopsy	biopsy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	14	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	15	potentially	potentially	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	16	other	other	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	17	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	18	results	result	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	19	are	be	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	20	missing	miss	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	21	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	22	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	23	are	be	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	24	able	able	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	25	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	26	predict	predict	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	27	confidently	confidently	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	28	if	if	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	29	they	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	30	have	have	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	31	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	32	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	242	33	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	243	1	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	243	2	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	243	3	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	243	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	244	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	244	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	244	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	244	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	244	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	244	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	244	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	10	15/20	15/20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	11	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	ADD
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	13	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	14	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	15	future	future	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	16	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	17	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	18	plan	plan	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	19	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	20	employ	employ	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	21	alternative	alternative	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	22	approaches	approach	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	23	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	24	data	datum	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	25	missing	miss	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	26	imputation	imputation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	27	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	28	such	such	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	29	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	30	oversampling	oversample	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	31	through	through	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	32	k	k	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	33	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	34	nearest	near	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	35	neighbors	neighbor	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	36	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	37	Santos	Santos	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	38	et	et	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	39	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	40	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	41	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	42	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	43	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	44	or	or	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	45	latent	latent	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	46	semantic	semantic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	47	indexing	indexing	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	48	similarity	similarity	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	49	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	50	Chicco	Chicco	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	51	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	52	Masseroli	Masseroli	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	53	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	54	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	55	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	245	56	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	1	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	2	also	also	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	3	plan	plan	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	4	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	5	try	try	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	6	alternative	alternative	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	7	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	8	models	model	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	10	like	like	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	11	probabilistic	probabilistic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	12	latent	latent	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	13	semantic	semantic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	14	analysis	analysis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	15	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	16	Pinoli	Pinoli	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	17	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	18	Chicco	Chicco	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	19	&	&	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	20	Masseroli	Masseroli	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	21	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	22	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	23	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	246	24	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	1	Finally	finally	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	3	we	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	4	plan	plan	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	5	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	6	extend	extend	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	7	our	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	8	computational	computational	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	9	system	system	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	10	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	11	adding	add	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	12	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	13	feature	feature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	14	selection	selection	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	15	step	step	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	16	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	17	able	able	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	18	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	19	state	state	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	20	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	21	most	most	RBS
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	22	relevant	relevant	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	23	features	feature	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	24	among	among	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	25	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	26	dataset	dataset	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	247	27	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	1	ACKNOWLEDGEMENTS	ACKNOWLEDGEMENTS	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	2	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	3	authors	author	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	4	thank	thank	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	6	Gynecology	Gynecology	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	7	Service	Service	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	8	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	9	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	10	Hospital	Hospital	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	11	Universitario	Universitario	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	12	de	de	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	13	Caracas	Caracas	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	14	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	15	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	16	Francis	Francis	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	17	Nguyen	Nguyen	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	18	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	19	Princess	Princess	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	20	Margaret	Margaret	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	21	Cancer	Cancer	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	22	Centre	Centre	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	23	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	24	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	25	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	26	English	english	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	27	proof	proof	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	28	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	29	reading	reading	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	30	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	31	this	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	32	manuscript	manuscript	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	248	33	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	1	ADDITIONAL	additional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	2	INFORMATION	information	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	3	AND	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	4	DECLARATIONS	declaration	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	5	Funding	Funding	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	6	This	this	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	7	work	work	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	8	was	be	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	9	funded	fund	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	10	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	12	Project	Project	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	13	“	"	``
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	14	NanoSTIMA	NanoSTIMA	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	15	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	16	Macro	macro	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	17	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	18	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	19	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	20	Nano	Nano	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	21	Human	Human	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	22	Sensing	sensing	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	23	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	24	Towards	towards	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	25	Integrated	Integrated	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	26	Multimodal	Multimodal	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	27	Health	Health	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	28	Monitoring	Monitoring	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	29	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	30	Analytics	Analytics	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	31	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	32	NORTE-01	norte-01	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	33	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	34	0145-	0145-	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	35	FEDER-000016	FEDER-000016	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	36	”	"	''
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	37	financed	finance	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	38	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	39	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	40	North	North	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	41	Portugal	Portugal	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	42	Regional	Regional	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	43	Operational	Operational	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	44	Programme	Programme	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	45	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	46	NORTE	NORTE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	47	2020	2020	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	48	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	49	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	50	under	under	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	51	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	52	PORTUGAL	PORTUGAL	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	53	2020	2020	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	54	Partnership	Partnership	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	55	Agreement	Agreement	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	56	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	57	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	58	through	through	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	59	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	60	European	European	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	61	Regional	Regional	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	62	Development	Development	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	63	Fund	Fund	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	64	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	65	ERDF	ERDF	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	66	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	67	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	68	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	69	also	also	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	70	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	71	Fundacao	Fundacao	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	72	para	para	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	73	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	74	Ciencia	Ciencia	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	75	e	e	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	76	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	77	Tecnologia	Tecnologia	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	78	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	79	FCT	FCT	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	80	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	81	within	within	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	82	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	83	PhD	phd	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	84	grant	grant	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	85	number	number	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	86	SFRH	SFRH	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	87	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	88	BD/93012/2013	BD/93012/2013	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	249	89	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	2	funders	funder	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	3	had	have	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	4	no	no	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	5	role	role	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	6	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	7	study	study	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	8	design	design	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	10	data	datum	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	11	collection	collection	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	12	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	13	analysis	analysis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	14	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	15	decision	decision	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	16	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	17	publish	publish	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	18	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	19	or	or	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	20	preparation	preparation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	21	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	22	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	23	manuscript	manuscript	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	250	24	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	1	Grant	Grant	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	2	Disclosures	disclosure	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	3	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	4	following	follow	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	5	grant	grant	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	6	information	information	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	7	was	be	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	8	disclosed	disclose	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	9	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	10	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	11	authors	author	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	12	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	13	NanoSTIMA	NanoSTIMA	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	14	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	15	Macro	macro	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	16	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	17	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	18	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	19	Nano	Nano	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	20	Human	Human	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	21	Sensing	sensing	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	22	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	23	Towards	towards	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	24	Integrated	Integrated	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	25	Multimodal	Multimodal	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	26	Health	Health	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	27	Monitoring	Monitoring	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	28	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	29	Analytics	Analytics	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	30	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	31	NORTE-01	NORTE-01	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	32	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	33	0145-FEDER-000016	0145-FEDER-000016	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	251	34	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	252	1	North	North	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	252	2	Portugal	Portugal	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	252	3	Regional	Regional	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	252	4	Operational	Operational	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	252	5	Programme	Programme	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	252	6	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	252	7	NORTE	NORTE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	252	8	2020	2020	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	252	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	253	1	PORTUGAL	PORTUGAL	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	253	2	2020	2020	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	253	3	Partnership	Partnership	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	253	4	Agreement	Agreement	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	253	5	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	254	1	European	European	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	254	2	Regional	Regional	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	254	3	Development	Development	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	254	4	Fund	Fund	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	254	5	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	254	6	ERDF	ERDF	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	254	7	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	254	8	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	255	1	Fundacao	Fundacao	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	255	2	para	para	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	255	3	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	255	4	Ciencia	Ciencia	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	255	5	e	e	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	255	6	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	255	7	Tecnologia	Tecnologia	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	255	8	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	255	9	FCT	FCT	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	255	10	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	255	11	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	255	12	SFRH	SFRH	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	255	13	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	255	14	BD/93012/2013	BD/93012/2013	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	255	15	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	256	1	Competing	compete	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	256	2	Interests	interest	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	256	3	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	256	4	authors	author	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	256	5	declare	declare	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	256	6	that	that	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	256	7	they	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	256	8	have	have	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	256	9	no	no	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	256	10	competing	compete	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	256	11	interests	interest	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	256	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	1	Author	author	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	2	Contributions	contribution	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	3	�	�	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	4	Kelwin	Kelwin	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	5	Fernandes	Fernandes	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	6	conceived	conceive	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	7	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	8	designed	design	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	9	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	10	experiments	experiment	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	12	performed	perform	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	13	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	14	experiments	experiment	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	15	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	16	analyzed	analyze	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	17	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	18	data	datum	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	19	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	20	contributed	contribute	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	21	reagents	reagent	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	22	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	23	materials	material	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	24	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	25	analysis	analysis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	26	tools	tool	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	27	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	28	prepared	prepare	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	29	figures	figure	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	30	and/or	and/or	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	31	tables	table	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	32	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	33	performed	perform	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	34	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	35	computation	computation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	36	work	work	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	37	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	38	authored	author	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	39	or	or	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	40	reviewed	review	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	41	drafts	draft	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	42	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	43	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	44	paper	paper	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	45	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	46	approved	approve	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	47	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	48	final	final	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	49	draft	draft	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	257	50	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	1	�	�	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	2	Davide	Davide	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	3	Chicco	Chicco	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	4	conceived	conceive	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	5	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	6	designed	design	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	7	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	8	experiments	experiment	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	10	analyzed	analyze	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	12	data	datum	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	13	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	14	contributed	contribute	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	15	reagents	reagent	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	16	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	17	materials	material	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	18	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	19	analysis	analysis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	20	tools	tool	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	21	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	22	prepared	prepare	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	23	figures	figure	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	24	and/or	and/or	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	25	tables	table	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	26	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	27	authored	author	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	28	or	or	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	29	reviewed	review	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	30	drafts	draft	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	31	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	32	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	33	paper	paper	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	34	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	35	approved	approve	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	36	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	37	final	final	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	38	draft	draft	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	258	39	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	259	1	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	259	2	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	259	3	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	259	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	260	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	260	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	260	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	260	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	260	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	260	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	260	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	10	16/20	16/20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	11	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	12	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	13	�	�	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	14	Jaime	Jaime	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	15	S.	S.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	16	Cardoso	Cardoso	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	17	conceived	conceive	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	18	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	19	designed	design	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	20	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	21	experiments	experiment	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	22	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	23	contributed	contribute	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	24	reagents/	reagents/	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	25	materials	material	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	26	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	27	analysis	analysis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	28	tools	tool	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	29	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	30	authored	author	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	31	or	or	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	32	reviewed	review	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	33	drafts	draft	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	34	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	35	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	36	paper	paper	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	37	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	38	approved	approve	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	39	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	40	final	final	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	41	draft	draft	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	42	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	43	proposed	propose	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	44	parts	part	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	45	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	46	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	47	general	general	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	48	strategy	strategy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	49	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	50	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	51	project	project	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	261	52	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	1	�	�	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	2	Jessica	Jessica	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	3	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	4	analyzed	analyze	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	6	data	datum	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	7	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	8	contributed	contribute	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	9	reagents	reagent	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	10	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	11	materials	material	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	12	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	13	analysis	analysis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	14	tools	tool	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	15	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	16	authored	author	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	17	or	or	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	18	reviewed	review	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	19	drafts	draft	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	20	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	21	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	22	paper	paper	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	23	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	24	approved	approve	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	25	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	26	final	final	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	27	draft	draft	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	28	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	29	construction	construction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	30	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	31	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	32	dataset	dataset	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	33	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	34	domain	domain	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	35	expertise	expertise	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	36	about	about	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	37	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	38	application	application	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	262	39	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	1	Data	datum	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	2	Availability	availability	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	3	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	4	following	follow	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	5	information	information	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	6	was	be	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	7	supplied	supply	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	8	regarding	regard	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	9	data	datum	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	10	availability	availability	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	11	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	12	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	13	dataset	dataset	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	14	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	15	publicly	publicly	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	16	available	available	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	17	at	at	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	18	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	19	University	University	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	20	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	21	California	California	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	22	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	23	Irvine	Irvine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	24	Machine	Machine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	25	Learning	Learning	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	26	Repository	Repository	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	27	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	28	https://archive.ics.uci.edu/ml/datasets/Cervical+cancer+%28Risk	https://archive.ics.uci.edu/ml/datasets/cervical+cancer+%28risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	29	+	+	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	30	Factors%29	factors%29	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	31	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	32	dataset	dataset	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	33	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	34	also	also	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	35	available	available	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	36	at	at	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	37	Github	Github	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	38	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	39	https://github.com/kelwinfc/cervical-cancer-	https://github.com/kelwinfc/cervical-cancer-	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	40	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	41	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	42	tree	tree	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	43	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	44	master	master	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	45	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	46	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	47	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	48	factors	factor	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	49	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	50	data	datum	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	51	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	52	software	software	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	53	code	code	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	54	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	55	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	56	methods	method	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	57	used	use	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	58	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	59	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	60	project	project	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	61	is	be	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	62	available	available	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	63	at	at	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	64	Github	Github	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	65	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	66	https://	https://	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	67	github.com/kelwinfc/cervical-cancer-screening/	github.com/kelwinfc/cervical-cancer-screening/	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	68	We	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	69	implemented	implement	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	70	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	71	software	software	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	72	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	73	Python	Python	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	74	2.7	2.7	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	75	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	76	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	77	Keras	Keras	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	78	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	79	Chollet	Chollet	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	80	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	81	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	82	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	83	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	84	TensorFlow	TensorFlow	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	85	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	86	Abadi	Abadi	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	87	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	88	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	89	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	90	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	91	2016	2016	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	92	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	93	frameworks	framework	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	94	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	95	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	96	tested	test	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	97	it	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	98	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	99	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	100	computer	computer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	101	running	run	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	102	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	103	Linux	Linux	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	104	Ubuntu	Ubuntu	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	105	16.04	16.04	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	106	operating	operating	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	107	system	system	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	263	108	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	1	REFERENCES	REFERENCES	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	2	Abadi	Abadi	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	3	M	M	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	5	Barham	Barham	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	6	P	P	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	7	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	8	Chen	Chen	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	9	J	J	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	10	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	11	Chen	Chen	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	12	Z	Z	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	13	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	14	Davis	Davis	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	15	A	A	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	16	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	17	Dean	Dean	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	18	J	J	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	19	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	20	Devin	Devin	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	21	M	M	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	22	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	23	Ghemawat	Ghemawat	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	24	S	S	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	25	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	26	Irving	Irving	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	27	G	G	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	28	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	29	Isard	Isard	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	30	M	M	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	31	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	32	Kudlur	Kudlur	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	33	M	M	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	34	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	35	Levenberg	Levenberg	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	36	J	J	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	37	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	38	Monga	Monga	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	39	R	R	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	40	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	41	Moore	Moore	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	42	S	S	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	43	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	44	Murray	Murray	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	45	DG	DG	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	46	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	47	Steiner	Steiner	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	48	B	B	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	49	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	50	Tucker	Tucker	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	51	P	P	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	52	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	53	Vasudevan	Vasudevan	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	54	V	V	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	55	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	56	Warden	Warden	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	57	P	P	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	58	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	59	Wicke	Wicke	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	60	M	M	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	61	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	62	Yu	Yu	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	63	Y	Y	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	64	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	65	Zheng	Zheng	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	66	X	X	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	67	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	68	Google	Google	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	69	Brain	Brain	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	264	70	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	265	1	2016	2016	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	265	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	266	1	TensorFlow	TensorFlow	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	266	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	266	3	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	266	4	system	system	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	266	5	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	266	6	large	large	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	266	7	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	266	8	scale	scale	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	266	9	machine	machine	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	266	10	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	266	11	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	3	Proceedings	proceeding	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	4	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	6	12th	12th	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	7	USENIX	USENIX	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	8	Symposium	Symposium	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	9	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	10	Operating	operate	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	11	Systems	Systems	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	12	Design	design	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	13	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	14	Implementation	implementation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	15	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	16	OSDI	OSDI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	17	2016	2016	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	18	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	19	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	20	Savannah	Savannah	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	21	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	22	GA	GA	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	23	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	24	USA	USA	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	267	25	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	268	1	Vol	Vol	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	268	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	269	1	16	16	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	269	2	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	269	3	265–283	265–283	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	269	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	270	1	Alipanahi	Alipanahi	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	270	2	B	B	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	270	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	270	4	Delong	Delong	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	270	5	A	A	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	270	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	270	7	Weirauch	Weirauch	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	270	8	MT	MT	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	270	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	270	10	Frey	Frey	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	270	11	BJ	BJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	270	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	271	1	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	271	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	272	1	Predicting	predict	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	272	2	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	272	3	sequence	sequence	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	272	4	specificities	specificity	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	272	5	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	272	6	DNA-	DNA-	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	272	7	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	272	8	RNA	RNA	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	272	9	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	272	10	binding	bind	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	272	11	proteins	protein	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	272	12	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	272	13	deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	272	14	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	272	15	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	273	1	Nature	Nature	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	273	2	Biotechnology	Biotechnology	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	273	3	33(8):831–838	33(8):831–838	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	273	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	273	5	10.1038	10.1038	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	273	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	273	7	nbt.3300	nbt.3300	ADD
work_d6kjnyqzwjcgzjuphidi4rvpvu	273	8	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	1	Ayres	Ayres	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	2	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	3	de	de	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	4	Campos	Campos	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	5	D	D	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	7	Bernardes	Bernardes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	8	J	J	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	10	Garrido	Garrido	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	11	A	A	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	13	Marques	Marques	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	14	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	15	de	de	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	16	Sa	Sa	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	17	J	J	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	18	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	19	Pereira	Pereira	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	20	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	21	Leite	Leite	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	22	L.	L.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	23	2000	2000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	274	24	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	275	1	Sisporto	Sisporto	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	275	2	2.0	2.0	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	275	3	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	275	4	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	275	5	program	program	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	275	6	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	275	7	automated	automated	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	275	8	analysis	analysis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	275	9	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	275	10	cardiotocograms	cardiotocogram	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	275	11	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	276	1	Journal	Journal	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	276	2	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	276	3	Maternal	Maternal	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	276	4	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	276	5	Fetal	Fetal	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	276	6	Medicine	Medicine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	276	7	9(5):311–318	9(5):311–318	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	276	8	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	276	9	10.3109/14767050009053454	10.3109/14767050009053454	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	276	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	1	Bessa	Bessa	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	2	S	S	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	4	Domingues	Domingues	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	5	I	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	7	Cardosos	Cardosos	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	8	JS	JS	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	10	Passarinho	Passarinho	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	11	P	P	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	13	Cardoso	Cardoso	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	14	P	P	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	15	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	16	Rodrigues	Rodrigues	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	17	V	v	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	18	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	19	Lage	Lage	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	20	F.	F.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	21	2014	2014	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	277	22	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	278	1	Normal	normal	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	278	2	breast	breast	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	278	3	identification	identification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	278	4	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	278	5	screening	screen	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	278	6	mammography	mammography	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	278	7	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	278	8	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	278	9	study	study	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	278	10	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	278	11	18,000	18,000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	278	12	images	image	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	278	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	279	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	279	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	279	3	2014	2014	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	279	4	IEEE	IEEE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	279	5	International	International	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	279	6	Conference	Conference	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	279	7	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	279	8	Bioinformatics	Bioinformatics	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	279	9	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	279	10	Biomedicine	Biomedicine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	279	11	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	279	12	BIBM	BIBM	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	279	13	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	279	14	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	280	1	Belfast	Belfast	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	280	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	280	3	IEEE	IEEE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	280	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	280	5	325–330	325–330	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	280	6	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	1	Cangelosi	Cangelosi	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	2	D	D	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	4	Pelassa	Pelassa	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	5	S	S	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	7	Morini	Morini	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	8	M	M	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	10	Conte	Conte	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	11	M	M	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	13	Bosco	Bosco	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	14	MC	MC	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	15	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	16	Eva	Eva	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	17	A	A	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	18	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	19	Sementa	Sementa	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	20	AR	AR	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	21	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	22	Varesio	Varesio	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	23	L.	L.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	24	2016	2016	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	281	25	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	282	1	Artificial	artificial	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	282	2	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	282	3	network	network	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	282	4	classifier	classifier	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	282	5	predicts	predict	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	282	6	neuroblastoma	neuroblastoma	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	282	7	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	282	8	’	’	POS
work_d6kjnyqzwjcgzjuphidi4rvpvu	282	9	outcome	outcome	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	282	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	283	1	BMC	BMC	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	283	2	Bioinformatics	Bioinformatics	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	283	3	17(12):83	17(12):83	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	283	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	284	1	Centers	center	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	284	2	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	284	3	Disease	Disease	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	284	4	Control	Control	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	284	5	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	284	6	Prevention	Prevention	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	284	7	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	284	8	CDC	CDC	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	284	9	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	284	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	285	1	2013	2013	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	285	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	286	1	Cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	286	2	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	286	3	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	286	4	among	among	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	286	5	women	woman	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	286	6	aged	age	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	286	7	18–30	18–30	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	286	8	years	year	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	286	9	—	—	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	286	10	United	United	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	286	11	States	States	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	286	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	286	13	2000–2010	2000–2010	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	286	14	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	287	1	Morbidity	Morbidity	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	287	2	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	287	3	Mortality	Mortality	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	287	4	Weekly	Weekly	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	287	5	Report	Report	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	287	6	61(51–52):1038	61(51–52):1038	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	287	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	288	1	Chicco	Chicco	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	288	2	D.	D.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	288	3	2017	2017	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	288	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	289	1	Ten	ten	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	289	2	quick	quick	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	289	3	tips	tip	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	289	4	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	289	5	machine	machine	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	289	6	learning	learn	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	289	7	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	289	8	computational	computational	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	289	9	biology	biology	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	289	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	290	1	BioData	BioData	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	290	2	Mining	Mining	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	290	3	10(1):35	10(1):35	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	290	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	290	5	10.1186	10.1186	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	290	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	290	7	s13040	s13040	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	290	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	290	9	017	017	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	290	10	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	290	11	0155	0155	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	290	12	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	290	13	3	3	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	290	14	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	291	1	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	291	2	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	291	3	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	291	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	292	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	292	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	292	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	292	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	292	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	292	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	292	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	10	17/20	17/20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	11	https://archive.ics.uci.edu/ml/datasets/Cervical+cancer+%28Risk+Factors%29	https://archive.ics.uci.edu/ml/datasets/Cervical+cancer+%28Risk+Factors%29	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	12	https://archive.ics.uci.edu/ml/datasets/Cervical+cancer+%28Risk+Factors%29	https://archive.ics.uci.edu/ml/datasets/Cervical+cancer+%28Risk+Factors%29	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	13	https://github.com/kelwinfc/cervical-cancer-screening/tree/master/risk-factors/data	https://github.com/kelwinfc/cervical-cancer-screening/tree/master/risk-factors/data	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	14	https://github.com/kelwinfc/cervical-cancer-screening/tree/master/risk-factors/data	https://github.com/kelwinfc/cervical-cancer-screening/tree/master/risk-factors/data	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	15	https://github.com/kelwinfc/cervical-cancer-screening/	https://github.com/kelwinfc/cervical-cancer-screening/	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	16	https://github.com/kelwinfc/cervical-cancer-screening/	https://github.com/kelwinfc/cervical-cancer-screening/	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	17	http://dx.doi.org/10.1038/nbt.3300	http://dx.doi.org/10.1038/nbt.3300	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	18	http://dx.doi.org/10.3109/14767050009053454	http://dx.doi.org/10.3109/14767050009053454	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	19	http://dx.doi.org/10.1186/s13040-017-0155-3	http://dx.doi.org/10.1186/s13040-017-0155-3	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	20	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	ADD
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	21	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	22	Chicco	Chicco	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	23	D	D	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	24	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	25	Masseroli	Masseroli	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	26	M.	M.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	27	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	293	28	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	294	1	Software	software	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	294	2	suite	suite	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	294	3	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	294	4	gene	gene	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	294	5	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	294	6	protein	protein	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	294	7	annotation	annotation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	294	8	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	294	9	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	294	10	similarity	similarity	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	294	11	search	search	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	294	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	295	1	IEEE	IEEE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	295	2	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	295	3	ACM	ACM	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	295	4	Transactions	Transactions	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	295	5	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	295	6	Computational	Computational	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	295	7	Biology	Biology	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	295	8	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	295	9	Bioinformatics	Bioinformatics	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	295	10	12(4):837–843	12(4):837–843	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	295	11	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	295	12	10.1109	10.1109	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	295	13	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	295	14	tcbb.2014.2382127	tcbb.2014.2382127	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	295	15	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	296	1	Chicco	Chicco	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	296	2	D	D	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	296	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	296	4	Sadowski	Sadowski	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	296	5	P	P	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	296	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	296	7	Baldi	Baldi	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	296	8	P.	P.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	296	9	2014	2014	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	296	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	297	1	Deep	deep	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	297	2	autoencoder	autoencoder	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	297	3	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	297	4	networks	network	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	297	5	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	297	6	Gene	Gene	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	297	7	Ontology	Ontology	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	297	8	annotation	annotation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	297	9	predictions	prediction	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	297	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	298	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	298	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	298	3	Proceedings	Proceedings	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	298	4	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	298	5	ACM	ACM	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	298	6	BCB	BCB	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	298	7	2014	2014	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	298	8	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	299	1	Newport	Newport	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	299	2	Beach	Beach	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	299	3	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	299	4	ACM	ACM	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	299	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	299	6	533–540	533–540	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	299	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	300	1	Chollet	Chollet	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	300	2	F.	F.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	300	3	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	300	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	301	1	Keras	Keras	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	301	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	302	1	Available	available	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	302	2	at	at	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	302	3	https://github.com/keras-team/keras	https://github.com/keras-team/kera	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	302	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	303	1	Cruz	Cruz	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	303	2	R	R	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	303	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	303	4	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	303	5	K	K	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	303	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	303	7	Cardoso	Cardoso	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	303	8	JS	JS	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	303	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	303	10	Costa	Costa	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	303	11	JFP	JFP	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	303	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	304	1	2016	2016	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	304	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	305	1	Tackling	tackle	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	305	2	class	class	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	305	3	imbalance	imbalance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	305	4	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	305	5	ranking	rank	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	305	6	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	306	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	306	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	306	3	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	306	4	2016	2016	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	306	5	International	International	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	306	6	Joint	Joint	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	306	7	Conference	Conference	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	306	8	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	306	9	Neural	Neural	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	306	10	Networks	Networks	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	306	11	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	307	1	Vancouver	Vancouver	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	307	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	307	3	IEEE	IEEE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	307	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	307	5	2182–2187	2182–2187	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	307	6	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	308	1	Davis	Davis	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	308	2	J	J	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	308	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	308	4	Goadrich	Goadrich	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	308	5	M.	M.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	308	6	2006	2006	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	308	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	309	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	309	2	relationship	relationship	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	309	3	between	between	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	309	4	precision	precision	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	309	5	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	309	6	recall	recall	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	309	7	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	309	8	ROC	ROC	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	309	9	curves	curve	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	309	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	310	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	310	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	310	3	Proceedings	proceeding	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	310	4	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	310	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	310	6	23rd	23rd	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	310	7	International	International	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	310	8	Conference	Conference	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	310	9	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	310	10	Machine	Machine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	310	11	Learning	Learning	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	310	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	311	1	Pittsburgh	Pittsburgh	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	311	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	311	3	ACM	ACM	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	311	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	311	5	233–240	233–240	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	311	6	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	1	Deacon	Deacon	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	2	JM	JM	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	4	Evans	Evans	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	5	CD	CD	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	7	Yule	Yule	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	8	R	R	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	10	Desai	Desai	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	11	M	M	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	13	Binns	Binns	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	14	W	W	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	15	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	16	Taylor	Taylor	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	17	C	C	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	18	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	19	Peto	Peto	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	312	20	J.	J.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	313	1	2000	2000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	313	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	1	Sexual	sexual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	2	behaviour	behaviour	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	3	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	4	smoking	smoking	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	5	as	as	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	6	determinants	determinant	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	7	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	8	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	9	HPV	HPV	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	10	infection	infection	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	11	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	12	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	13	CIN3	CIN3	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	14	among	among	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	15	those	those	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	16	infected	infect	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	17	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	18	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	19	case	case	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	20	–	–	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	21	control	control	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	22	study	study	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	23	nested	nest	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	24	within	within	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	25	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	26	Manchester	Manchester	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	27	cohort	cohort	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	314	28	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	315	1	British	British	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	315	2	Journal	Journal	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	315	3	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	315	4	Cancer	Cancer	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	315	5	83(11):1565–1572	83(11):1565–1572	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	315	6	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	315	7	10.1054	10.1054	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	315	8	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	315	9	bjoc.2000.1523	bjoc.2000.1523	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	315	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	316	1	Elter	Elter	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	316	2	M	M	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	316	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	316	4	Schulz	Schulz	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	316	5	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	316	6	Wendtland	Wendtland	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	316	7	R	R	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	316	8	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	316	9	Wittenberg	Wittenberg	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	316	10	T.	T.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	316	11	2007	2007	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	316	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	1	The	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	2	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	3	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	4	breast	breast	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	5	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	6	biopsy	biopsy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	7	outcomes	outcome	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	8	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	9	two	two	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	10	CAD	CAD	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	11	approaches	approach	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	12	that	that	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	13	both	both	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	14	emphasize	emphasize	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	15	an	an	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	16	intelligible	intelligible	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	17	decision	decision	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	18	process	process	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	317	19	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	318	1	Medical	Medical	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	318	2	Physics	Physics	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	318	3	34(11):4164–4172	34(11):4164–4172	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	318	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	318	5	10.1118/1.2786864	10.1118/1.2786864	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	318	6	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	319	1	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	319	2	K	K	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	319	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	319	4	Cardoso	Cardoso	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	319	5	JS	JS	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	319	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	319	7	Astrup	Astrup	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	319	8	BS	BS	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	319	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	320	1	2017a	2017a	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	320	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	321	1	Automated	automate	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	321	2	detection	detection	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	321	3	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	321	4	categorization	categorization	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	321	5	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	321	6	genital	genital	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	321	7	injuries	injury	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	321	8	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	321	9	digital	digital	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	321	10	colposcopy	colposcopy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	321	11	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	322	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	322	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	322	3	Alexandre	Alexandre	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	322	4	L	L	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	322	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	322	6	Salvador	Salvador	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	322	7	Sánchez	sánchez	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	322	8	J	J	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	322	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	322	10	Rodrigues	Rodrigues	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	322	11	J	J	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	322	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	322	13	eds	eds	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	322	14	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	323	1	Iberian	Iberian	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	323	2	Conference	Conference	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	323	3	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	323	4	Pattern	Pattern	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	323	5	Recognition	Recognition	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	323	6	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	323	7	Image	Image	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	323	8	Analysis	Analysis	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	323	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	324	1	Faro	Faro	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	324	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	324	3	Springer	Springer	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	324	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	324	5	251–258	251–258	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	324	6	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	325	1	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	325	2	K	K	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	325	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	325	4	Cardoso	Cardoso	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	325	5	JS	JS	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	325	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	325	7	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	325	8	J.	J.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	326	1	2017b	2017b	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	326	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	327	1	Transfer	transfer	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	327	2	learning	learn	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	327	3	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	327	4	partial	partial	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	327	5	observability	observability	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	327	6	applied	apply	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	327	7	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	327	8	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	327	9	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	327	10	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	327	11	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	328	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	328	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	328	3	Alexandre	Alexandre	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	328	4	L	L	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	328	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	328	6	Salvador	Salvador	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	328	7	Sánchez	sánchez	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	328	8	J	J	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	328	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	328	10	Rodrigues	Rodrigues	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	328	11	J	J	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	328	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	328	13	eds	eds	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	328	14	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	329	1	Iberian	Iberian	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	329	2	Conference	Conference	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	329	3	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	329	4	Pattern	Pattern	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	329	5	Recognition	Recognition	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	329	6	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	329	7	Image	Image	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	329	8	Analysis	Analysis	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	329	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	330	1	Faro	Faro	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	330	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	330	3	Springer	Springer	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	330	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	330	5	243–250	243–250	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	330	6	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	331	1	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	331	2	K	K	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	331	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	331	4	Cardoso	Cardoso	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	331	5	JS	JS	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	331	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	331	7	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	331	8	J.	J.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	332	1	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	332	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	333	1	Temporal	temporal	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	333	2	segmentation	segmentation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	333	3	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	333	4	digital	digital	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	333	5	colposcopies	colposcopie	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	333	6	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	334	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	334	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	334	3	Paredes	Paredes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	334	4	R	R	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	334	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	334	6	Cardoso	Cardoso	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	334	7	J	J	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	334	8	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	334	9	Pardo	Pardo	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	334	10	X	X	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	334	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	334	12	eds	eds	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	334	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	335	1	Iberian	Iberian	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	335	2	Conference	Conference	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	335	3	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	335	4	Pattern	Pattern	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	335	5	Recognition	Recognition	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	335	6	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	335	7	Image	Image	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	335	8	Analysis	Analysis	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	335	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	336	1	Santiago	Santiago	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	336	2	de	de	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	336	3	Compostela	Compostela	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	336	4	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	336	5	Springer	Springer	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	336	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	336	7	262–271	262–271	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	336	8	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	337	1	Graffar	Graffar	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	337	2	M.	M.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	337	3	1956	1956	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	337	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	338	1	Une	une	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	338	2	méthode	méthode	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	338	3	de	de	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	338	4	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	338	5	sociale	sociale	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	338	6	d’échantillons	d’échantillons	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	338	7	de	de	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	338	8	population	population	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	338	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	339	1	Courrier	Courrier	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	339	2	6(8):455–459	6(8):455–459	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	339	3	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	340	1	Guyon	Guyon	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	340	2	I	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	340	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	340	4	Gunn	Gunn	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	340	5	S	S	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	340	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	340	7	Ben	Ben	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	340	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	340	9	Hur	Hur	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	340	10	A	A	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	340	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	340	12	Dror	Dror	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	340	13	G.	G.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	340	14	2005	2005	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	340	15	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	341	1	Result	result	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	341	2	analysis	analysis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	341	3	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	341	4	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	341	5	nips	nip	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	341	6	2003	2003	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	341	7	feature	feature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	341	8	selection	selection	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	341	9	challenge	challenge	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	341	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	342	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	342	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	342	3	Weiss	Weiss	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	342	4	Y	Y	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	342	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	342	6	Schölkopf	Schölkopf	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	342	7	B	B	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	342	8	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	342	9	Platt	Platt	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	342	10	JC	JC	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	342	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	342	12	eds	eds	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	342	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	343	1	Advances	advance	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	343	2	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	343	3	Neural	Neural	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	343	4	Information	Information	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	343	5	Processing	Processing	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	343	6	Systems	Systems	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	343	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	344	1	Vancouver	Vancouver	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	344	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	344	3	Neural	Neural	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	344	4	Information	Information	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	344	5	Processing	Processing	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	344	6	Systems	Systems	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	344	7	Foundation	Foundation	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	344	8	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	344	9	545–552	545–552	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	344	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	345	1	He	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	345	2	K	K	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	345	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	345	4	Zhang	Zhang	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	345	5	X	X	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	345	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	345	7	Ren	Ren	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	345	8	S	S	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	345	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	345	10	Sun	Sun	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	345	11	J.	J.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	346	1	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	346	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	347	1	Delving	delve	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	347	2	deep	deep	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	347	3	into	into	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	347	4	rectifiers	rectifier	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	347	5	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	347	6	Surpassing	surpass	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	347	7	human	human	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	347	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	347	9	level	level	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	347	10	performance	performance	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	347	11	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	347	12	imagenet	imagenet	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	347	13	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	347	14	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	348	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	348	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	348	3	Proceedings	Proceedings	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	348	4	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	348	5	IEEE	IEEE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	348	6	ICCV	ICCV	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	348	7	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	348	8	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	348	9	Santiago	Santiago	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	348	10	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	348	11	Chile	Chile	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	348	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	348	13	1026–1034	1026–1034	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	348	14	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	349	1	Hong	Hong	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	349	2	Z	Z	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	349	3	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	349	4	Q	Q	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	349	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	349	6	Yang	Yang	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	349	7	J	J	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	349	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	349	9	Y.	Y.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	350	1	1991	1991	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	350	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	351	1	Optimal	optimal	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	351	2	discriminant	discriminant	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	351	3	plane	plane	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	351	4	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	351	5	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	351	6	small	small	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	351	7	number	number	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	351	8	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	351	9	samples	sample	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	351	10	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	351	11	design	design	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	351	12	method	method	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	351	13	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	351	14	classifier	classifier	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	351	15	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	351	16	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	351	17	plane	plane	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	351	18	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	1	Pattern	Pattern	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	2	Recognition	Recognition	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	3	24(4):317–324	24(4):317–324	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	5	10.1016/0031	10.1016/0031	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	6	-	-	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	7	3203(91)90074-f	3203(91)90074-f	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	8	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	9	Kauffman	Kauffman	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	10	RP	RP	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	12	Griffin	Griffin	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	13	SJ	SJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	14	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	15	Lund	Lund	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	16	JD	JD	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	17	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	18	Tullar	Tullar	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	19	PE	PE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	352	20	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	353	1	2013	2013	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	353	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	354	1	Current	current	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	354	2	recommendations	recommendation	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	354	3	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	354	4	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	354	5	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	354	6	screening	screening	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	354	7	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	354	8	do	do	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	354	9	they	-PRON-	PRP
work_d6kjnyqzwjcgzjuphidi4rvpvu	354	10	render	render	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	354	11	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	354	12	annual	annual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	354	13	pelvic	pelvic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	354	14	examination	examination	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	354	15	obsolete	obsolete	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	354	16	?	?	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	355	1	Medical	medical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	355	2	Principles	Principles	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	355	3	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	355	4	Practice	Practice	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	355	5	22(4):313–322	22(4):313–322	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	355	6	DOI	doi	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	355	7	10.1159/000346137	10.1159/000346137	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	355	8	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	356	1	Kiros	Kiros	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	356	2	R	R	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	356	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	356	4	Salakhutdinov	Salakhutdinov	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	356	5	R	R	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	356	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	356	7	Zemel	Zemel	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	356	8	RS	RS	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	356	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	357	1	2014	2014	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	357	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	358	1	Unifying	unify	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	358	2	visual	visual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	358	3	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	358	4	semantic	semantic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	358	5	embeddings	embedding	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	358	6	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	358	7	multimodal	multimodal	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	358	8	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	358	9	language	language	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	358	10	models	model	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	358	11	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	359	1	Available	available	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	359	2	at	at	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	359	3	http://arxiv.org/abs/1411.2539	http://arxiv.org/abs/1411.2539	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	359	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	360	1	Kurgan	Kurgan	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	360	2	LA	LA	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	360	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	360	4	Cios	Cios	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	360	5	KJ	KJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	360	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	360	7	Tadeusiewicz	Tadeusiewicz	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	360	8	R	R	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	360	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	360	10	Ogiela	Ogiela	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	360	11	M	M	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	360	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	360	13	Goodenday	Goodenday	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	360	14	LS	LS	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	360	15	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	361	1	2001	2001	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	361	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	362	1	Knowledge	knowledge	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	362	2	discovery	discovery	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	362	3	approach	approach	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	362	4	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	362	5	automated	automate	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	362	6	cardiac	cardiac	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	362	7	SPECT	SPECT	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	362	8	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	362	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	363	1	Artificial	Artificial	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	363	2	Intelligence	Intelligence	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	363	3	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	363	4	Medicine	Medicine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	363	5	23(2):149–169	23(2):149–169	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	363	6	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	363	7	10.1016	10.1016	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	363	8	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	363	9	s0933	s0933	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	363	10	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	363	11	3657(01)00082	3657(01)00082	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	363	12	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	363	13	3	3	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	363	14	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	364	1	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	364	2	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	364	3	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	364	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	365	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	365	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	365	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	365	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	365	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	365	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	365	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	10	18/20	18/20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	11	http://dx.doi.org/10.1109/tcbb.2014.2382127	http://dx.doi.org/10.1109/tcbb.2014.2382127	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	12	https://github.com/keras-team/keras	https://github.com/keras-team/keras	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	13	http://dx.doi.org/10.1054/bjoc.2000.1523	http://dx.doi.org/10.1054/bjoc.2000.1523	UH
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	14	http://dx.doi.org/10.1118/1.2786864	http://dx.doi.org/10.1118/1.2786864	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	15	http://dx.doi.org/10.1016/0031-3203(91)90074-f	http://dx.doi.org/10.1016/0031-3203(91)90074-f	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	16	http://dx.doi.org/10.1159/000346137	http://dx.doi.org/10.1159/000346137	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	17	http://arxiv.org/abs/1411.2539	http://arxiv.org/abs/1411.2539	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	18	http://dx.doi.org/10.1016/s0933-3657(01)00082-3	http://dx.doi.org/10.1016/s0933-3657(01)00082-3	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	19	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	20	https://peerj.com/computer-science/	https://peerj.com/computer-science/	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	21	Lacoste	Lacoste	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	22	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	23	Julien	Julien	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	24	S	S	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	25	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	26	Sha	Sha	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	27	F	F	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	28	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	29	Jordan	Jordan	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	30	MI	MI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	366	31	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	367	1	2009	2009	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	367	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	368	1	Disclda	disclda	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	368	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	368	3	discriminative	discriminative	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	368	4	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	368	5	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	368	6	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	368	7	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	368	8	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	368	9	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	368	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	3	Bengio	Bengio	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	4	Y	Y	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	6	Schuurmans	Schuurmans	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	7	D	D	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	8	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	9	Lafferty	Lafferty	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	10	JD	JD	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	12	Williams	Williams	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	13	CKI	CKI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	14	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	15	Culotta	Culotta	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	16	A	A	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	17	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	18	eds	eds	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	369	19	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	370	1	Advances	advance	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	370	2	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	370	3	Neural	Neural	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	370	4	Information	Information	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	370	5	Processing	Processing	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	370	6	Systems	Systems	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	370	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	371	1	Vancouver	Vancouver	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	371	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	371	3	Neural	Neural	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	371	4	Information	Information	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	371	5	Processing	Processing	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	371	6	Systems	Systems	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	371	7	Foundation	Foundation	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	371	8	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	371	9	897–904	897–904	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	371	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	372	1	LeCun	LeCun	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	372	2	Y	Y	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	372	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	372	4	Bengio	Bengio	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	372	5	Y	Y	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	372	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	372	7	Hinton	Hinton	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	372	8	G.	G.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	372	9	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	372	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	373	1	Deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	373	2	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	373	3	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	374	1	Nature	nature	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	374	2	521(7553):436–444	521(7553):436–444	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	374	3	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	374	4	10.1038	10.1038	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	374	5	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	374	6	nature14539	nature14539	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	374	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	375	1	Levy	Levy	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	375	2	O	O	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	375	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	375	4	Goldberg	Goldberg	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	375	5	Y	Y	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	375	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	375	7	Ramat	Ramat	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	375	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	375	9	Gan	Gan	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	375	10	I.	i.	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	376	1	2014	2014	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	376	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	377	1	Linguistic	linguistic	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	377	2	regularities	regularity	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	377	3	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	377	4	sparse	sparse	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	377	5	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	377	6	explicit	explicit	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	377	7	word	word	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	377	8	representations	representation	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	377	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	378	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	378	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	378	3	Morante	Morante	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	378	4	R	R	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	378	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	378	6	Yih	Yih	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	378	7	SW	SW	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	378	8	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	378	9	eds	eds	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	378	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	379	1	CoNLL	CoNLL	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	379	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	380	1	Baltimore	Baltimore	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	380	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	380	3	Association	Association	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	380	4	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	380	5	Computational	Computational	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	380	6	Linguistics	Linguistics	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	380	7	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	380	8	171–180	171–180	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	380	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	381	1	Li	Li	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	381	2	W	W	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	381	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	381	4	Prasad	Prasad	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	381	5	S	S	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	381	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	381	7	Fowler	Fowler	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	381	8	JE	JE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	381	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	381	10	Bruce	Bruce	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	381	11	LM	LM	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	381	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	382	1	2012	2012	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	382	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	383	1	Locality	locality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	383	2	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	383	3	preserving	preserve	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	383	4	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	383	5	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	383	6	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	383	7	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	383	8	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	383	9	hyperspectral	hyperspectral	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	383	10	image	image	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	383	11	analysis	analysis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	383	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	384	1	IEEE	IEEE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	384	2	Transactions	Transactions	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	384	3	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	384	4	Geoscience	Geoscience	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	384	5	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	384	6	Remote	Remote	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	384	7	Sensing	Sensing	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	384	8	50(4):1185–1198	50(4):1185–1198	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	384	9	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	384	10	10.1109	10.1109	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	384	11	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	384	12	tgrs.2011.2165957	tgrs.2011.2165957	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	384	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	385	1	Little	little	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	385	2	MA	MA	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	385	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	385	4	McSharry	McSharry	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	385	5	PE	PE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	385	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	385	7	Roberts	Roberts	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	385	8	SJ	SJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	385	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	385	10	Costello	Costello	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	385	11	DA	DA	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	385	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	385	13	Moroz	Moroz	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	385	14	IM	IM	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	385	15	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	386	1	2007	2007	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	386	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	387	1	Exploiting	exploit	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	387	2	nonlinear	nonlinear	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	387	3	recurrence	recurrence	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	387	4	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	387	5	fractal	fractal	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	387	6	scaling	scale	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	387	7	properties	property	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	387	8	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	387	9	voice	voice	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	387	10	disorder	disorder	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	387	11	detection	detection	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	387	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	388	1	Biomedical	Biomedical	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	388	2	Engineering	Engineering	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	388	3	Online	Online	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	388	4	6(1):23	6(1):23	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	388	5	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	388	6	10.1186/1475	10.1186/1475	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	388	7	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	388	8	925x-6	925x-6	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	388	9	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	388	10	23	23	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	388	11	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	1	Louie	Louie	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	2	KS	KS	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	4	De	De	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	5	Sanjose	Sanjose	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	6	S	S	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	7	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	8	Diaz	Diaz	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	9	M	M	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	10	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	11	Castellsague	Castellsague	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	12	X	X	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	13	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	14	Herrero	Herrero	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	15	R	R	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	16	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	17	Meijer	Meijer	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	18	CJ	CJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	19	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	20	Shah	Shah	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	21	K	K	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	22	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	23	Franceschi	Franceschi	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	24	S	S	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	25	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	26	Munoz	Munoz	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	27	N	N	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	28	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	29	Bosch	Bosch	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	30	FX	FX	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	389	31	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	390	1	2009	2009	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	390	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	1	Early	early	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	2	age	age	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	3	at	at	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	4	first	first	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	5	sexual	sexual	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	6	intercourse	intercourse	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	7	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	8	early	early	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	9	pregnancy	pregnancy	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	10	are	be	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	11	risk	risk	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	12	factors	factor	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	13	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	14	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	15	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	16	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	17	developing	develop	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	18	countries	country	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	391	19	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	392	1	British	British	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	392	2	Journal	Journal	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	392	3	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	392	4	Cancer	Cancer	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	392	5	100(7):1191–1197	100(7):1191–1197	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	392	6	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	392	7	10.1038	10.1038	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	392	8	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	392	9	sj.bjc.6604974	sj.bjc.6604974	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	392	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	393	1	Mangasarian	mangasarian	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	393	2	OL	OL	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	393	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	393	4	Street	Street	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	393	5	WN	WN	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	393	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	393	7	Wolberg	Wolberg	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	393	8	WH	WH	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	393	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	394	1	1995	1995	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	394	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	395	1	Breast	breast	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	395	2	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	395	3	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	395	4	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	395	5	prognosis	prognosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	395	6	via	via	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	395	7	linear	linear	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	395	8	programming	programming	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	395	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	396	1	Operations	Operations	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	396	2	Research	Research	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	396	3	43(4):570–577	43(4):570–577	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	396	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	396	5	10.1287	10.1287	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	396	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	396	7	opre.43.4.570	opre.43.4.570	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	396	8	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	397	1	Menke	Menke	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	397	2	J	J	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	397	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	397	4	Martinez	Martinez	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	397	5	TR	TR	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	397	6	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	398	1	2004	2004	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	398	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	1	Using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	2	permutations	permutation	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	3	instead	instead	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	4	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	5	student	student	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	6	’s	’s	POS
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	7	t	t	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	8	distribution	distribution	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	9	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	10	p	p	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	11	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	12	values	value	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	13	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	14	paired	pair	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	15	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	16	difference	difference	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	17	algorithm	algorithm	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	18	comparisons	comparison	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	399	19	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	400	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	400	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	400	3	2004	2004	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	400	4	IEEE	IEEE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	400	5	International	International	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	400	6	Joint	Joint	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	400	7	Conference	Conference	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	400	8	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	400	9	Neural	Neural	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	400	10	Networks	Networks	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	400	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	400	12	Proceedings	Proceedings	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	400	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	401	1	Vol	Vol	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	401	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	402	1	2	2	LS
work_d6kjnyqzwjcgzjuphidi4rvpvu	402	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	403	1	Budapest	budapest	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	403	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	403	3	IEEE	IEEE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	403	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	403	5	1331–1335	1331–1335	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	403	6	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	404	1	Moore	Moore	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	404	2	JH	JH	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	404	3	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	405	1	2004	2004	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	405	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	406	1	Computational	computational	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	406	2	analysis	analysis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	406	3	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	406	4	gene	gene	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	406	5	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	406	6	gene	gene	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	406	7	interactions	interaction	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	406	8	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	406	9	multifactor	multifactor	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	406	10	dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	406	11	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	406	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	407	1	Expert	Expert	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	407	2	Review	Review	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	407	3	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	407	4	Molecular	Molecular	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	407	5	Diagnostics	Diagnostics	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	407	6	4(6):795–803	4(6):795–803	POS
work_d6kjnyqzwjcgzjuphidi4rvpvu	407	7	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	407	8	10.1586/14737159.4.6.795	10.1586/14737159.4.6.795	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	407	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	408	1	Peterson	Peterson	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	408	2	LE	LE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	408	3	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	409	1	2009	2009	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	409	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	410	1	K	K	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	410	2	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	410	3	nearest	near	JJS
work_d6kjnyqzwjcgzjuphidi4rvpvu	410	4	neighbor	neighbor	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	410	5	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	411	1	Scholarpedia	Scholarpedia	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	411	2	4(2):1883	4(2):1883	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	411	3	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	411	4	10.4249	10.4249	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	411	5	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	411	6	scholarpedia.1883	scholarpedia.1883	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	411	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	412	1	Pinoli	Pinoli	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	412	2	P	P	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	412	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	412	4	Chicco	Chicco	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	412	5	D	D	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	412	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	412	7	Masseroli	Masseroli	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	412	8	M.	M.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	412	9	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	412	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	413	1	Computational	computational	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	413	2	algorithms	algorithm	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	413	3	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	413	4	predict	predict	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	413	5	gene	gene	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	413	6	ontology	ontology	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	413	7	annotations	annotation	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	413	8	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	414	1	BMC	BMC	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	414	2	Bioinformatics	Bioinformatics	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	414	3	16(Suppl	16(suppl	ADD
work_d6kjnyqzwjcgzjuphidi4rvpvu	414	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	415	1	6):S4	6):S4	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	415	2	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	415	3	10.1186/1471	10.1186/1471	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	415	4	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	415	5	2105	2105	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	415	6	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	415	7	16-s6-s4	16-s6-s4	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	415	8	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	416	1	Plissiti	Plissiti	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	416	2	ME	ME	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	416	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	416	4	Nikou	Nikou	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	416	5	C.	C.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	416	6	2013	2013	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	416	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	417	1	A	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	417	2	review	review	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	417	3	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	417	4	automated	automate	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	417	5	techniques	technique	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	417	6	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	417	7	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	417	8	cell	cell	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	417	9	image	image	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	417	10	analysis	analysis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	417	11	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	417	12	classification	classification	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	417	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	418	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	418	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	418	3	Andreaus	Andreaus	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	418	4	U	U	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	418	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	418	6	Iacoviello	Iacoviello	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	418	7	D	D	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	418	8	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	418	9	eds	eds	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	418	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	419	1	Biomedical	Biomedical	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	419	2	Imaging	Imaging	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	419	3	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	419	4	Computational	Computational	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	419	5	Modeling	Modeling	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	419	6	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	419	7	Biomechanics	Biomechanics	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	419	8	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	420	1	Dordrecht	Dordrecht	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	420	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	420	3	Springer	Springer	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	420	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	420	5	1–18	1–18	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	420	6	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	421	1	Quinlan	Quinlan	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	421	2	JR	JR	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	421	3	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	421	4	1986	1986	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	421	5	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	422	1	Induction	induction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	422	2	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	422	3	decision	decision	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	422	4	trees	tree	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	422	5	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	423	1	Machine	Machine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	423	2	Learning	Learning	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	423	3	1(1):81–106	1(1):81–106	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	423	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	423	5	10.1007	10.1007	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	423	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	423	7	bf00116251	bf00116251	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	423	8	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	424	1	Ronneberger	Ronneberger	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	424	2	O	O	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	424	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	424	4	Fischer	Fischer	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	424	5	P	P	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	424	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	424	7	Brox	Brox	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	424	8	T.	T.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	424	9	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	424	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	425	1	U	u	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	425	2	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	425	3	net	net	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	425	4	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	425	5	convolutional	convolutional	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	425	6	networks	network	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	425	7	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	425	8	biomedical	biomedical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	425	9	image	image	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	425	10	segmentation	segmentation	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	425	11	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	426	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	426	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	426	3	International	International	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	426	4	Conference	Conference	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	426	5	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	426	6	Medical	Medical	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	426	7	Image	Image	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	426	8	Computing	Computing	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	426	9	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	426	10	Computer	Computer	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	426	11	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	426	12	Assisted	Assisted	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	426	13	Intervention	Intervention	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	426	14	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	427	1	Munich	Munich	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	427	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	427	3	Springer	Springer	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	427	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	427	5	234–241	234–241	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	427	6	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	428	1	Santos	Santos	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	428	2	MS	MS	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	428	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	428	4	Abreu	Abreu	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	428	5	PH	PH	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	428	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	428	7	Garca	Garca	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	428	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	428	9	Laencina	Laencina	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	428	10	PJ	PJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	428	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	428	12	Simão	Simão	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	428	13	A	A	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	428	14	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	428	15	Carvalho	Carvalho	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	428	16	A.	a.	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	429	1	2015	2015	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	429	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	430	1	A	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	430	2	new	new	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	430	3	cluster	cluster	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	430	4	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	430	5	based	base	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	430	6	oversampling	oversample	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	430	7	method	method	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	430	8	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	430	9	improving	improve	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	430	10	survival	survival	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	430	11	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	430	12	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	430	13	hepatocellular	hepatocellular	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	430	14	carcinoma	carcinoma	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	430	15	patients	patient	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	430	16	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	431	1	Journal	Journal	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	431	2	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	431	3	Biomedical	Biomedical	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	431	4	Informatics	Informatics	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	431	5	58:49–59	58:49–59	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	431	6	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	431	7	10.1016	10.1016	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	431	8	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	431	9	j.jbi.2015.09.012	j.jbi.2015.09.012	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	431	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	1	Scholkopf	Scholkopf	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	2	B	B	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	4	Sung	Sung	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	5	K	K	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	6	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	7	K	K	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	8	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	9	Burges	Burges	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	10	CJ	CJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	11	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	12	Girosi	Girosi	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	13	F	F	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	14	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	15	Niyogi	Niyogi	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	16	P	P	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	17	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	18	Poggio	Poggio	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	19	T	T	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	20	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	21	Vapnik	Vapnik	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	22	V.	V.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	23	1997	1997	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	432	24	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	433	1	Comparing	compare	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	433	2	support	support	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	433	3	vector	vector	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	433	4	machines	machine	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	433	5	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	433	6	Gaussian	gaussian	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	433	7	kernels	kernel	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	433	8	to	to	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	433	9	radial	radial	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	433	10	basis	basis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	433	11	function	function	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	433	12	classifiers	classifier	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	433	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	434	1	IEEE	IEEE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	434	2	Transactions	transaction	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	434	3	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	434	4	Signal	Signal	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	434	5	Processing	Processing	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	434	6	45(11):2758–2765	45(11):2758–2765	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	434	7	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	434	8	10.1109/78.650102	10.1109/78.650102	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	434	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	435	1	Smith	Smith	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	435	2	JW	JW	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	435	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	435	4	Everhart	Everhart	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	435	5	J	J	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	435	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	435	7	Dickson	Dickson	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	435	8	W	W	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	435	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	435	10	Knowler	Knowler	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	435	11	W	W	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	435	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	435	13	Johannes	Johannes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	435	14	R.	R.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	435	15	1988	1988	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	435	16	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	436	1	Using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	436	2	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	436	3	ADAP	ADAP	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	436	4	learning	learn	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	436	5	algorithm	algorithm	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	436	6	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	436	7	forecast	forecast	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	436	8	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	436	9	onset	onset	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	436	10	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	436	11	diabetes	diabetes	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	436	12	mellitus	mellitus	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	436	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	437	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	437	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	437	3	Proceedings	proceeding	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	437	4	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	437	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	437	6	Annual	Annual	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	437	7	Symposium	Symposium	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	437	8	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	437	9	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	437	10	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	437	11	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	437	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	438	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	438	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	438	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	438	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	438	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	438	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	438	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	10	19/20	19/20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	11	http://dx.doi.org/10.1038/nature14539	http://dx.doi.org/10.1038/nature14539	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	12	http://dx.doi.org/10.1109/tgrs.2011.2165957	http://dx.doi.org/10.1109/tgrs.2011.2165957	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	13	http://dx.doi.org/10.1186/1475-925x-6-23	http://dx.doi.org/10.1186/1475-925x-6-23	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	14	http://dx.doi.org/10.1038/sj.bjc.6604974	http://dx.doi.org/10.1038/sj.bjc.6604974	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	15	http://dx.doi.org/10.1287/opre.43.4.570	http://dx.doi.org/10.1287/opre.43.4.570	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	16	http://dx.doi.org/10.1586/14737159.4.6.795	http://dx.doi.org/10.1586/14737159.4.6.795	VBZ
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	17	http://dx.doi.org/10.4249/scholarpedia.1883	http://dx.doi.org/10.4249/scholarpedia.1883	ADD
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	18	http://dx.doi.org/10.1186/1471-2105-16-s6-s4	http://dx.doi.org/10.1186/1471-2105-16-s6-s4	ADD
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	19	http://dx.doi.org/10.1007/bf00116251	http://dx.doi.org/10.1007/bf00116251	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	20	http://dx.doi.org/10.1016/j.jbi.2015.09.012	http://dx.doi.org/10.1016/j.jbi.2015.09.012	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	21	http://dx.doi.org/10.1109/78.650102	http://dx.doi.org/10.1109/78.650102	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	22	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	23	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	24	Computer	Computer	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	25	Application	Application	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	26	in	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	27	Medical	Medical	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	28	Care	Care	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	439	29	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	440	1	New	New	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	440	2	York	York	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	440	3	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	440	4	American	American	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	440	5	Medical	Medical	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	440	6	Informatics	Informatics	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	440	7	Association	Association	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	440	8	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	440	9	261	261	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	440	10	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	441	1	Srivastava	Srivastava	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	441	2	N	N	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	441	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	441	4	Hinton	Hinton	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	441	5	GE	GE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	441	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	441	7	Krizhevsky	Krizhevsky	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	441	8	A	A	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	441	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	441	10	Sutskever	Sutskever	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	441	11	I	I	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	441	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	441	13	Salakhutdinov	Salakhutdinov	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	441	14	R.	R.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	441	15	2014	2014	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	441	16	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	442	1	Dropout	dropout	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	442	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	442	3	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	442	4	simple	simple	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	442	5	way	way	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	442	6	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	442	7	prevent	prevent	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	442	8	neural	neural	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	442	9	networks	network	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	442	10	from	from	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	442	11	overfitting	overfitte	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	442	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	443	1	Journal	Journal	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	443	2	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	443	3	Machine	Machine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	443	4	Learning	Learning	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	443	5	Research	Research	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	443	6	15(1):1929–1958	15(1):1929–1958	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	443	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	444	1	Tieleman	Tieleman	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	444	2	T	T	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	444	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	444	4	Hinton	Hinton	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	444	5	G.	G.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	444	6	2012	2012	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	444	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	445	1	Lecture	lecture	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	445	2	6.5—rmsprop	6.5—rmsprop	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	445	3	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	445	4	divide	divide	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	445	5	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	445	6	gradient	gradient	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	445	7	by	by	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	445	8	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	445	9	running	running	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	445	10	average	average	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	445	11	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	445	12	its	-PRON-	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	445	13	recent	recent	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	445	14	magnitude	magnitude	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	445	15	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	446	1	Coursera	Coursera	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	446	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	446	3	Neural	Neural	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	446	4	Networks	Networks	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	446	5	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	446	6	Machine	Machine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	446	7	Learning	Learning	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	446	8	4(2):26–31	4(2):26–31	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	446	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	447	1	University	University	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	447	2	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	447	3	California	California	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	447	4	Irvine	Irvine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	447	5	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	448	1	1987	1987	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	448	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	449	1	Machine	Machine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	449	2	Learning	Learning	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	449	3	Repository	Repository	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	449	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	450	1	Available	available	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	450	2	at	at	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	450	3	http://archive.ics	http://archive.ic	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	450	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	451	1	uci.edu/ml/	uci.edu/ml/	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	451	2	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	451	3	accessed	access	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	451	4	10	10	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	451	5	August	August	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	451	6	2017	2017	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	451	7	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	451	8	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	452	1	University	University	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	452	2	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	452	3	California	California	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	452	4	Irvine	Irvine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	452	5	Machine	Machine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	452	6	Learning	Learning	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	452	7	Repository	Repository	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	452	8	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	453	1	2017	2017	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	453	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	454	1	Cervical	Cervical	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	454	2	Cancer	Cancer	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	454	3	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	454	4	Risk	Risk	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	454	5	Factors	Factors	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	454	6	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	454	7	Data	Data	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	454	8	Set	Set	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	454	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	455	1	Available	available	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	455	2	at	at	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	455	3	https://archive.ics.uci.edu/ml/datasets/Cervical+cancer+%28Risk	https://archive.ics.uci.edu/ml/datasets/cervical+cancer+%28risk	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	455	4	+	+	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	455	5	Factors%29	Factors%29	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	455	6	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	455	7	accessed	access	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	455	8	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	455	9	February	February	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	455	10	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	455	11	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	455	12	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	456	1	Van	Van	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	456	2	Der	Der	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	456	3	Maaten	Maaten	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	456	4	L	L	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	456	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	456	6	Hinton	Hinton	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	456	7	G.	G.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	456	8	2008	2008	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	456	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	457	1	Visualizing	visualize	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	457	2	data	datum	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	457	3	using	use	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	457	4	t	t	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	457	5	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	457	6	SNE	SNE	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	457	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	458	1	Journal	Journal	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	458	2	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	458	3	Machine	Machine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	458	4	Learning	Learning	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	458	5	Research	Research	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	458	6	9:2579–2605	9:2579–2605	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	458	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	459	1	Van	Van	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	459	2	Der	Der	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	459	3	Maaten	Maaten	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	459	4	L	L	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	459	5	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	459	6	Postma	Postma	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	459	7	E	E	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	459	8	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	459	9	Van	Van	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	459	10	den	den	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	459	11	Herik	Herik	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	459	12	J.	J.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	460	1	2009	2009	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	460	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	461	1	Dimensionality	dimensionality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	461	2	reduction	reduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	461	3	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	461	4	a	a	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	461	5	comparative	comparative	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	461	6	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	462	1	Journal	Journal	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	462	2	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	462	3	Machine	Machine	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	462	4	Learning	Learning	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	462	5	Research	Research	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	462	6	10:66–71	10:66–71	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	462	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	463	1	Vincent	Vincent	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	463	2	P	P	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	463	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	463	4	Larochelle	Larochelle	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	463	5	H	H	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	463	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	463	7	Bengio	Bengio	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	463	8	Y	Y	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	463	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	463	10	Manzagol	Manzagol	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	463	11	P	P	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	463	12	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	463	13	A.	a.	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	464	1	2008	2008	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	464	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	465	1	Extracting	extracting	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	465	2	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	465	3	composing	composing	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	465	4	robust	robust	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	465	5	features	feature	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	465	6	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	465	7	denoising	denoise	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	465	8	autoencoders	autoencoder	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	465	9	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	466	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	466	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	466	3	Proceedings	Proceedings	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	466	4	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	466	5	ICML	ICML	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	466	6	2008	2008	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	466	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	467	1	Helsinki	Helsinki	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	467	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	467	3	ACM	ACM	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	467	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	467	5	1096–1103	1096–1103	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	467	6	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	468	1	Xu	Xu	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	468	2	T	T	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	468	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	468	4	Zhang	Zhang	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	468	5	H	H	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	468	6	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	468	7	Huang	Huang	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	468	8	X	X	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	468	9	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	468	10	Zhang	Zhang	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	468	11	S	S	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	468	12	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	468	13	Metaxas	Metaxas	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	468	14	DN	DN	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	468	15	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	469	1	2016	2016	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	469	2	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	470	1	Multimodal	Multimodal	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	470	2	deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	470	3	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	470	4	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	470	5	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	470	6	dysplasia	dysplasia	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	470	7	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	470	8	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	471	1	In	in	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	471	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	471	3	International	International	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	471	4	Conference	Conference	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	471	5	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	471	6	Medical	Medical	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	471	7	Image	Image	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	471	8	Computing	Computing	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	471	9	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	471	10	Computer-	Computer-	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	471	11	Assisted	Assisted	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	471	12	Intervention	Intervention	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	471	13	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	472	1	Athens	Athens	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	472	2	:	:	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	472	3	Springer	Springer	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	472	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	472	5	115–123	115–123	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	472	6	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	473	1	Fernandes	Fernandes	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	473	2	et	et	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	473	3	al	al	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	473	4	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	474	1	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	474	2	2018	2018	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	474	3	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	474	4	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	474	5	PeerJ	PeerJ	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	474	6	Comput	Comput	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	474	7	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	1	Sci	Sci	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	2	.	.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	3	,	,	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	4	DOI	DOI	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	5	10.7717	10.7717	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	6	/	/	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	7	peerj	peerj	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	8	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	9	cs.154	cs.154	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	10	20/20	20/20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	11	http://archive.ics.uci.edu/ml/	http://archive.ics.uci.edu/ml/	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	12	http://archive.ics.uci.edu/ml/	http://archive.ics.uci.edu/ml/	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	13	https://archive.ics.uci.edu/ml/datasets/Cervical&plus;cancer&plus;%28Risk&plus;Factors%29	https://archive.ics.uci.edu/ml/datasets/Cervical&plus;cancer&plus;%28Risk&plus;Factors%29	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	14	https://archive.ics.uci.edu/ml/datasets/Cervical&plus;cancer&plus;%28Risk&plus;Factors%29	https://archive.ics.uci.edu/ml/datasets/Cervical&plus;cancer&plus;%28Risk&plus;Factors%29	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	15	http://dx.doi.org/10.7717/peerj-cs.154	http://dx.doi.org/10.7717/peerj-cs.154	ADD
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	16	https://peerj.com/computer-science/	https://peerj.com/computer-science/	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	17	Supervised	supervised	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	18	deep	deep	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	19	learning	learning	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	20	embeddings	embedding	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	21	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	22	the	the	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	23	prediction	prediction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	24	of	of	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	25	cervical	cervical	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	26	cancer	cancer	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	27	diagnosis	diagnosis	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	28	Introduction	introduction	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	29	Methods	Methods	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	30	Dataset	Dataset	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	31	Results	Results	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	32	Discussion	Discussion	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	33	Conclusion	Conclusion	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	34	flink7	flink7	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	35	References	References	NNPS
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	36	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	37	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	38	/ASCII85EncodePages	/ASCII85EncodePages	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	39	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	40	/AllowTransparency	/allowtransparency	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	41	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	42	/AutoPositionEPSFiles	/AutoPositionEPSFiles	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	43	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	44	/AutoRotatePages	/AutoRotatePages	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	45	/None	/None	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	46	/Binding	/Binding	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	47	/Left	/Left	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	48	/CalGrayProfile	/CalGrayProfile	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	49	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	50	Dot	dot	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	51	Gain	Gain	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	52	20	20	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	53	%	%	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	54	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	55	/CalRGBProfile	/CalRGBProfile	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	56	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	57	sRGB	srgb	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	58	IEC61966	IEC61966	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	59	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	60	2.1	2.1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	61	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	62	/CalCMYKProfile	/CalCMYKProfile	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	63	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	475	64	U.S.	U.S.	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	1	Web	web	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	2	Coated	Coated	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	3	\050SWOP\051	\050SWOP\051	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	4	v2	v2	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	5	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	6	/sRGBProfile	/sRGBProfile	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	7	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	8	sRGB	srgb	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	9	IEC61966	IEC61966	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	10	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	11	2.1	2.1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	12	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	13	/CannotEmbedFontPolicy	/CannotEmbedFontPolicy	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	14	/Warning	/Warning	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	15	/CompatibilityLevel	/compatibilitylevel	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	16	1.4	1.4	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	17	/CompressObjects	/CompressObjects	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	18	/Off	/Off	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	19	/CompressPages	/CompressPages	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	20	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	21	/ConvertImagesToIndexed	/ConvertImagesToIndexed	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	22	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	23	/PassThroughJPEGImages	/PassThroughJPEGImages	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	24	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	25	/CreateJobTicket	/createjobticket	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	26	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	27	/DefaultRenderingIntent	/DefaultRenderingIntent	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	28	/Default	/Default	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	29	/DetectBlends	/DetectBlends	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	30	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	31	/DetectCurves	/DetectCurves	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	32	0.0000	0.0000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	33	/ColorConversionStrategy	/ColorConversionStrategy	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	34	/LeaveColorUnchanged	/LeaveColorUnchanged	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	35	/DoThumbnails	/DoThumbnails	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	36	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	37	/EmbedAllFonts	/embedallfont	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	38	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	39	/EmbedOpenType	/EmbedOpenType	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	40	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	41	/ParseICCProfilesInComments	/ParseICCProfilesInComments	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	42	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	43	/EmbedJobOptions	/embedjoboption	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	44	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	45	/DSCReportingLevel	/DSCReportingLevel	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	46	0	0	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	47	/EmitDSCWarnings	/EmitDSCWarnings	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	48	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	49	/EndPage	/endpage	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	50	-1	-1	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	51	/ImageMemory	/imagememory	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	52	1048576	1048576	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	53	/LockDistillerParams	/lockdistillerparams	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	54	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	55	/MaxSubsetPct	/MaxSubsetPct	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	56	100	100	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	57	/Optimize	/optimize	VBP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	58	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	59	/OPM	/OPM	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	60	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	61	/ParseDSCComments	/ParseDSCComments	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	62	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	63	/ParseDSCCommentsForDocInfo	/ParseDSCCommentsForDocInfo	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	64	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	65	/PreserveCopyPage	/PreserveCopyPage	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	66	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	67	/PreserveDICMYKValues	/PreserveDICMYKValues	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	68	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	69	/PreserveEPSInfo	/PreserveEPSInfo	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	70	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	71	/PreserveFlatness	/PreserveFlatness	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	72	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	73	/PreserveHalftoneInfo	/preservehalftoneinfo	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	74	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	75	/PreserveOPIComments	/PreserveOPIComments	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	76	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	77	/PreserveOverprintSettings	/PreserveOverprintSettings	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	78	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	79	/StartPage	/StartPage	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	80	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	81	/SubsetFonts	/subsetfonts	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	82	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	83	/TransferFunctionInfo	/TransferFunctionInfo	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	84	/Apply	/apply	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	85	/UCRandBGInfo	/UCRandBGInfo	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	86	/Preserve	/Preserve	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	87	/UsePrologue	/UsePrologue	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	88	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	89	/ColorSettingsFile	/ColorSettingsFile	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	90	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	91	None	none	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	92	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	93	/AlwaysEmbed	/alwaysembed	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	94	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	95	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	96	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	97	/NeverEmbed	/neverembe	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	98	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	99	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	100	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	101	/AntiAliasColorImages	/AntiAliasColorImages	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	102	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	103	/CropColorImages	/cropcolorimage	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	104	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	105	/ColorImageMinResolution	/colorimageminresolution	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	106	300	300	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	107	/ColorImageMinResolutionPolicy	/colorimageminresolutionpolicy	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	108	/OK	/OK	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	109	/DownsampleColorImages	/DownsampleColorImages	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	110	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	111	/ColorImageDownsampleType	/ColorImageDownsampleType	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	112	/Average	/Average	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	113	/ColorImageResolution	/ColorImageResolution	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	114	300	300	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	115	/ColorImageDepth	/colorimagedepth	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	116	8	8	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	117	/ColorImageMinDownsampleDepth	/colorimagemindownsampledepth	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	118	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	119	/ColorImageDownsampleThreshold	/colorimagedownsamplethreshold	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	120	1.50000	1.50000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	121	/EncodeColorImages	/EncodeColorImages	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	122	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	123	/ColorImageFilter	/ColorImageFilter	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	124	/FlateEncode	/FlateEncode	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	125	/AutoFilterColorImages	/AutoFilterColorImages	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	126	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	127	/ColorImageAutoFilterStrategy	/ColorImageAutoFilterStrategy	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	128	/JPEG	/JPEG	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	129	/ColorACSImageDict	/ColorACSImageDict	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	130	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	131	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	132	/QFactor	/qfactor	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	133	0.15	0.15	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	134	/HSamples	/HSamples	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	135	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	136	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	137	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	138	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	139	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	140	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	141	/VSamples	/VSamples	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	142	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	143	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	144	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	145	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	146	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	147	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	148	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	149	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	150	/ColorImageDict	/ColorImageDict	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	151	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	152	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	153	/QFactor	/qfactor	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	154	0.15	0.15	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	155	/HSamples	/HSamples	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	156	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	157	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	158	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	159	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	160	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	161	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	162	/VSamples	/VSamples	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	163	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	164	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	165	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	166	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	167	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	168	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	169	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	170	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	171	/JPEG2000ColorACSImageDict	/JPEG2000ColorACSImageDict	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	172	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	173	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	174	/TileWidth	/TileWidth	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	175	256	256	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	176	/TileHeight	/tileheight	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	177	256	256	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	178	/Quality	/quality	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	179	30	30	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	180	>	>	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	181	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	182	/JPEG2000ColorImageDict	/JPEG2000ColorImageDict	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	183	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	184	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	185	/TileWidth	/TileWidth	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	186	256	256	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	187	/TileHeight	/tileheight	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	188	256	256	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	189	/Quality	/quality	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	190	30	30	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	191	>	>	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	192	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	193	/AntiAliasGrayImages	/AntiAliasGrayImages	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	194	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	195	/CropGrayImages	/CropGrayImages	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	196	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	197	/GrayImageMinResolution	/GrayImageMinResolution	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	198	300	300	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	199	/GrayImageMinResolutionPolicy	/grayimageminresolutionpolicy	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	200	/OK	/OK	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	201	/DownsampleGrayImages	/DownsampleGrayImages	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	202	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	203	/GrayImageDownsampleType	/GrayImageDownsampleType	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	204	/Average	/average	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	205	/GrayImageResolution	/GrayImageResolution	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	206	300	300	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	207	/GrayImageDepth	/grayimagedepth	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	208	8	8	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	209	/GrayImageMinDownsampleDepth	/grayimagemindownsampledepth	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	210	2	2	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	211	/GrayImageDownsampleThreshold	/grayimagedownsamplethreshold	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	212	1.50000	1.50000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	213	/EncodeGrayImages	/encodegrayimages	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	214	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	215	/GrayImageFilter	/GrayImageFilter	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	216	/FlateEncode	/flateencode	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	217	/AutoFilterGrayImages	/AutoFilterGrayImages	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	218	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	219	/GrayImageAutoFilterStrategy	/grayimageautofilterstrategy	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	220	/JPEG	/JPEG	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	221	/GrayACSImageDict	/GrayACSImageDict	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	222	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	223	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	224	/QFactor	/qfactor	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	225	0.15	0.15	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	226	/HSamples	/HSamples	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	227	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	228	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	229	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	230	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	231	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	232	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	233	/VSamples	/VSamples	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	234	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	235	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	236	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	237	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	238	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	239	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	240	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	241	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	242	/GrayImageDict	/GrayImageDict	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	243	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	244	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	245	/QFactor	/qfactor	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	246	0.15	0.15	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	247	/HSamples	/HSamples	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	248	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	249	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	250	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	251	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	252	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	253	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	254	/VSamples	/VSamples	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	255	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	256	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	257	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	258	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	259	1	1	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	260	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	261	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	262	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	263	/JPEG2000GrayACSImageDict	/JPEG2000GrayACSImageDict	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	264	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	265	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	266	/TileWidth	/TileWidth	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	267	256	256	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	268	/TileHeight	/tileheight	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	269	256	256	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	270	/Quality	/quality	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	271	30	30	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	272	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	273	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	274	/JPEG2000GrayImageDict	/JPEG2000GrayImageDict	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	275	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	276	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	277	/TileWidth	/TileWidth	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	278	256	256	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	279	/TileHeight	/tileheight	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	280	256	256	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	281	/Quality	/quality	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	282	30	30	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	283	>	>	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	284	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	285	/AntiAliasMonoImages	/AntiAliasMonoImages	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	286	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	287	/CropMonoImages	/CropMonoImages	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	288	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	289	/MonoImageMinResolution	/MonoImageMinResolution	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	290	1200	1200	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	291	/MonoImageMinResolutionPolicy	/MonoImageMinResolutionPolicy	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	292	/OK	/OK	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	293	/DownsampleMonoImages	/DownsampleMonoImages	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	294	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	295	/MonoImageDownsampleType	/MonoImageDownsampleType	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	296	/Average	/average	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	297	/MonoImageResolution	/MonoImageResolution	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	298	1200	1200	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	299	/MonoImageDepth	/monoimagedepth	SYM
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	300	-1	-1	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	301	/MonoImageDownsampleThreshold	/MonoImageDownsampleThreshold	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	302	1.50000	1.50000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	303	/EncodeMonoImages	/EncodeMonoImages	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	304	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	305	/MonoImageFilter	/MonoImageFilter	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	306	/CCITTFaxEncode	/CCITTFaxEncode	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	307	/MonoImageDict	/MonoImageDict	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	308	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	309	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	310	/K	/K	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	311	-1	-1	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	312	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	313	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	314	/AllowPSXObjects	/AllowPSXObjects	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	315	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	316	/CheckCompliance	/CheckCompliance	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	317	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	318	/None	/None	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	319	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	320	/PDFX1aCheck	/PDFX1aCheck	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	321	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	322	/PDFX3Check	/PDFX3Check	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	323	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	324	/PDFXCompliantPDFOnly	/PDFXCompliantPDFOnly	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	325	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	326	/PDFXNoTrimBoxError	/PDFXNoTrimBoxError	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	327	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	328	/PDFXTrimBoxToMediaBoxOffset	/PDFXTrimBoxToMediaBoxOffset	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	329	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	330	0.00000	0.00000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	331	0.00000	0.00000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	332	0.00000	0.00000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	333	0.00000	0.00000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	334	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	335	/PDFXSetBleedBoxToMediaBox	/PDFXSetBleedBoxToMediaBox	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	336	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	337	/PDFXBleedBoxToTrimBoxOffset	/PDFXBleedBoxToTrimBoxOffset	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	338	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	339	0.00000	0.00000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	340	0.00000	0.00000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	341	0.00000	0.00000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	342	0.00000	0.00000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	343	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	344	/PDFXOutputIntentProfile	/PDFXOutputIntentProfile	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	345	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	346	None	none	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	347	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	348	/PDFXOutputConditionIdentifier	/PDFXOutputConditionIdentifier	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	349	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	350	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	351	/PDFXOutputCondition	/PDFXOutputCondition	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	352	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	353	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	354	/PDFXRegistryName	/PDFXRegistryName	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	355	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	356	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	357	/PDFXTrapped	/PDFXTrapped	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	358	/False	/False	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	359	/CreateJDFFile	/CreateJDFFile	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	360	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	361	/Description	/description	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	362	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	363	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	364	/CHS	/CHS	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	365	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	366	FEFF4f7f75288fd94e9b8bbe5b9a521b5efa7684002000500044004600206587686353ef901a8fc7684c976262535370673a548c002000700072006f006f00660065007200208fdb884c9ad88d2891cf62535370300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c676562535f00521b5efa768400200050004400460020658768633002	FEFF4f7f75288fd94e9b8bbe5b9a521b5efa7684002000500044004600206587686353ef901a8fc7684c976262535370673a548c002000700072006f006f00660065007200208fdb884c9ad88d2891cf62535370300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c676562535f00521b5efa768400200050004400460020658768633002	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	367	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	368	/CHT	/CHT	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	369	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	370	FEFF4f7f752890194e9b8a2d7f6e5efa7acb7684002000410064006f006200650020005000440046002065874ef653ef5728684c9762537088686a5f548c002000700072006f006f00660065007200204e0a73725f979ad854c18cea7684521753706548679c300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c4f86958b555f5df25efa7acb76840020005000440046002065874ef63002	FEFF4f7f752890194e9b8a2d7f6e5efa7acb7684002000410064006f006200650020005000440046002065874ef653ef5728684c9762537088686a5f548c002000700072006f006f00660065007200204e0a73725f979ad854c18cea7684521753706548679c300260a853ef4ee54f7f75280020004100630072006f0062006100740020548c002000410064006f00620065002000520065006100640065007200200035002e003000204ee553ca66f49ad87248672c4f86958b555f5df25efa7acb76840020005000440046002065874ef63002	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	371	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	372	/DAN	/DAN	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	373	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	374	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	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	375	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	376	/DEU	/DEU	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	377	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	378	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	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	379	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	380	/ESP	/ESP	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	381	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	382	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	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	383	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	384	/FRA	/FRA	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	385	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	386	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	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	387	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	388	/ITA	/ITA	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	389	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	390	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	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	391	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	392	/JPN	/JPN	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	393	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	394	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	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	395	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	396	/KOR	/KOR	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	397	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	398	FEFFc7740020c124c815c7440020c0acc6a9d558c5ec0020b370c2a4d06cd0d10020d504b9b0d1300020bc0f0020ad50c815ae30c5d0c11c0020ace0d488c9c8b85c0020c778c1c4d560002000410064006f0062006500200050004400460020bb38c11cb97c0020c791c131d569b2c8b2e4002e0020c774b807ac8c0020c791c131b41c00200050004400460020bb38c11cb2940020004100630072006f0062006100740020bc0f002000410064006f00620065002000520065006100640065007200200035002e00300020c774c0c1c5d0c11c0020c5f40020c2180020c788c2b5b2c8b2e4002e	FEFFc7740020c124c815c7440020c0acc6a9d558c5ec0020b370c2a4d06cd0d10020d504b9b0d1300020bc0f0020ad50c815ae30c5d0c11c0020ace0d488c9c8b85c0020c778c1c4d560002000410064006f0062006500200050004400460020bb38c11cb97c0020c791c131d569b2c8b2e4002e0020c774b807ac8c0020c791c131b41c00200050004400460020bb38c11cb2940020004100630072006f0062006100740020bc0f002000410064006f00620065002000520065006100640065007200200035002e00300020c774c0c1c5d0c11c0020c5f40020c2180020c788c2b5b2c8b2e4002e	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	399	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	400	/NLD	/NLD	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	401	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	402	Gebruik	Gebruik	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	403	deze	deze	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	404	instellingen	instellingen	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	405	om	om	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	406	Adobe	Adobe	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	407	PDF	PDF	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	408	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	409	documenten	documenten	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	410	te	te	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	411	maken	maken	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	412	voor	voor	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	413	kwaliteitsafdrukken	kwaliteitsafdrukken	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	414	op	op	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	415	desktopprinters	desktopprinter	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	416	en	en	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	417	proofers	proofer	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	476	418	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	477	1	De	De	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	477	2	gemaakte	gemaakte	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	477	3	PDF	PDF	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	477	4	-	-	HYPH
work_d6kjnyqzwjcgzjuphidi4rvpvu	477	5	documenten	documenten	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	477	6	kunnen	kunnen	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	477	7	worden	worden	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	477	8	geopend	geopend	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	477	9	met	meet	VBD
work_d6kjnyqzwjcgzjuphidi4rvpvu	477	10	Acrobat	Acrobat	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	477	11	en	en	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	477	12	Adobe	Adobe	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	477	13	Reader	Reader	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	477	14	5.0	5.0	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	477	15	en	en	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	477	16	hoger	hoger	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	477	17	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	477	18	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	1	/NOR	/NOR	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	2	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	3	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	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	4	>	>	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	5	/PTB	/PTB	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	6	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	7	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	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	8	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	9	/SUO	/suo	FW
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	10	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	11	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	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	12	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	13	/SVE	/SVE	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	14	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	15	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	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	16	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	17	/ENU	/ENU	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	18	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	19	Use	use	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	20	these	these	DT
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	21	settings	setting	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	22	to	to	TO
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	23	create	create	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	24	Adobe	Adobe	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	25	PDF	PDF	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	26	documents	document	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	27	for	for	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	28	quality	quality	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	29	printing	print	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	30	on	on	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	31	desktop	desktop	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	32	printers	printer	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	33	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	34	proofers	proofer	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	478	35	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	479	1	Created	create	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	479	2	PDF	PDF	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	479	3	documents	document	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	479	4	can	can	MD
work_d6kjnyqzwjcgzjuphidi4rvpvu	479	5	be	be	VB
work_d6kjnyqzwjcgzjuphidi4rvpvu	479	6	opened	open	VBN
work_d6kjnyqzwjcgzjuphidi4rvpvu	479	7	with	with	IN
work_d6kjnyqzwjcgzjuphidi4rvpvu	479	8	Acrobat	Acrobat	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	479	9	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	479	10	Adobe	Adobe	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	479	11	Reader	Reader	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	479	12	5.0	5.0	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	479	13	and	and	CC
work_d6kjnyqzwjcgzjuphidi4rvpvu	479	14	later	later	RB
work_d6kjnyqzwjcgzjuphidi4rvpvu	479	15	.	.	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	479	16	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	1	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	2	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	3	/Namespace	/namespace	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	4	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	5	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	6	Adobe	Adobe	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	7	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	8	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	9	Common	Common	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	10	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	11	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	12	1.0	1.0	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	13	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	14	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	15	/OtherNamespaces	/OtherNamespaces	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	16	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	17	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	18	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	19	/AsReaderSpreads	/AsReaderSpreads	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	20	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	21	/CropImagesToFrames	/CropImagesToFrames	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	22	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	23	/ErrorControl	/ErrorControl	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	24	/WarnAndContinue	/WarnAndContinue	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	25	/FlattenerIgnoreSpreadOverrides	/FlattenerIgnoreSpreadOverrides	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	26	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	27	/IncludeGuidesGrids	/IncludeGuidesGrids	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	28	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	29	/IncludeNonPrinting	/includenonprinte	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	30	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	31	/IncludeSlug	/IncludeSlug	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	32	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	33	/Namespace	/namespace	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	34	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	35	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	36	Adobe	Adobe	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	37	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	38	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	39	InDesign	InDesign	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	40	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	41	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	42	4.0	4.0	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	43	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	44	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	45	/OmitPlacedBitmaps	/OmitPlacedBitmaps	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	46	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	47	/OmitPlacedEPS	/OmitPlacedEPS	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	48	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	49	/OmitPlacedPDF	/OmitPlacedPDF	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	50	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	51	/SimulateOverprint	/SimulateOverprint	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	52	/Legacy	/Legacy	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	53	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	54	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	55	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	56	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	57	/AddBleedMarks	/AddBleedMarks	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	58	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	59	/AddColorBars	/AddColorBars	:
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	60	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	61	/AddCropMarks	/AddCropMarks	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	62	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	63	/AddPageInfo	/AddPageInfo	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	64	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	65	/AddRegMarks	/AddRegMarks	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	66	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	67	/ConvertColors	/convertcolors	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	68	/NoConversion	/NoConversion	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	69	/DestinationProfileName	/DestinationProfileName	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	70	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	71	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	72	/DestinationProfileSelector	/DestinationProfileSelector	NFP
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	73	/NA	/NA	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	74	/Downsample16BitImages	/Downsample16BitImages	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	75	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	76	/FlattenerPreset	/FlattenerPreset	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	77	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	78	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	79	/PresetSelector	/presetselector	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	80	/MediumResolution	/MediumResolution	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	81	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	82	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	83	/FormElements	/formelement	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	84	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	85	/GenerateStructure	/generatestructure	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	86	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	87	/IncludeBookmarks	/IncludeBookmarks	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	88	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	89	/IncludeHyperlinks	/includehyperlinks	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	90	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	91	/IncludeInteractive	/includeinteractive	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	92	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	93	/IncludeLayers	/IncludeLayers	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	94	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	95	/IncludeProfiles	/IncludeProfiles	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	96	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	97	/MultimediaHandling	/multimediahandling	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	98	/UseObjectSettings	/UseObjectSettings	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	99	/Namespace	/Namespace	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	100	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	101	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	102	Adobe	Adobe	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	103	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	104	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	105	CreativeSuite	CreativeSuite	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	106	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	107	(	(	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	108	2.0	2.0	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	109	)	)	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	110	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	111	/PDFXOutputIntentProfileSelector	/pdfxoutputintentprofileselector	NN
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	112	/NA	/NA	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	113	/PreserveEditing	/preserveedite	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	114	true	true	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	115	/UntaggedCMYKHandling	/untaggedcmykhandling	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	116	/LeaveUntagged	/leaveuntagged	PRP$
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	117	/UntaggedRGBHandling	/untaggedrgbhandle	VBG
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	118	/LeaveUntagged	/leaveuntagged	UH
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	119	/UseDocumentBleed	/UseDocumentBleed	,
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	120	false	false	JJ
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	121	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	122	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	123	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	124	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	125	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	126	setdistillerparams	setdistillerparam	NNS
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	127	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	128	<	<	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	129	/HWResolution	/HWResolution	NNP
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	130	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	131	2400	2400	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	132	2400	2400	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	133	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	134	/PageSize	/PageSize	.
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	135	[	[	-LRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	136	612.000	612.000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	137	792.000	792.000	CD
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	138	]	]	-RRB-
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	139	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	140	>	>	XX
work_d6kjnyqzwjcgzjuphidi4rvpvu	480	141	setpagedevice	setpagedevice	NN