3 citations · 3 across the 6 of their papers we have counts for
6 papers
Evidential uncertainty sampling for active learning
Arthur Hoarau, Vincent Lemaire, Arnaud Martin +2
Recent studies in active learning, particularly in uncertainty sampling, have focused on the decomposition of model uncertainty into reducible and irreducible uncertainties. In thi…
Estimation of the qualification and behavior of a contributor and aggregation of his answers in a crowdsourcing context
Constance Thierry, Arnaud Martin, Jean-Christophe Dubois +1
Crowdsourcing is the outsourcing of tasks to a crowd of contributors on a dedicated platform. The crowd on these platforms is very diversified and includes various profiles of cont…
Real bird dataset with imprecise and uncertain values
Constance Thierry, Arthur Hoarau, Arnaud Martin +2
The theory of belief functions allows the fusion of imperfect data from different sources. Unfortunately, few real, imprecise and uncertain datasets exist to test approaches using…
Measuring the Expertise of Workers for Crowdsourcing Applications
Jean-Christophe Dubois, Laetitia Gros, Mouloud Kharoune +4
Crowdsourcing platforms enable companies to propose tasks to a large crowd of users. The workers receive a compensation for their work according to the serious of the tasks they ma…
Contributors profile modelization in crowdsourcing platforms
Constance Thierry, Jean-Christophe Dubois, Yolande Le Gall +1
The crowdsourcing consists in the externalisation of tasks to a crowd of people remunerated to execute this ones. The crowd, usually diversified, can include users without qualific…
Designing a Belief Function-Based Accessibility Indicator to Improve Web Browsing for Disabled People
Jean-Christophe Dubois, Yolande Le Gall, Arnaud Martin
The purpose of this study is to provide an accessibility measure of web-pages, in order to draw disabled users to the pages that have been designed to be ac-cessible to them. Our a…