An overview of active learning methods for insurance with fairness appreciation. - Romuald Elie; Caroline Hillairet; François Hu; Marc Juillard (CoRR, 2021)

Mitigating Discrimination in Insurance with Wasserstein Barycenters. - Arthur Charpentier; François Hu; Philipp Ratz (PKDD/ECML Workshops (1), 2023)

Fairness in Multi-Task Learning via Wasserstein Barycenters. - François Hu; Philipp Ratz; Arthur Charpentier (ECML/PKDD (2), 2023)

Addressing Fairness and Explainability in Image Classification Using Optimal Transport. - Philipp Ratz; François Hu; Arthur Charpentier (CoRR, 2023)

Parametric Fairness with Statistical Guarantees. - François Hu; Philipp Ratz; Arthur Charpentier (CoRR, 2023)

A Sequentially Fair Mechanism for Multiple Sensitive Attributes. - François Hu; Philipp Ratz; Arthur Charpentier (AAAI, 2024)

Geospatial Disparities: A Case Study on Real Estate Prices in Paris. - Agathe Fernandes Machado; François Hu; Philipp Ratz; Ewen Gallic; Arthur Charpentier (CoRR, 2024)

From Uncertainty to Precision: Enhancing Binary Classifier Performance through Calibration. - Agathe Fernandes Machado; Arthur Charpentier; Emmanuel Flachaire; Ewen Gallic; François Hu (CoRR, 2024)

Probabilistic Scores of Classifiers, Calibration is not Enough. - Agathe Fernandes Machado; Arthur Charpentier; Emmanuel Flachaire; Ewen Gallic; François Hu (CoRR, 2024)

Fairness guarantees in multi-class classification with demographic parity. - Christophe Denis; Romuald Elie; Mohamed Hebiri; François Hu (J. Mach. Learn. Res., 2024)

EquiPy: Sequential Fairness using Optimal Transport in Python. - Agathe Fernandes Machado; Suzie Grondin; Philipp Ratz; Arthur Charpentier; François Hu (CoRR, 2025)