Martina Cinquini

According to our database, Martina Cinquini authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SafeGen: safeguarding privacy and fairness through a genetic method.

Martina Cinquini, Marta Marchiori Manerba, Federico Mazzoni, Francesca Pratesi, Riccardo Guidotti

Mach. Learn., October, 2025

Towards the Formalization of a Trustworthy AI for Mining Interpretable Models explOiting Sophisticated Algorithms.

Riccardo Guidotti, Martina Cinquini, Marta Marchiori Manerba, Mattia Setzu, Francesco Spinnato

CoRR, October, 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

Corrections to "A Bias Injection Technique to Assess the Resilience of Causal Discovery Methods".

Martina Cinquini, Karima Makhlouf, Jay Jawale, Sami Zhioua, Catuscia Palamidessi, Riccardo Guidotti

IEEE Access, 2025

A Practical Approach to Causal Inference over Time.

Martina Cinquini, Isacco Beretta, Salvatore Ruggieri, Isabel Valera

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Causality-Aware Local Interpretable Model-Agnostic Explanations.

Martina Cinquini, Riccardo Guidotti

Proceedings of the Explainable Artificial Intelligence, 2024

Constraint-Free Structure Learning with Smooth Acyclic Orientations.

Riccardo Massidda, Francesco Landolfi, Martina Cinquini, Davide Bacciu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Fairness Through Time-aware Recourse: a Pathway to Realistic Algorithmic Recommendations.

Isacco Beretta, Martina Cinquini, Isabel Valera

Proceedings of the 3rd European Workshop on Algorithmic Fairness, 2024

Leveraging Time-Aware Causal Algorithmic Recourse for Promoting Fairness⋆.

Isacco Beretta, Martina Cinquini

Proceedings of the Discovery Science Late Breaking Contributions 2024 (DS-LB 2024) co-located with 27th International Conference Discovery Science 2024 (DS 2024), 2024

2023

Handling Missing Values in Local Post-hoc Explainability.

Martina Cinquini, Fosca Giannotti, Riccardo Guidotti, Andrea Mattei

Proceedings of the Explainable Artificial Intelligence, 2023

The Importance of Time in Causal Algorithmic Recourse.

Isacco Beretta, Martina Cinquini

Proceedings of the Explainable Artificial Intelligence, 2023

GenFair: A Genetic Fairness-Enhancing Data Generation Framework.

Federico Mazzoni, Marta Marchiori Manerba, Martina Cinquini, Riccardo Guidotti, Salvatore Ruggieri

Proceedings of the Discovery Science - 26th International Conference, 2023

2022

CALIME: Causality-Aware Local Interpretable Model-Agnostic Explanations.

Martina Cinquini, Riccardo Guidotti

CoRR, 2022

2021

Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery.

Martina Cinquini, Fosca Giannotti, Riccardo Guidotti

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021