Léo Dreyfus-Schmidt

According to our database, Léo Dreyfus-Schmidt authored at least 9 papers between 2016 and 2023.

Collaborative distances:

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

2023

Transferability Metrics for Object Detection.

Louis Fouquet, Simona Maggio, Léo Dreyfus-Schmidt

CoRR, 2023

OpenAL: Evaluation and Interpretation of Active Learning Strategies.

William Jonas, Alexandre Abraham, Léo Dreyfus-Schmidt

CoRR, 2023

2022

Cardinal, a metric-based Active learning framework.

Alexandre Abraham, Léo Dreyfus-Schmidt

Softw. Impacts, 2022

Towards Clear Expectations for Uncertainty Estimation.

Victor Bouvier, Simona Maggio, Alexandre Abraham, Léo Dreyfus-Schmidt

CoRR, 2022

Performance Prediction Under Dataset Shift.

Simona Maggio, Victor Bouvier, Léo Dreyfus-Schmidt

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021

Ensembling Shift Detectors: An Extensive Empirical Evaluation.

Simona Maggio, Léo Dreyfus-Schmidt

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Sample Noise Impact on Active Learning.

Alexandre Abraham, Léo Dreyfus-Schmidt

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

2020

Rebuilding Trust in Active Learning with Actionable Metrics.

Alexandre Abraham, Léo Dreyfus-Schmidt

Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2016

Dataiku's Solution to SPHERE's Activity Recognition Challenge.

Maxime Voisin, Léo Dreyfus-Schmidt, Pierre Gutierrez, Samuel Ronsin, Marc Beillevaire

CoRR, 2016