id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_nyaahrjgj5h4hbe4yk5dmjq6d4	Pietro De Lellis	Using demographics toward efficient data classification in citizen science: a Bayesian approach	2019	18	.pdf	application/pdf	8915	1030	57	applying this approach to an existing citizen science dataset to classify images into Keywords Citizen science, Bayesian estimation, Data classification, Algorithms Using demographics toward efficient data classification in citizen science: in citizen science to accurately estimate reliability of each volunteer with only a few information toward enhancing data accuracy while safeguarding volunteers' effort. and rank participants in citizen science projects based on their reputation, with the final accuracy by harnessing diversity of volunteers in citizen science. The data used in this study were collected within a citizen science project for obtaining volunteers considered to classify the i-th image, and of classification accuracy w, evaluated as In this study, we proposed a Bayesian approach to enhance data quality in citizen science Demographics toward Efficient Data Classification in Citizen Science: A Bayesian Using demographics toward efficient data classification in citizen science: a Bayesian approach Using demographics toward efficient data classification in citizen science: a Bayesian approach	./cache/work_nyaahrjgj5h4hbe4yk5dmjq6d4.pdf	./txt/work_nyaahrjgj5h4hbe4yk5dmjq6d4.txt