Léo Dreyfus-Schmidt

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 13

Top Topics

Sample Selection

Hierarchical Text Classification

Evaluation Metrics

Top Venues

Publications

William Jonas, Alexandre Abraham, Léo Dreyfus-Schmidt
OpenAL: Evaluation and Interpretation of Active Learning Strategies. CoRR (2023)
Louis Fouquet, Simona Maggio, Léo Dreyfus-Schmidt
Transferability Metrics for Object Detection. CoRR (2023)
Alexandre Abraham, Léo Dreyfus-Schmidt
Cardinal, a metric-based Active learning framework. Softw. Impacts 12 (2022)
Simona Maggio, Victor Bouvier, Léo Dreyfus-Schmidt
Performance Prediction Under Dataset Shift. ICPR (2022)
Simona Maggio, Victor Bouvier, Léo Dreyfus-Schmidt
Performance Prediction Under Dataset Shift. CoRR (2022)
Victor Bouvier, Simona Maggio, Alexandre Abraham, Léo Dreyfus-Schmidt
Towards Clear Expectations for Uncertainty Estimation. CoRR (2022)
Simona Maggio, Léo Dreyfus-Schmidt
Ensembling Shift Detectors: An Extensive Empirical Evaluation. ECML/PKDD (3) (2021)
Alexandre Abraham, Léo Dreyfus-Schmidt
Sample Noise Impact on Active Learning. IAL@PKDD/ECML (2021)
Alexandre Abraham, Léo Dreyfus-Schmidt
Sample Noise Impact on Active Learning. CoRR (2021)
Simona Maggio, Léo Dreyfus-Schmidt
Ensembling Shift Detectors: an Extensive Empirical Evaluation. CoRR (2021)
Alexandre Abraham, Léo Dreyfus-Schmidt
Rebuilding Trust in Active Learning with Actionable Metrics. ICDM (Workshops) (2020)
Alexandre Abraham, Léo Dreyfus-Schmidt
Rebuilding Trust in Active Learning with Actionable Metrics. CoRR (2020)
Maxime Voisin, Léo Dreyfus-Schmidt, Pierre Gutierrez, Samuel Ronsin, Marc Beillevaire
Dataiku's Solution to SPHERE's Activity Recognition Challenge. CoRR (2016)