bigram

This is a table of type bigram and their frequencies. Use it to search & browse the list to learn more about your study carrel.

bigram	frequency
deep learning	402
neural networks	308
convolutional neural	266
machine learning	260
ray images	225
neural network	218
transfer learning	134
ct images	104
cnn model	90
deep convolutional	87
object detection	83
chest ct	77
data set	73
social media	72
immune repertoire	72
feature maps	68
attention mechanism	68
deep neural	68
image classification	68
artificial intelligence	68
classification accuracy	65
copyright holder	64
granted medrxiv	63
author funder	63
coronavirus disease	63
version posted	62
cnn models	59
proposed cnn	58
proposed method	57
modern hopfield	57
cnn architecture	57
proposed model	57
using deep	56
cnn architectures	56
ml based	56
learning algorithms	54
frequency domain	53
social distancing	52
learning rate	52
trained models	51
learning models	50
repertoire classification	50
novel coronavirus	50
learning methods	50
hopfield networks	49
computer vision	48
classification performance	47
breast cancer	47
images using	46
convolutional layers	46
feature extraction	46
domain images	46
feature selection	45
made available	44
international license	44
training data	42
confusion matrix	41
learning model	41
test data	40
data augmentation	40
learning approach	39
mr images	39
posted november	39
batch size	39
immunosequencing data	38
support vector	37
homology modelling	37
results obtained	37
fully connected	37
implanted signals	36
large number	35
cmv dataset	34
cell receptor	34
medrxiv preprint	34
cord uid	34
ct scan	34
detect covid	34
doc id	34
gesture recognition	34
grid search	34
training set	34
rician noise	33
latent space	33
ct scans	33
training dataset	32
input object	32
medical image	32
activation function	32
image analysis	32
world data	32
image recognition	31
spiral drawings	31
input data	31
fold cross	31
learning algorithm	31
experimental results	31
word embeddings	31
test set	31
hyperparameter search	30
two different	30
immune status	30
see table	29
validation set	28
table shows	28
sequence embedding	28
feature map	28
medical images	27
proposed system	27
nar tweets	27
deep features	27
input image	27
update rule	26
immune receptor	26
artificial neural	26
performed using	26
detection using	26
pattern recognition	25
batch normalization	25
instance learning	25
classification using	25
proposed approach	25
models using	25
bibliometric analysis	25
peer review	25
convolutional networks	25
multiple instance	25
cxr images	25
feature extractor	24
generic models	24
medical imaging	24
predictive performance	24
feature vector	24
total number	24
based sequence	24
high quality	23
cnn based	23
svm classifier	23
benchmark dataset	23
fire module	23
heartbeat segmentation	23
decision tree	23
classification tasks	23
training phase	22
depression detection	22
immune repertoires	22
recurrent neural	22
known motif	22
receptor sequences	22
different types	22
respiratory syndrome	22
convolutional layer	22
simulated immunosequencing	22
word embedding	21
kernel size	21
shape model	21
images obtained	21
standard deviation	21
input images	21
data sets	21
classification models	21
statistically significant	21
positive class	21
acute respiratory	21
semantic segmentation	21
based deep	20
ground truth	20
spatial images	20
burden test	20
implanted motif	20
image segmentation	20
space data	20
early detection	20
false positive	20
feature fusion	20
computational complexity	20
depressed users	20
automatic detection	20
sequence space	20
deep cnn	20
bottle type	19
images used	19
rectified linear	19
input sequences	19
best results	19
connected layers	19
level classifiers	19
publicly available	19
ultrasound images	19
solved structure	19
widely used	19
bounding boxes	19
virtual robot	19
detecting covid	19
image processing	19
wavelet transform	19
see sect	19
large scale	19
better results	19
convolution layer	19
natural language	19
word vec	18
instances per	18
implanted motifs	18
network architectures	18
learning framework	18
level features	18
model achieved	18
learning techniques	18
trained model	18
cnn lstm	18
feature encoder	18
pipeline algorithms	18
solved structures	18
classification model	18
high accuracy	18
generated data	18
custom model	18
logistic regression	18
learning approaches	18
gradient descent	18
overall accuracy	18
immune receptors	18
per bag	18
testing procedures	17
brain image	17
ray image	17
storage capacity	17
local phase	17
vector machines	17
computation time	17
mixed reality	17
binary classification	17
viral pneumonia	17
proposed algorithm	17
feature engineering	16
medical device	16
training images	16
nan doi	16
mr image	16
per repertoire	16
classification algorithms	16
human activity	16
using convolutional	16
imagenet classification	16
specific models	16
image features	16
fight covid	16
pipeline classification	16
sequence length	16
mental health	16
witness rate	16
bacterial pneumonia	16
best accuracy	16
deep transfer	16
earthquake dataset	16
based techniques	16
world health	16
diagnose covid	16
good results	16
vector machine	16
better performance	16
connected layer	15
posted september	15
test dataset	15
based gesture	15
quantum afs	15
aided diagnosis	15
reinforcement learning	15
directed graphs	15
jaccard similarity	15
activity recognition	15
leaky relu	15
attention mechanisms	15
diagnosing covid	15
detection models	15
trained using	15
language processing	15
ray dataset	15
loss function	15
classification task	15
proposed multi	15
results showed	15
text classification	15
scan images	15
true positive	15
negative class	15
spatial domain	15
class repertoires	14
linear unit	14
acral melanoma	14
virus particles	14
term memory	14
image data	14
average accuracy	14
cross validation	14
single shot	14
based devices	14
like attention	14
computational cost	14
scale image	14
layered cnn	14
authors declare	14
ct image	14
recognition using	14
pooling layer	14
training time	14
mil problems	14
first training	14
second training	14
ct data	14
results show	14
extract features	14
early stopping	14
calculated using	14
medical devices	14
instance segmentation	14
infected patients	14
feature cube	14
residual learning	14
attention weights	14
recognition system	14
network architecture	14
long short	14
computed tomography	14
positive covid	14
italy earthquake	14
convolution layers	14
signal processing	14
using frequency	14
acquired pneumonia	14
attention values	14
first transformation	13
next step	13
protein sequence	13
optimization problem	13
data mining	13
pneumonia cases	13
experimental group	13
model using	13
political manifestos	13
engineered features	13
public health	13
augmented reality	13
cases using	13
marine predators	13
lstm model	13
level classifier	13
three different	13
health organization	13
two datasets	13
early diagnosis	13
confirmed cases	13
deep feature	13
systematic review	13
resource tweets	13
raw data	13
data collection	13
automated detection	13
severe acute	13
extracted features	13
feature vectors	13
open source	13
sensitivity recall	13
even though	13
significant difference	13
based systems	13
benchmark datasets	13
corona virus	13
using ct	13
user interface	13
false negative	13
case study	13
cnn ii	12
hand gesture	12
future research	12
diagnostic accuracy	12
pooling functions	12
imagenet dataset	12
hopfield network	12
sequence position	12
dataset used	12
gold standard	12
world immunosequencing	12
transformer attention	12
homology models	12
sequences per	12
feature extractors	12
learning convolutional	12
minmax kernel	12
radiography images	12
feature cnns	12
anomaly detection	12
initial learning	12
diagnostic tool	12
predators algorithm	12
learning architectures	12
deeprc model	12
international conference	12
trained cnn	12
original image	12
dataset arrangement	12
cnn kernels	12
convolution neural	12
based model	12
stereo matching	12
chest radiography	12
manifestos project	12
real time	12
performance evaluation	12
normal cases	12
full hyperparameter	12
implanted signal	12
average auc	12
based approach	12
ct findings	12
next section	12
magnetic resonance	12
ssd mobilenet	12
learning system	12
video surveillance	12
gpu acceleration	12
activation functions	12
features extracted	12
intensive care	12
bottle types	12
genetic algorithm	12
context information	12
data acquisition	12
modal features	12
deep residual	12
section presents	12
activation maps	12
method using	11
point cloud	11
reuse allowed	11
similarity coefficient	11
diagnostic tools	11
pcr testing	11
early stage	11
automated validation	11
ray datasets	11
allowed without	11
complex wavelet	11
classification results	11
based algorithm	11
resnet backbone	11
weight decay	11
using cnn	11
models used	11
different datasets	11
dimensional space	11
ai ml	11
model based	11
adam optimizer	11
skip connections	11
cnn i	11
real robot	11
genetic distance	11
one hand	11
computational time	11
nan sha	11
computing platform	11
rights reserved	11
using spatial	11
proposed architecture	11
visual recognition	11
average pooling	11
fitness function	11
dermoscopy images	11
user behaviour	11
dictionary learning	11
test sets	11
stress detection	11
object detectors	11
without permission	11
authors used	11
fusion operation	11
image patches	11
image samples	11
automatic classification	11
press briefings	11
model size	11
real data	11
bounding box	11
differential evolution	11
average classification	11
competing methods	11
point clouds	11
distancing monitoring	11
class activation	11
fewer parameters	11
stress state	11
using multi	11
breast cancers	11
first level	11
semantic information	11
value ranges	10
tensorflow object	10
receptor repertoires	10
classification problem	10
images covid	10
future work	10
novel deep	10
social networks	10
based walk	10
classify covid	10
deep networks	10
sequence positions	10
mental illness	10
based algorithms	10
also used	10
integrated gradients	10
true negative	10
main paper	10
sequence motifs	10
obtained using	10
region based	10
confirmed covid	10
first step	10
data analysis	10
accurate diagnosis	10
dnn framework	10
deviations across	10
generative adversarial	10
second level	10
standard deviations	10
cxr scans	10
gpu memory	10
performance metrics	10
object recognition	10
obtained without	10
validation folds	10
italian dataset	10
detection api	10
existing methods	10
axial brain	10
confounding factors	10
regularization techniques	10
small number	10
comparative study	10
mil problem	10
data used	10
batch sizes	10
softmax function	10
proposed models	10
per sequence	10
computational resources	10
different sizes	10
correctly classified	10
nih chest	10
based method	10
auc values	10
lstm network	10
aa sequences	10
wet lab	10
networks deep	10
nearest neighbor	10
proposed deep	10
covid class	10
image reconstruction	10
best performing	10
boosted efficientnet	9
region proposal	9
decision support	9
best performance	9
approach based	9
linear units	9
novel method	9
stochastic gradient	9
influenza virus	9
local features	9
online social	9
tree classifier	9
recognition deep	9
applying dt	9
based cnn	9
smart city	9
backbone network	9
preprocessing techniques	9
learning based	9
pooling function	9
downsampling scale	9
surface matching	9
utilizing transfer	9
images utilizing	9
naive bayes	9
healthy subjects	9
packaging type	9
image sizes	9
without using	9
clinical effects	9
infection detection	9
auc score	9
input sequence	9
synthetic data	9
eye view	9
results indicated	9
may also	9
ieee conference	9
chain reaction	9
sample size	9
icu scenario	9
processing unit	9
limited number	9
nepal earthquake	9
using lbp	9
action recognition	9
best result	9
three classes	9
fs method	9
sta lta	9
specific volume	9
polymerase chain	9
baseline approach	9
good quality	9
previously described	9
vanishing gradient	9
weight updates	9
training process	9
united states	9
generic model	9
correctly identified	9
fighting covid	9
hidden layers	9
medical staff	9
vigilance detection	9
high performance	9
patients using	9
using chest	9
ais data	9
detection model	9
heartbeat classification	9
untaught subjects	9
model performance	9
based denoising	9
positive rate	9
lstm layer	9
shallow resnet	9
reconstructed ancestral	9
better accuracy	9
robot programming	9
technical parameters	9
segmentation network	9
specific number	9
search space	9
type specific	8
optimization method	8
immune system	8
two parts	8
local binary	8
walk engine	8
entirely agree	8
two main	8
study results	8
literature studies	8
separable convolutions	8
method based	8
result obtained	8
learning strategy	8
floating point	8
see ramsauer	8
image enhancement	8
classification approach	8
real world	8
fs methods	8
cnn network	8
mental stress	8
time object	8
glass opacities	8
pick disease	8
relevant features	8
related work	8
selection algorithm	8
new approach	8
analysis methods	8
computational power	8
random forest	8
high classification	8
large dataset	8
tree complex	8
bibliographic coupling	8
stress status	8
word vectors	8
syndrome coronavirus	8
knee image	8
solved rdrp	8
pooling operation	8
viral infection	8
tweets related	8
motif implantation	8
attention heads	8
classify breast	8
two classes	8
supervised learning	8
present work	8
fmcw radar	8
robot poses	8
threshold value	8
mri images	8
low witness	8
second step	8
ancestral sequences	8
mer representation	8
input layer	8
directed graph	8
heart rate	8
physiological signals	8
deeprc outperforms	8
based object	8
proposed framework	8
incorrectly classified	8
class label	8
uniform distribution	8
proposed within	8
hidden layer	8
texture evolution	8
icu staff	8
posted may	8
patients infected	8
representation learning	8
immunosequencing datasets	8
respective value	8
baseline methods	8
recent years	8
simple bypass	8
specific features	8
feature representation	8
extremely low	8
clinical data	8
random forests	8
vector space	8
drawings benchmark	8
resolution images	8
lymph node	8
clinical practice	8
original cxr	8
proposed quantum	8
segmented lungs	8
first two	8
expert knowledge	8
many patterns	8
fourier transform	8
disparity estimation	8
generalization ability	8
tailored deep	8
linear regression	8
highest accuracy	8
adversarial networks	8
receptor repertoire	8
articulated shape	8
section describes	8
bayesian optimization	8
provided dataset	8
aa motif	8
smart cities	8
large set	8
modalities attribute	8
image dataset	8
network design	8
compared methods	8
depthwise separable	8
settings used	8
medical diagnosis	8
cnn classifier	8
shallow cnn	8
shot object	8
creative commons	8
structure gap	7
support system	7
detection based	7
gated recurrent	7
digital pathology	7
resnet model	7
also known	7
strong evidence	7
political texts	7
method called	7
average performance	7
based learning	7
using pre	7
group within	7
sweet spots	7
three fully	7
ancestral sequence	7
prediction models	7
learning deep	7
reduce overfitting	7
net architecture	7
distance matrix	7
speech recognition	7
depression symptoms	7
joint angles	7
breast ultrasound	7
promising results	7
point values	7
inception modules	7
prediction model	7
network parameters	7
first cnn	7
small resolution	7
hybrid model	7
evaluation metrics	7
classification methods	7
positional features	7
novel quantum	7
swarm optimization	7
art cnn	7
deep resnet	7
mostly agree	7
turn behavior	7
high level	7
middle east	7
going deeper	7
learning classifiers	7
two novel	7
basic efficientnet	7
quality range	7
image datasets	7
microsoft hololens	7
learned behavior	7
execution time	7
particle swarm	7
large amount	7
industrial ct	7
better understanding	7
psychological stress	7
optimization algorithm	7
image resolution	7
roc curve	7
network model	7
rpcam datasets	7
user tweets	7
filter size	7
literature review	7
virus disease	7
classification network	7
data using	7
object detector	7
recent work	7
using different	7
vision tasks	7
image obtained	7
industrial robots	7
zero transformation	7
stochastic optimization	7
commonly used	7
disease type	7
angular speed	7
convolutional network	7
denoising algorithm	7
complex cholesterol	7
class classification	7
training sets	7
positive patients	7
convolution process	7
inception architecture	7
every measurement	7
four different	7
gb ram	7
gradient problem	7
mnist data	7
fc layer	7
core i	7
another important	7
morphometric analysis	7
three types	7
medical data	7
learning covid	7
objective function	7
feature cnn	7
quality model	7
stress classification	7
medical diagnoses	7
pipeline algorithm	7
high computational	7
sustainable smart	7
root mean	7
recognition challenge	7
fully convolutional	7
infectious disease	7
calibrated generic	7
political science	7
product group	7
multiclass classification	7
radar system	7
target pairs	7
scale feature	7
desired properties	7
heartbeat context	7
section concludes	7
arrhythmia detection	7
clinical features	7
encoder cnn	7
also showed	7
new data	7
wearable devices	7
fitness value	7
data points	7
pooling layers	7
model outperforms	7
clinical environment	7
significance level	7
output layer	7
test persons	7
east respiratory	7
lung cancer	7
blue indicating	6
authors also	6
natural cds	6
acute stress	6
joseph cohen	6
positive contribution	6
softmax activation	6
undersampling rates	6
deeprc uses	6
associative memory	6
rank minimization	6
deeprc models	6
input size	6
top layers	6
hybrid deep	6
four categories	6
simulated datasets	6
selection algorithms	6
disaster datasets	6
detecting depression	6
automotive radar	6
deep bidirectional	6
light cnn	6
sparse mr	6
traditional relu	6
handwritten digits	6
cxr image	6
test datasets	6
performs well	6
features using	6
emotiv epoc	6
mnist benchmark	6
knn classifiers	6
gaussian noise	6
automatic validation	6
features per	6
quantitative results	6
cancer using	6
mil datasets	6
qualitative results	6
compressed sensing	6
lstm blocks	6
learning using	6
jaccard kernel	6
randomly altered	6
learning technique	6
max pooling	6
intel core	6
spatial resolution	6
cnn framework	6
input objects	6
operating characteristic	6
wise classification	6
gut microbiota	6
reported errors	6
section vii	6
imaginary parts	6
nearest neighbour	6
hl sub	6
repertoires per	6
current status	6
clinical characteristics	6
contribution analysis	6
different models	6
two models	6
tcr sequences	6
metastable state	6
cnn trained	6
selected features	6
jurisdictional claims	6
also called	6
decision making	6
time required	6
com scientificreports	6
scale visual	6
input gate	6
negative contribution	6
histopathological images	6
statistical significance	6
repertoire sequences	6
indicating negative	6
positive cases	6
main focus	6
temporal features	6
fold cv	6
beat intervals	6
high sensitivity	6
ct imaging	6
implemented using	6
random undersampling	6
following thresholds	6
th sequence	6
malignant cases	6
cancer detection	6
randomly sampled	6
larger characters	6
table presents	6
relevance propagation	6
binary pattern	6
expanding section	6
pneumonia detection	6
rate variability	6
four classes	6
sequence abundance	6
social stress	6
health care	6
model selection	6
springer nature	6
indicating positive	6
well separated	6
level engineered	6
tuned pre	6
brain tumors	6
high speed	6
recorded data	6
cancer classification	6
learning architecture	6
rays using	6
north america	6
pixel intensity	6
digital images	6
raw signals	6
autonomous driving	6
regression model	6
product name	6
patch based	6
imaging techniques	6
new cnn	6
ground glass	6
classification algorithm	6
note springer	6
high undersampling	6
product data	6
continuous learning	6
text categorization	6
wildcard characters	6
perspective view	6
shows examples	6
training loss	6
two methods	6
informative features	6
many studies	6
higher contribution	6
institutional affiliations	6
mpa algorithm	6
kingma ba	6
disease using	6
health problems	6
excellent performance	6
imagenet large	6
small fraction	6
amino acid	6
contribution towards	6
single image	6
rna viruses	6
sparse representation	6
best classification	6
processing time	6
classification time	6
wise relevance	6
semantic space	6
using two	6
transformer architectures	6
inner validation	6
fourier domain	6
centroid nearest	6
word vector	6
closely related	6
dataset category	6
lung us	6
stacked convolutional	6
nature remains	6
noise corrupted	6
exponentially many	6
generic classification	6
model achieves	6
cnn iii	6
weibull distribution	6
ml algorithms	6
wearable sensors	6
better classification	6
limited availability	6
mean square	6
exponential storage	6
spam tweets	6
complex bypass	6
good performance	6
point sets	6
framework using	6
political discourse	6
randomly selected	6
last layer	6
regularization technique	6
higher accuracy	6
also shows	6
evolution optimization	6
classification based	6
emergency situations	6
bit floating	6
split resnet	6
material properties	6
brain tumor	6
building block	6
noisy motifs	6
medical applications	6
control modes	6
fixed point	6
specific classification	6
relu activation	6
using local	6
long term	6
data size	6
mobile devices	6
deeprc furthermore	6
apply ig	6
second best	6
simple cnn	6
input features	6
healthy cases	6
whole pcxr	6
ten images	6
zf reconstruction	6
quantitative performance	6
different images	6
cxr data	6
cv folds	6
novel anti	6
situational information	6
fold undersampling	6
datasets used	6
remains neutral	6
indicate higher	6
single ct	6
deep repertoire	6
recognition based	6
lipid rafts	6
viral compounds	6
morphing behavior	6
network models	6
high resolution	6
gesture classification	6
discriminative features	6
world cmv	6
high contributions	6
validation loss	6
aoa information	6
regression branch	6
retrieve exponentially	6
proposed denoising	6
cwt operations	6
vision applications	6
important features	6
evaluation results	6
developing countries	6
zhao dataset	6
published maps	6
success rates	6
red indicating	6
dataset contains	6
cnn networks	6
sizes given	6
will also	6
commons license	6
feature detectors	6
higher sensitivity	6
rfcn resnet	6
relatively small	6
receptor sequence	6
learning method	6
imjin thottimvirus	6
many countries	6
cmv status	6
adaptive immune	6
based methods	6
trained deeprc	6
ram gb	6
ancestral rdrp	6
qrs detection	6
observed immune	6
one image	6
tasks involved	6
bypass configuration	6
trained weights	6
achieved high	6
lung infection	6
antiviral activities	6
stress states	6
competing interests	6
category simulated	6
current state	6
based covid	6
recognition tasks	6
reverse transcriptase	6
classical approaches	5
adversarial network	5
academic databases	5
protein structure	5
detection results	5
immune response	5
distress syndrome	5
depth sensor	5
inverted residual	5
architecture called	5
chest radiographs	5
based image	5
restricted boltzmann	5
network based	5
eeg data	5
phase image	5
robot model	5
control concept	5
quality models	5
accuracy rate	5
boltzmann machines	5
learning setup	5
receptive field	5
selection method	5
regulatory requirements	5
mg kg	5
based convolutional	5
algorithm using	5
semantic features	5
based analysis	5
ray imaging	5
drug administration	5
learning problems	5
dataset consists	5
basic coding	5
based human	5
different sub	5
github repository	5
automated diagnosis	5
alzheimer disease	5
square deviation	5
disease control	5
images comprising	5
evaluation dataset	5
qrelu led	5
original images	5
blood samples	5
trained convolutional	5
resource needs	5
learning applications	5
bacterial infection	5
sustainable development	5
using pytorch	5
well known	5
crucial role	5
receive antenna	5
datasets differ	5
ventricular puncture	5
based models	5
handwritten digit	5
based detection	5
randomly assigned	5
two proposed	5
detect depression	5
dropout layer	5
method achieves	5
synthetic disparity	5
face recognition	5
significant compared	5
viral infections	5
negative values	5
visual feature	5
recognition performance	5
novel covid	5
will need	5
diagnosis tool	5
medical ct	5
using standard	5
two quantum	5
perspective transformation	5
larger number	5
geographic features	5
dependent rna	5
alarm rates	5
classifying covid	5
also includes	5
output data	5
used two	5
imaginary part	5
visual features	5
space measurements	5
relevant hashtags	5
pool layer	5
two types	5
table show	5
processing steps	5
video frames	5
proposed afs	5
squeezenet without	5
high precision	5
random values	5
lung region	5
real part	5
different cnn	5
cholesterol accumulation	5
normal chest	5
large images	5
computer tomography	5
applied machine	5
covid viral	5
human action	5
amino acids	5
i represents	5
short time	5
indicates good	5
forget gate	5
toe joints	5
reverse transcription	5
diagnosis system	5
manually annotated	5
final prediction	5
i denotes	5
humanitarian organizations	5
algorithm based	5
cell types	5
hot spots	5
allows us	5
visual explanations	5
computer science	5
visual quality	5
frequency interval	5
accuracy measures	5
per class	5
explicit heartbeat	5
diagnosis using	5
first case	5
overfitting problem	5
maximum pooling	5
indicates poor	5
ai system	5
annotated political	5
detailed information	5
monitoring system	5
trainable parameters	5
benign cases	5
disease caused	5
preprocessing steps	5
noise level	5
highest auc	5
using one	5
rd spectrum	5
original features	5
expert group	5
recent advances	5
trained word	5
gtx ti	5
per second	5
max pool	5
detection rate	5
mean cnn	5
cost function	5
improving neural	5
samples dataset	5
clinically relevant	5
skin cancer	5
researchers propose	5
several state	5
current situation	5
available data	5
prediction results	5
single update	5
resonance imaging	5
fine tuning	5
negative rate	5
rocuronium bromide	5
cyclic oligosaccharides	5
operating room	5
work well	5
residual connections	5
fusion operations	5
rich feature	5
virus infection	5
discriminant features	5
infectious diseases	5
different levels	5
global health	5
two steps	5
cell receptors	5
cd derivatives	5
authors propose	5
test kits	5
briefings corpus	5
dnn output	5
values across	5
healthcare system	5
collected data	5
resource consumption	5
labeled data	5
receiver operating	5
active drugs	5
imagenet database	5
quantitative analysis	5
public dataset	5
mpa approach	5
information retrieval	5
preventing co	5
based framework	5
squeezenet based	5
detection accuracy	5
yield better	5
age group	5
model performs	5
main contributions	5
lung infections	5
two dimensions	5
available datasets	5
class instance	5
rdrp structure	5
radiological imaging	5
activation mapping	5
patch images	5
supervised machine	5
three dimensional	5
second dataset	5
networks convolutional	5
squeezenet cnn	5
uci spiral	5
health monitoring	5
small dataset	5
filter sizes	5
symptom onset	5
network learning	5
information processing	5
depth stream	5
quantum relu	5
classification outcomes	5
analysis using	5
path planning	5
coronavirus outbreak	5
respiratory distress	5
input dimension	5
see section	5
objective differential	5
data will	5
provide information	5
model training	5
may lead	5
worth noting	5
weighted average	5
mouse model	5
disease diagnosis	5
different pre	5
results also	5
latent features	5
detailed results	5
proposed qrelu	5
structure exists	5
learning classifier	5
class tweets	5
proposed fo	5
see also	5
kaggle spiral	5
applying lbp	5
national institutes	5
computationally efficient	5
based system	5
pick type	5
basic features	5
based classification	5
softmax layer	5
eeg signals	5
level classification	5
end workstation	5
test procedures	5
learned features	5
reconstruction time	5
template pairs	5
device traces	5
ecg data	5
user timeline	5
computer aided	5
spatial image	5
based diagnosis	5
normalization layer	5
much better	5
resnet achieved	5
based feature	5
backbone yielded	5
significant features	5
rhine artificial	5
accuracy parameter	5
relatively high	5
based approaches	5
layer cnn	5
earthquake datasets	5
infected cells	5
second cnn	5
bias effects	5
images based	5
original squeezenet	5
performance compared	5
matching approach	5
statistical significances	5
ng ml	5
center cropping	5
walk behavior	5
images corrupted	5
currently used	5
different numbers	5
channel feature	5
relu afs	5
disparity map	5
word representations	5
study showed	5
algorithms based	5
system using	5
generated content	5
model parameters	5
optimization algorithms	5
portable chest	5
cnn approach	5
important information	5
beat interval	5
using adam	5
activation mappings	5
validation approach	5
deep bayes	5
community acquired	5
operation compared	5
mass video	5
processing strategies	5
probability distribution	5
density lipoprotein	5
decision makers	5
cnn designs	5
large datasets	5
class svm	5
lung ct	5
feature importance	5
screen coronavirus	5
novel cnn	5
order marine	5
section iii	5
testing datasets	5
specific model	4
neural nets	4
last column	4
massive multiple	4
across individuals	4
depth map	4
used directly	4
networks via	4
structure determination	4
iou metric	4
detect depressed	4
detailed derivation	4
two pipeline	4
heat map	4
radar sensors	4
antibody repertoires	4
confusion matrices	4
small datasets	4
camera images	4
meaningful features	4
biomedical image	4
slightly better	4
following metrics	4
many researchers	4
validation step	4
level labels	4
random center	4
sigmoid function	4
standard afs	4
dense associative	4
experiments performed	4
may occur	4
results achieved	4
behind using	4
computational efficiency	4
first time	4
transmission electron	4
online reconstruction	4
cnn method	4
dengue virus	4
either use	4
model quality	4
heartbeat feature	4
another interesting	4
expensive gpus	4
inference time	4
start time	4
repertoire sequencing	4
common ancestor	4
two convolutional	4
latent dirichlet	4
infection cases	4
fourth pipeline	4
full grid	4
fixed query	4
stressed images	4
remote sensing	4
healthcare workers	4
gram features	4
first experiment	4
calibration samples	4
combat covid	4
pilot study	4
companion paper	4
bottom layers	4
reached properties	4
specific value	4
using existing	4
parameters used	4
learning community	4
total detections	4
burden score	4
various features	4
expert annotated	4
spatial information	4
severe covid	4
hyperparameter combinations	4
evaluation data	4
groundtruth heartbeat	4
ai help	4
vivo knee	4
healthcare professionals	4
gabor wavelet	4
based mil	4
true gestures	4
contextualized word	4
three categories	4
long time	4
classification method	4
successfully used	4
recent studies	4
testing set	4
authors proposed	4
care units	4
work surface	4
denoising model	4
affect detection	4
extract patterns	4
language understanding	4
morphometric parameters	4
just one	4
biomedical signals	4
showed better	4
networks classification	4
learning analysis	4
new type	4
trained validated	4
muscle cells	4
levandowsky winter	4
working environment	4
linear activation	4
step size	4
personal relationships	4
recognition method	4
validation procedure	4
disaster events	4
reference sequences	4
massive number	4
italian society	4
two attributes	4
domain features	4
sparse coding	4
available machine	4
learned walk	4
motif recognition	4
entropy loss	4
higher computational	4
significant role	4
without batch	4
learning machine	4
vector arithmetic	4
active learning	4
perfect predictive	4
word representation	4
different perspective	4
positive segmentations	4
become increasingly	4
average precision	4
related information	4
human beings	4
general intelligence	4
global average	4
improved results	4
actual case	4
efficient pre	4
quality assessment	4
original data	4
pipeline approaches	4
certain number	4
different set	4
processing step	4
learning stage	4
automatically detect	4
training epochs	4
beta value	4
trained deep	4
proposal network	4
dropout value	4
diagnostic tasks	4
human shape	4
event detection	4
shorter sequences	4
deeprc allows	4
pooling block	4
aa motifs	4
proposed solution	4
discriminative localization	4
equal probability	4
healthy images	4
generally better	4
one signal	4
large corpus	4
computational demands	4
incorrectly predicted	4
classification error	4
proposal networks	4
image patch	4
new model	4
data classification	4
annotated sentences	4
st column	4
segmentation using	4
health system	4
networks automatic	4
generative models	4
weight penalty	4
based fs	4
gap locations	4
approach proves	4
sequencing data	4
first position	4
vector networks	4
vector representations	4
mil method	4
randomly chosen	4
per individual	4
representations rather	4
several deep	4
medical resources	4
deep contextualized	4
node metastases	4
chronic stress	4
second experiment	4
noise ratio	4
auxiliary classifier	4
done using	4
shelf cnn	4
logistic mil	4
using social	4
added capability	4
ppg signal	4
trier social	4
detection system	4
also referred	4
single fixed	4
feature learning	4
social network	4
disaster relief	4
use simulated	4
constructing immune	4
motif cas	4
using segmented	4
ray crystallography	4
two categories	4
correct detections	4
global accuracy	4
novel framework	4
ultrasound dataset	4
accuracy respectively	4
time interval	4
receive antennas	4
proposed custom	4
dataset consisting	4
achieves better	4
world coordinates	4
financial interests	4
three subjects	4
approach using	4
dnn analysis	4
end laptot	4
predictive power	4
image quality	4
coronavirus pneumonia	4
art deep	4
pcr test	4
aid radiologists	4
using transfer	4
antigen binding	4
stopping parameter	4
exhaustive cnn	4
bidirectional transformers	4
accurate results	4
computational methods	4
use cases	4
directly fed	4
level computer	4
forward walk	4
correctly classify	4
motif ldr	4
two cases	4
high dimensional	4
wide variety	4
nested cross	4
learning mode	4
models produced	4
without applying	4
different networks	4
two region	4
based features	4
cross entropy	4
operating system	4
antigen specificity	4
one major	4
based nanosponges	4
score per	4
semantic meaning	4
performance results	4
imaging data	4
images incorrectly	4
deep cnns	4
attention network	4
features automatically	4
immunodeficiency virus	4
exponential linear	4
validation error	4
current methods	4
hyperparameter selection	4
processing techniques	4
call cnn	4
tissue culture	4
creation process	4
stage process	4
empirical evaluation	4
using artificial	4
frontline physicians	4
predict covid	4
computational effort	4
reconstruction loss	4
supervised deep	4
document recognition	4
high visual	4
related patterns	4
model reacts	4
brain mr	4
analysis method	4
previous work	4
called inception	4
knn classifier	4
targeted immunisation	4
multilayer perceptron	4
resnet architectures	4
skin lesions	4
graphics processing	4
new feature	4
auc estimates	4
classification scenarios	4
unknown cmv	4
highest results	4
squeeze convolution	4
randomly drawing	4
world dataset	4
brightfield images	4
parkinson disease	4
topic modelling	4
complex sequences	4
sequence data	4
mobile vision	4
catheter tracking	4
also recurrent	4
continuously learning	4
normal distribution	4
modelling may	4
existing systems	4
custom fire	4
using machine	4
first folds	4
chest covid	4
accuracy compared	4
varying degree	4
comprehensive survey	4
disease pneumonia	4
similar objects	4
critical image	4
training datasets	4
ibi data	4
transformer networks	4
furthermore allows	4
size feature	4
two data	4
trained network	4
will use	4
bone marrow	4
every epochs	4
folds except	4
relu layers	4
improve performance	4
embedding space	4
using data	4
contained approximately	4
relevant data	4
similar components	4
classifier using	4
descent using	4
intelligence symposium	4
also uses	4
human experts	4
diseased class	4
art styles	4
gesture detector	4
available dataset	4
similarity coefficients	4
sensitive design	4
experimentally obtained	4
information loss	4
used data	4
used cnn	4
several studies	4
significantly improve	4
four test	4
tiny objects	4
convolution operation	4
lab tests	4
pulmonary nodules	4
pandemic circumstances	4
analysis showed	4
cholesterol efflux	4
average length	4
amplitude interval	4
poor performance	4
burden set	4
extracted motifs	4
undersampling schemes	4
one might	4
considerable attention	4
eco marathon	4
predicting covid	4
overall higher	4
computing power	4
value vectors	4
multibox detector	4
automated covid	4
row vector	4
every year	4
deeper architectures	4
left side	4
experiments carried	4
art models	4
ecg classification	4
also applied	4
output gate	4
obtained results	4
critical applications	4
gb memory	4
vgg model	4
output image	4
near future	4
complex features	4
critical analysis	4
best method	4
sequence taken	4
point close	4
correctly detected	4
based processing	4
ablation studies	4
parameter sharing	4
also proposed	4
hot vector	4
relu function	4
different variations	4
cpu intel	4
increased gpu	4
generated repertoire	4
process path	4
various applications	4
intended use	4
published works	4
sensitivity parameter	4
classification problems	4
multiple images	4
tcr repertoire	4
us scans	4
performs heartbeat	4
suggested machine	4
table summarizes	4
interpretability methods	4
learn word	4
quantum computing	4
text corpus	4
th column	4
using several	4
towards real	4
stem cells	4
rd spectrums	4
validation fold	4
exploding gradient	4
train deeprc	4
ablation experiments	4
accurate model	4
second arrangement	4
human immune	4
vitro testing	4
detect pedestrians	4
additional information	4
timeline posts	4
hubei province	4
virus spread	4
relevant information	4
great success	4
detection method	4
search procedure	4
implant signals	4
numerical stability	4
phylogenetic trees	4
monocular camera	4
clinical impact	4
first layer	4
frame contained	4
discriminating regions	4
classification branch	4
two forms	4
fire modules	4
learning tasks	4
two point	4
rule eq	4
edge detection	4
motifs indicate	4
categories simulated	4
fold random	4
gpu nvidia	4
relu layer	4
difficult task	4
context dependencies	4
term dependencies	4
dirichlet allocation	4
image database	4
efficient convolutional	4
diseased individuals	4
gaussian mixture	4
convolution operations	4
approximately cells	4
random lengths	4
inner products	4
reliable screening	4
svm classifiers	4
care unit	4
dual tree	4
based medical	4
total amount	4
glass opacity	4
fused features	4
among others	4
using detrac	4
com ml	4
show standard	4
guided stereo	4
visual object	4
monitoring social	4
social mimic	4
tensorflow backend	4
fuzzy color	4
making use	4
attention softmax	4
feature i	4
rna polymerase	4
query vector	4
relu af	4
detection methods	4
practical applications	4
surveillance system	4
main contribution	4
late fusion	4
sample sizes	4
table homology	4
gross weight	4
content analysis	4
using integrated	4
local means	4
vaccine development	4
radar signal	4
billion sequences	4
specific class	4
overall sensitivity	4
long window	4
given disease	4
interactable components	4
sentence classification	4
using modern	4
classified covid	4
doppler information	4
using matlab	4
approach achieved	4
property loss	4
identify aa	4
corresponding hyperparameter	4
auxiliary targets	4
one update	4
seven benchmark	4
smaller experimental	4
different classes	4
implantation probabilities	4
pascal voc	4
adaptive optimization	4
memory requirements	4
scaling factor	4
textual features	4
jku deeprc	4
overall performance	4
accurate deep	4
temporal information	4
cnn training	4
datasets considered	4
images dataset	4
diagnostic method	4
proposed methodology	4
model shows	4
instance multi	4
following equation	4
contact lenses	4
research community	4
computational biology	4
per type	4
label learning	4
shot multibox	4
accurate object	4
stress test	4
scalable image	4
readily available	4
ti gpu	4
use one	4
handcrafted feature	4
nvidia geforce	4
results compared	4
human covid	4
wearable stress	4
following sub	4
lstm networks	4
second approach	4
bc masses	4
idea behind	4
building blocks	4
brain mri	4
using receiver	4
product classification	4
generated immunosequencing	4
common bacterial	4
relative abundance	4
relative frequency	4
motif binary	4
massive mil	4
inner training	4
max i	4
fold nested	4
thereby identifying	4
balanced accuracy	4
sensor network	4
mhc complexes	4
rank optimization	4
rtx ti	4
health issues	4
tumor segmentation	4
mock cells	4
detrac deep	4
performed well	4
level feature	4
geforce gtx	4
nearest positive	4
nucleic acid	4
major challenge	4
extracting features	4
sequence encoding	4
dimensional vector	4
automatically defined	4
medical field	4
clinical management	4
small sample	4
ecg signal	4
low level	4
detection task	4
multidimensional scaling	4
band images	4
activity detection	4
iterate eq	4
truth data	4
values obtained	4
average ratio	4
validation method	4
framework based	4
digit recognition	4
cloud computing	4
performs classification	4
chosen patterns	4
normal class	4
much larger	4
implantation probability	4
krotov hopfield	4
nvidia rtx	4
order bunyavirales	4
quality engineers	4
provide details	4
extracts features	4
sequence alignment	4
quality scores	4
signal frequency	4
bayesian method	4
see tab	4
additional features	4
big data	4
estimates based	4
algorithm reconstructs	4
negative cmv	4
classify stress	4
data generated	4
column avg	4
aqueous solutions	4
experimental setting	4
deeper networks	4
learning applied	4
kernel function	4
second part	4
witness rates	4
test subjects	4
called covid	4
human body	4
validation sets	4
study conducted	4
highly correlated	4
automatic identification	4
patient data	4
region pooling	4
mnist classifier	4
source code	4
output network	4
novel detection	4
insufficient data	4
across datasets	4
previous studies	4
learning classification	4
many applications	4
classifier models	4
multiple motifs	4
system based	4
important role	4
negative rt	4
across cross	4
main reason	4
first arrangement	4
random aa	4
disease detection	4
disease class	4
median cnn	4
kaggle chest	4
papers published	4
classification errors	4
highest strength	4
depressed user	4
continuous state	4
final output	4
genetic algorithms	4
feature hierarchies	4
chest radiographic	3
benign nevi	3
distancing violation	3
related data	3
generate images	3
recent published	3
two taught	3
latent topics	3
hybrid classification	3
based real	3
critical appraisal	3
three cnns	3
based programming	3
th point	3
vgg models	3
matrix ba	3
weighted reference	3
order mononegavirales	3
first stage	3
fully automatic	3
gpu exhaustive	3
faster rcnn	3
rapid development	3
enhanced local	3
disease spread	3
epoc headset	3
poor prognosis	3
another study	3
memory blocks	3
images extracted	3
food additives	3
rule induction	3
hil context	3
sentiment analysis	3
different tasks	3
engineered feature	3
genus thottimvirus	3
higher jaccard	3
cyclic oligosaccharide	3
slightly different	3
generic object	3
low accuracy	3
lstm architecture	3
features alone	3
using automated	3
also possible	3
dimensional force	3
numbers given	3
median cnns	3
illumination conditions	3
learning process	3
cholesterol homeostasis	3
segment brain	3
trainingtest data	3
time rt	3
achieved accuracy	3
network trains	3
trained networks	3
treatment methods	3
several features	3
predicting depression	3
pretrained model	3
visual representation	3
learning pipeline	3
recall higher	3
three steps	3
data science	3
homology model	3
dataset included	3
different classifiers	3
improved diagnosis	3
analytical evaluation	3
dying relu	3
side effects	3
clinical trial	3
model also	3
based hand	3
hip yaw	3
one output	3
set images	3
computational model	3
approach presented	3
glycyrrhetinic acid	3
neural computing	3
induced colitis	3
auc parameter	3
correctly predicted	3
undersampling limit	3
performance measure	3
negative users	3
data mixed	3
different genera	3
learning problem	3
first convolutional	3
respiratory diseases	3
lower zone	3
input feature	3
intracellular cholesterol	3
existing models	3
based transfer	3
cnn inception	3
local variance	3
first use	3
scale data	3
trirhenatech alliance	3
critical role	3
turning point	3
deep network	3
beer packaging	3
rgb image	3
head orientation	3
surveillance dataset	3
three main	3
ghz radar	3
foam cells	3
worse results	3
robot systems	3
computation resources	3
networks detecting	3
surveillance framework	3
much information	3
body parts	3
used separately	3
behavioural patterns	3
model pre	3
retrospective study	3
stress level	3
produced using	3
networks date	3
pcr results	3
novel feature	3
recently proposed	3
predictive value	3
following subsections	3
multiclass model	3
marker system	3
smart healthcare	3
viral particles	3
pedestrian detection	3
ecg sequence	3
segmentation tasks	3
tem images	3
place task	3
baseline cnn	3
longitudinal monitoring	3
mcnemar statistical	3
high number	3
scale machine	3
overall classification	3
simian immunodeficiency	3
epidemic areas	3
biased towards	3
classification approaches	3
depth sensors	3
risk assessment	3
accuracy results	3
used three	3
ultrasound image	3
reality based	3
reference genome	3
facilitate small	3
imaging archive	3
significantly reduce	3
seir model	3
diagnostic process	3
also increased	3
individual stress	3
simulation league	3
data needs	3
possible explanation	3
negative effect	3
datasets contain	3
shallow neural	3
segmentation task	3
clinical applications	3
gradient issue	3
sequence i	3
two clusters	3
classifies benign	3
ultrasound benchmark	3
table gives	3
score greater	3
training results	3
random horizontal	3
features obtained	3
learning transferable	3
spine image	3
certain threshold	3
time series	3
limited information	3
lung ultrasound	3
proposed features	3
lung segmentation	3
denoise sparse	3
stacking method	3
global methods	3
viral mutation	3
rapid classification	3
scratch requires	3
existing ones	3
based reconstruction	3
different filter	3
suitable value	3
immunological modulator	3
current gold	3
sampling mask	3
many papers	3
hidden markov	3
selection methods	3
intensity values	3
accuracy value	3
quantitative comparison	3
small negative	3
cnn design	3
broad range	3
parallel computing	3
preprocessing step	3
images date	3
global features	3
vice versa	3
augmentation techniques	3
depth data	3
treat covid	3
currently considered	3
exclusion criteria	3
ml model	3
training tweets	3
intelligence method	3
performance improvement	3
protein sequences	3
transformers like	3
global normalization	3
pascal visual	3
input volume	3
path loss	3
different stages	3
reconstruction using	3
approaches like	3