Fairness guarantees in multi-class classification with demographic parity C Denis, R Elie, M Hebiri, F Hu Journal of Machine Learning Research 25 (130), 1-46, 2024 | 43* | 2024 |
Fairness in multi-task learning via wasserstein barycenters F Hu, P Ratz, A Charpentier Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 10 | 2023 |
A sequentially fair mechanism for multiple sensitive attributes F Hu, P Ratz, A Charpentier Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12502 …, 2024 | 5 | 2024 |
An overview of active learning methods for insurance with fairness appreciation R Elie, C Hillairet, F Hu, M Juillard arXiv preprint arXiv:2112.09466, 2021 | 5 | 2021 |
Mitigating Discrimination in Insurance with Wasserstein Barycenters A Charpentier, F Hu, P Ratz 3rd Workshop on Bias and Fairness in AI, International Workshop of ECML PKDD, 2023 | 4 | 2023 |
Semi-supervised learning in insurance: fairness and active learning F Hu Institut Polytechnique de Paris, 2022 | 3 | 2022 |
Geospatial disparities: A case study on real estate prices in paris AF Machado, F Hu, P Ratz, E Gallic, A Charpentier arXiv preprint arXiv:2401.16197, 2024 | 1 | 2024 |
Parametric Fairness with Statistical Guarantees F Hu, P Ratz, A Charpentier arXiv preprint arXiv:2310.20508, 2023 | 1 | 2023 |
Probabilistic Scores of Classifiers, Calibration is not Enough AF Machado, A Charpentier, E Flachaire, E Gallic, F Hu arXiv preprint arXiv:2408.03421, 2024 | | 2024 |
Probabilistic Scores of Classifiers, Calibration is not Enough A Fernandes Machado, A Charpentier, E Flachaire, E Gallic, F Hu arXiv e-prints, arXiv: 2408.03421, 2024 | | 2024 |
Models and data used to predict the abundance and distribution of Ixodes scapularis (blacklegged tick) in North America: a scoping review Y Sharma, EKE Laison, T Philippsen, J Ma, J Kong, S Ghaemi, J Liu, F Hu, ... The Lancet Regional Health–Americas 32, 2024 | | 2024 |
From Uncertainty to Precision: Enhancing Binary Classifier Performance through Calibration AF Machado, A Charpentier, E Flachaire, E Gallic, F Hu arXiv preprint arXiv:2402.07790, 2024 | | 2024 |
Addressing Fairness and Explainability in Image Classification Using Optimal Transport P Ratz, F Hu, A Charpentier arXiv preprint arXiv:2308.11090, 2023 | | 2023 |
Fair Active Learning: Solving the Labeling Problem in Insurance R Elie, C Hillairet, F Hu, M Juillard arXiv preprint arXiv:2112.09466, 2021 | | 2021 |
Fair Active Learning: Solving the Labeling Problem in Insurance R Elie, C Hillairet, F Hu, M Juillard arXiv e-prints, arXiv: 2112.09466, 2021 | | 2021 |
Efficient labeling with Active Learning F HU, C Hillairet, M Juillard, R Elie Online International Conference in Actuarial Science, Data Science and Finance, 2020 | | 2020 |
Fairness and Discrimination with Multiple Attributes AF Machado, S Grondin, F Hu, P Ratz, A Charpentier | | |