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Conference and Workshop Papers
- 2024
[c6]Riccardo Massidda, Francesco Landolfi, Martina Cinquini, Davide Bacciu:
Constraint-Free Structure Learning with Smooth Acyclic Orientations. ICLR 2024- [c5]Martina Cinquini
, Riccardo Guidotti:
Causality-Aware Local Interpretable Model-Agnostic Explanations. xAI (3) 2024: 108-124 - 2023
- [c4]Federico Mazzoni, Marta Marchiori Manerba, Martina Cinquini, Riccardo Guidotti, Salvatore Ruggieri:
GenFair: A Genetic Fairness-Enhancing Data Generation Framework. DS 2023: 356-371 - [c3]Martina Cinquini, Fosca Giannotti, Riccardo Guidotti, Andrea Mattei:
Handling Missing Values in Local Post-hoc Explainability. xAI (2) 2023: 256-278 - [c2]Isacco Beretta, Martina Cinquini:
The Importance of Time in Causal Algorithmic Recourse. xAI (1) 2023: 283-298 - 2021
- [c1]Martina Cinquini, Fosca Giannotti, Riccardo Guidotti:
Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery. CogMI 2021: 54-63
Informal and Other Publications
- 2023
- [i4]Martina Cinquini, Fosca Giannotti, Riccardo Guidotti:
Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery. CoRR abs/2301.07427 (2023) - [i3]Isacco Beretta, Martina Cinquini:
The Importance of Time in Causal Algorithmic Recourse. CoRR abs/2306.05082 (2023) - [i2]Riccardo Massidda, Francesco Landolfi, Martina Cinquini, Davide Bacciu:
Constraint-Free Structure Learning with Smooth Acyclic Orientations. CoRR abs/2309.08406 (2023) - 2022
- [i1]Martina Cinquini, Riccardo Guidotti:
CALIME: Causality-Aware Local Interpretable Model-Agnostic Explanations. CoRR abs/2212.05256 (2022)
Coauthor Index
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