Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery. - Martina Cinquini; Fosca Giannotti; Riccardo Guidotti (CogMI, 2021)

CALIME: Causality-Aware Local Interpretable Model-Agnostic Explanations. - Martina Cinquini; Riccardo Guidotti (CoRR, 2022)

GenFair: A Genetic Fairness-Enhancing Data Generation Framework. - Federico Mazzoni; Marta Marchiori Manerba; Martina Cinquini; Riccardo Guidotti; Salvatore Ruggieri (DS, 2023)

The Importance of Time in Causal Algorithmic Recourse. - Isacco Beretta; Martina Cinquini (xAI (1), 2023)

Handling Missing Values in Local Post-hoc Explainability. - Martina Cinquini; Fosca Giannotti; Riccardo Guidotti; Andrea Mattei (xAI (2), 2023)

Leveraging Time-Aware Causal Algorithmic Recourse for Promoting Fairness⋆. - Isacco Beretta; Martina Cinquini (DS (LB), 2024)

Enhancing Fairness Through Time-aware Recourse: a Pathway to Realistic Algorithmic Recommendations. - Isacco Beretta; Martina Cinquini; Isabel Valera (EWAF, 2024)

Constraint-Free Structure Learning with Smooth Acyclic Orientations. - Riccardo Massidda; Francesco Landolfi; Martina Cinquini; Davide Bacciu (ICLR, 2024)

Causality-Aware Local Interpretable Model-Agnostic Explanations. - Martina Cinquini; Riccardo Guidotti (xAI (3), 2024)

A Practical Approach to Causal Inference over Time. - Martina Cinquini; Isacco Beretta; Salvatore Ruggieri; Isabel Valera (AAAI, 2025)

A Bias Injection Technique to Assess the Resilience of Causal Discovery Methods. - Martina Cinquini; Karima Makhlouf; Sami Zhioua; Catuscia Palamidessi; Riccardo Guidotti (IEEE Access, 2025)