Counterfactual Graphs for Explainable Classification of Brain Networks. - Carlo Abrate; Francesco Bonchi (KDD, 2021)

Continuous-Action Reinforcement Learning for Portfolio Allocation of a Life Insurance Company. - Carlo Abrate; Alessio Angius; Gianmarco De Francisci Morales; Stefano Cozzini; Francesca Iadanza; Laura Li Puma; Simone Pavanelli; Alan Perotti; Stefano Pignataro; Silvia Ronchiadin (ECML/PKDD (4), 2021)

Relevance-based Infilling for Natural Language Counterfactuals. - Lorenzo Betti; Carlo Abrate; Francesco Bonchi; Andreas Kaltenbrunner (CIKM, 2023)

Setting the Right Expectations: Algorithmic Recourse Over Time. - João Fonseca; Andrew Bell; Carlo Abrate; Francesco Bonchi; Julia Stoyanovich (EAAMO, 2023)

Counterfactual Explanations for Graph Classification Through the Lenses of Density. - Carlo Abrate; Giulia Preti; Francesco Bonchi (xAI (1), 2023)

Large scale analysis of gender bias and sexism in song lyrics. - Lorenzo Betti; Carlo Abrate; Andreas Kaltenbrunner (EPJ Data Sci., 2023)

Human-in-the-Loop Personalized Counterfactual Recourse. - Carlo Abrate; Federico Siciliano; Francesco Bonchi; Fabrizio Silvestri (xAI (3), 2024)

Fairness in Algorithmic Recourse Through the Lens of Substantive Equality of Opportunity. - Andrew Bell; João Fonseca; Carlo Abrate; Francesco Bonchi; Julia Stoyanovich (CoRR, 2024)