Dataiku's Solution to SPHERE's Activity Recognition Challenge. - Maxime Voisin; Léo Dreyfus-Schmidt; Pierre Gutierrez; Samuel Ronsin; Marc Beillevaire (CoRR, 2016)

Rebuilding Trust in Active Learning with Actionable Metrics. - Alexandre Abraham; Léo Dreyfus-Schmidt (ICDM (Workshops), 2020)

Sample Noise Impact on Active Learning. - Alexandre Abraham; Léo Dreyfus-Schmidt (IAL@PKDD/ECML, 2021)

Ensembling Shift Detectors: An Extensive Empirical Evaluation. - Simona Maggio; Léo Dreyfus-Schmidt (ECML/PKDD (3), 2021)

Performance Prediction Under Dataset Shift. - Simona Maggio; Victor Bouvier; Léo Dreyfus-Schmidt (ICPR, 2022)

Towards Clear Expectations for Uncertainty Estimation. - Victor Bouvier; Simona Maggio; Alexandre Abraham; Léo Dreyfus-Schmidt (CoRR, 2022)

Cardinal, a metric-based Active learning framework. - Alexandre Abraham; Léo Dreyfus-Schmidt (Softw. Impacts, 2022)

OpenAL: Evaluation and Interpretation of Active Learning Strategies. - William Jonas; Alexandre Abraham; Léo Dreyfus-Schmidt (CoRR, 2023)

Transferability Metrics for Object Detection. - Louis Fouquet; Simona Maggio; Léo Dreyfus-Schmidt (CoRR, 2023)

Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning. - Haiming Wang; Mert Unsal; Xiaohan Lin; Mantas Baksys; Junqi Liu; Marco Dos Santos; Flood Sung; Marina Vinyes; Zhenzhe Ying; Zekai Zhu; Jianqiao Lu; Hugues de Saxcé; et al. (CoRR, 2025)