3 papers
cs.LG2023
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…
cs.AI2023
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…
cs.DB2022
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…