| Evidential random forests A Hoarau, A Martin, JC Dubois, Y Le Gall Expert Systems with Applications 230, 120652, 2023 | 19 | 2023 |
| Imperfect labels with belief functions for active learning A Hoarau, A Martin, JC Dubois, Y Le Gall International Conference on Belief Functions, 44-53, 2022 | 10 | 2022 |
| Real bird dataset with imprecise and uncertain values C Thierry, A Hoarau, A Martin, JC Dubois, Y Le Gall International Conference on Belief Functions, 275-285, 2022 | 9 | 2022 |
| Datasets with rich labels for machine learning A Hoarau, C Thierry, A Martin, JC Dubois, Y Le Gall 2023 IEEE International Conference on Fuzzy Systems (FUZZ), 1-6, 2023 | 2 | 2023 |
| DEMAU: Decompose, Explore, Model and Analyse Uncertainties A Hoarau, V Lemaire arXiv preprint arXiv:2409.08105, 2024 | | 2024 |
| Evidential uncertainty sampling strategies for active learning A Hoarau, V Lemaire, Y Le Gall, JC Dubois, A Martin Machine Learning 113 (9), 6453-6474, 2024 | | 2024 |
| A mean distance between elements of same class for rich labels A Hoarau, C Thierry, JC Dubois, Y Le Gall International Conference on Belief Functions, 207-215, 2024 | | 2024 |
| Méthode crédibiliste pour l'extraction d'incertitudes sans dépendance aux observations A Hoarau, V Lemaire, A Martin, JC Dubois, Y Le Gall EGC 2024-24ème conférence francophone sur l'Extraction et la Gestion des …, 2024 | | 2024 |
| Evidential uncertainties on rich labels for active learning A Hoarau, V Lemaire, A Martin, JC Dubois, YL Gall arXiv preprint arXiv:2309.12494, 2023 | | 2023 |
