2 papers
cs.LG2024
DEMAU: Decompose, Explore, Model and Analyse Uncertainties
Arthur Hoarau, Vincent Lemaire
Recent research in machine learning has given rise to a flourishing literature on the quantification and decomposition of model uncertainty. This information can be very useful dur…
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…