Arthur Hoarau

According to our database, Arthur Hoarau authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Evidential uncertainty sampling strategies for active learning.

Arthur Hoarau, Vincent Lemaire, Yolande Le Gall, Jean-Christophe Dubois, Arnaud Martin

Mach. Learn., September, 2024

Apprentissage Actif de Données Incertaines et Imprécises. (Active Learning of Uncertain and Imprecise Data).

Arthur Hoarau

PhD thesis, 2024

DEMAU: Decompose, Explore, Model and Analyse Uncertainties.

Arthur Hoarau, Vincent Lemaire

CoRR, 2024

Méthode crédibiliste pour l'extraction d'incertitudes sans dépendance aux observations.

Arthur Hoarau, Vincent Lemaire, Arnaud Martin, Jean-Christophe Dubois, Yolande Le Gall

Proceedings of the Extraction et Gestion des Connaissances, 2024

A Mean Distance Between Elements of Same Class for Rich Labels.

Arthur Hoarau, Constance Thierry, Jean-Christophe Dubois, Yolande Le Gall

Proceedings of the Belief Functions: Theory and Applications, 2024

2023

Evidential Random Forests.

Arthur Hoarau, Arnaud Martin, Jean-Christophe Dubois, Yolande Le Gall

Expert Syst. Appl., November, 2023

Evidential uncertainties on rich labels for active learning.

Arthur Hoarau, Vincent Lemaire, Arnaud Martin, Jean-Christophe Dubois, Yolande Le Gall

CoRR, 2023

Datasets with Rich Labels for Machine Learning.

Arthur Hoarau, Constance Thierry, Arnaud Martin, Jean-Christophe Dubois, Yolande Le Gall

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022

Real Bird Dataset with Imprecise and Uncertain Values.

Constance Thierry, Arthur Hoarau, Arnaud Martin, Jean-Christophe Dubois, Yolande Le Gall

Proceedings of the Belief Functions: Theory and Applications, 2022

Imperfect Labels with Belief Functions for Active Learning.

Arthur Hoarau, Arnaud Martin, Jean-Christophe Dubois, Yolande Le Gall

Proceedings of the Belief Functions: Theory and Applications, 2022