Towards learning to explain with concept bottleneck models: mitigating information leakage. - Joshua Lockhart; Nicolas Marchesotti; Daniele Magazzeni; Manuela Veloso (CoRR, 2022)

Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning. - Danial Dervovic; Nicolas Marchesotti; Freddy Lécué; Daniele Magazzeni (CoRR, 2022)

Are Logistic Models Really Interpretable? - Danial Dervovic; Freddy Lécué; Nicolas Marchesotti; Daniele Magazzeni (IJCAI, 2024)

Deep Reinforcement Learning and Mean-Variance Strategies for Responsible Portfolio Optimization. - Fernando Acero; Parisa Zehtabi; Nicolas Marchesotti; Michael Cashmore; Daniele Magazzeni; Manuela Veloso (CoRR, 2024)