FAIR-DB: FunctionAl DependencIes to discoveR Data Bias. - Fabio Azzalini; Chiara Criscuolo; Letizia Tanca (EDBT/ICDT Workshops, 2021)

A short account of FAIR-DB: a system to discover Data Bias (Discussion Paper). - Fabio Azzalini; Chiara Criscuolo; Letizia Tanca (SEBD, 2021)

SoCRATe: A Recommendation System with Limited-Availability Items. - Davide Azzalini; Fabio Azzalini; Chiara Criscuolo; Tommaso Dolci; Davide Martinenghi; Sihem Amer-Yahia (CIKM, 2022)

Towards Assessing Data Bias in Clinical Trials. - Chiara Criscuolo; Tommaso Dolci; Mattia Salnitri (Poly/DMAH@VLDB, 2022)

FAIR-DB: A system to discover unfairness in datasets. - Fabio Azzalini; Chiara Criscuolo; Letizia Tanca (ICDE, 2022)

SoCRATe: a Framework for Compensating Users Over Time with Limited Availability Recommendations. - Davide Azzalini; Fabio Azzalini; Chiara Criscuolo; Tommaso Dolci; Davide Martinenghi; Letizia Tanca; Sihem Amer-Yahia (SEBD, 2022)

Functional Dependencies to Mitigate Data Bias. - Fabio Azzalini; Chiara Criscuolo; Letizia Tanca (SEBD, 2022)

E-FAIR-DB: Functional Dependencies to Discover Data Bias and Enhance Data Equity. - Fabio Azzalini; Chiara Criscuolo; Letizia Tanca (ACM J. Data Inf. Qual., 2022)

Understanding Fairness Requirements for ML-based Software. - Luciano Baresi; Chiara Criscuolo; Carlo Ghezzi (RE, 2023)

Data Quality and Fairness: Rivals or Friends? - Fabio Azzalini; Cinzia Cappiello; Chiara Criscuolo; Sergio Cuzzucoli; Alessandro Dangelo; Camilla Sancricca; Letizia Tanca (SEBD, 2023)

Data Quality and Data Ethics: Towards a Trade-off Evaluation. - Fabio Azzalini; Cinzia Cappiello; Chiara Criscuolo; Camilla Sancricca; Letizia Tanca (VLDB Workshops, 2023)

Loss Compensation in Multi-Session Recommendation Under Limited Availability. - Davide Azzalini; Fabio Azzalini; Chiara Criscuolo; Tommaso Dolci; Davide Martinenghi; Sihem Amer-Yahia (EDBT, 2024)

Exploring Fairness Interpretability with FairnessFriend: A Chatbot Solution. - Chiara Criscuolo; Tommaso Dolci (ICDEW, 2024)

Mitigating Unfairness in Machine Learning: A Taxonomy and an Evaluation Pipeline. - Chiara Criscuolo; Tommaso Dolci; Mattia Salnitri (SEBD, 2024)

A Tutorial On Intersectionality in Fair Rankings. - Chiara Criscuolo; Davide Martinenghi; Giuseppe Piccirillo (CoRR, 2025)