Forging Argumentative Explanations from Causal Models. - Antonio Rago 001; Fabrizio Russo 002; Emanuele Albini; Pietro Baroni; Francesca Toni (AI³@AI*IA, 2021)

Causal Discovery and Injection for Feed-Forward Neural Networks. - Fabrizio Russo 002; Francesca Toni (CoRR, 2022)

Causal Discovery and Knowledge Injection for Contestable Neural Networks. - Fabrizio Russo 002; Francesca Toni (ECAI, 2023)

Argumentation for Interactive Causal Discovery. - Fabrizio Russo 002 (IJCAI, 2023)

Shapley-PC: Constraint-based Causal Structure Learning with Shapley Values. - Fabrizio Russo 002; Francesca Toni (CoRR, 2023)

Explaining Classifiers' Outputs with Causal Models and Argumentation. - Antonio Rago 001; Fabrizio Russo 002; Emanuele Albini; Francesca Toni; Pietro Baroni (FLAP, 2023)

Argumentative Causal Discovery. - Fabrizio Russo 002; Anna Rapberger; Francesca Toni (KR, 2024)

Contestable AI Needs Computational Argumentation. - Francesco Leofante; Hamed Ayoobi; Adam Dejl; Gabriel Freedman; Deniz Gorur; Junqi Jiang; Guilherme Paulino-Passos; Antonio Rago 001; Anna Rapberger; Fabrizio Russo 002; Xiang Yin 007; Dekai Zhang; et al. (KR, 2024)

Online Handbook of Argumentation for AI: Volume 4. - Lars Bengel; Lydia Blümel; Elfia Bezou-Vrakatseli; Federico Castagna; Giulia D'Agostino; Isabelle Kuhlmann; Jack Mumford; Daphne Odekerken; Fabrizio Russo 002; Stefan Sarkadi; Madeleine Waller; Andreas Xydis (CoRR, 2024)

Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework. - Fabrizio Russo 002; Francesca Toni (CLeaR, 2025)

On Gradual Semantics for Assumption-Based Argumentation. - Anna Rapberger; Fabrizio Russo 002; Antonio Rago 001; Francesca Toni (CoRR, 2025)