Naive Bayes Classification for Subset Selection. - Luca Mossina; Emmanuel Rachelson (CoRR, 2017)

Multi-label Classification for the Generation of Sub-problems in Time-constrained Combinatorial Optimization. - Luca Mossina; Emmanuel Rachelson; Daniel Delahaye (ICORES, 2019)

A Reinforcement Learning Perspective on the Optimal Control of Mutation Probabilities for the (1+1) Evolutionary Algorithm: First Results on the OneMax Problem. - Luca Mossina; Emmanuel Rachelson; Daniel Delahaye (CoRR, 2019)

Learning to handle parameter perturbations in Combinatorial Optimization: An application to facility location. - Andrea Lodi 001; Luca Mossina; Emmanuel Rachelson (EURO J. Transp. Logist., 2020)

Applications of machine learning to the resolution of recurrent combinatorial optimization problems. (Applications d'apprentissage automatique à la résolution de problèmes récurrents en optimisation combinatoire). - Luca Mossina (2020)

Robust Gas Demand Forecasting With Conformal Prediction. - Mouhcine Mendil; Luca Mossina; Marc Nabhan; Kevin Pasini (COPA, 2022)

Confident Object Detection via Conformal Prediction and Conformal Risk Control: an Application to Railway Signaling. - Léo Andéol; Thomas Fel; Florence de Grancey; Luca Mossina (COPA, 2023)

PUNCC: a Python Library for Predictive Uncertainty Calibration and Conformalization. - Mouhcine Mendil; Luca Mossina; David Vigouroux (COPA, 2023)

Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty. - Luca Mossina; Joseba Dalmau; Léo Andéol (CVPR Workshops, 2024)

Conformal prediction for trustworthy detection of railway signals. - Léo Andéol; Thomas Fel; Florence de Grancey; Luca Mossina (AI Ethics, 2024)

Conformal Prediction for Image Segmentation Using Morphological Prediction Sets. - Luca Mossina; Corentin Friedrich (CoRR, 2025)

Conformal Object Detection by Sequential Risk Control. - Léo Andéol; Luca Mossina; Adrien Mazoyer; Sébastien Gerchinovitz (CoRR, 2025)