Yolande Le Gall

According to our database, Yolande Le Gall authored at least 14 papers between 2014 and 2023.

Collaborative distances:

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

2023

Evidential Random Forests.

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

Expert Syst. Appl., November, 2023

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, Yolande Le Gall

Expert Syst. Appl., April, 2023

Evidential uncertainties on rich labels for active learning.

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

CoRR, 2023

Modeling evolutionary responses in crowdsourcing MCQ using belief function theory.

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

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 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

2021

Evidential Nearest Neighbours in Active Learning.

Daniel Zhu, Arnaud Martin, Yolande Le Gall, Jean-Christophe Dubois, Vincent Lemaire

Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Validation of Smets' Hypothesis in the Crowdsourcing Environment.

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

Proceedings of the Belief Functions: Theory and Applications, 2021

2020

Modélisation de l'incertitude et de l'imprécision de données de crowdsourcing : MONITOR.

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

Proceedings of the Extraction et Gestion des Connaissances, 2020

2019

Modeling Uncertainty and Inaccuracy on Data from Crowdsourcing Platforms: MONITOR.

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

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018

Contributors profile modelization in crowdsourcing platforms.

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

CoRR, 2018

Measuring the Expertise of Workers for Crowdsourcing Applications.

Jean-Christophe Dubois, Laetitia Gros, Mouloud Kharoune, Yolande Le Gall, Arnaud Martin, Zoltán Miklós, Hosna Ouni

Proceedings of the Advances in Knowledge Discovery and Management, 2018

2014

Designing a Belief Function-Based Accessibility Indicator to Improve Web Browsing for Disabled People.

Jean-Christophe Dubois, Yolande Le Gall, Arnaud Martin

Proceedings of the Belief Functions: Theory and Applications, 2014