Chiara Criscuolo

19 papers A* 1A 2B 1Journal 4Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
FAIR-CARE: A comparative evaluation of unfairness mitigation approaches.
Inf. Softw. Technol.
Chiara Criscuolo, Mattia Salnitri, Davide Martinenghi
2025 J jnl
A Tutorial On Intersectionality in Fair Rankings.
CoRR
Chiara Criscuolo, Davide Martinenghi, Giuseppe Piccirillo
2025 — conf
Metadata as a Key Driver in Healthcare Data Analysis.
SEBD
Chiara Criscuolo, Davide Piantella, Pierluigi Reali, Maria Gabriella Signorini, Letizia Tanca
2025 — conf
Reconciling Statistical and Causal Metrics of Fairness in Machine Learning on Data-Driven Systems.
ITADATA
Chiara Criscuolo, Davide Martinenghi, Jing Huang
2024 — conf
Exploring Fairness Interpretability with FairnessFriend: A Chatbot Solution.
ICDEW
Chiara Criscuolo, Tommaso Dolci
2024 B conf
Loss Compensation in Multi-Session Recommendation Under Limited Availability.
EDBT
Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia
2024 — conf
Mitigating Unfairness in Machine Learning: A Taxonomy and an Evaluation Pipeline.
SEBD
Chiara Criscuolo, Tommaso Dolci, Mattia Salnitri
2023 — conf
Data Quality and Data Ethics: Towards a Trade-off Evaluation.
VLDB Workshops
Fabio Azzalini, Cinzia Cappiello, Chiara Criscuolo, Camilla Sancricca, Letizia Tanca
2023 — conf
Data Quality and Fairness: Rivals or Friends?
SEBD
Fabio Azzalini, Cinzia Cappiello, Chiara Criscuolo, Sergio Cuzzucoli, Alessandro Dangelo, Camilla Sancricca, Letizia Tanca
2023 A conf
Understanding Fairness Requirements for ML-based Software.
RE
Luciano Baresi, Chiara Criscuolo, Carlo Ghezzi
2022 J jnl
E-FAIR-DB: Functional Dependencies to Discover Data Bias and Enhance Data Equity.
ACM J. Data Inf. Qual.
Fabio Azzalini, Chiara Criscuolo, Letizia Tanca
2022 A* conf
FAIR-DB: A system to discover unfairness in datasets.
ICDE
Fabio Azzalini, Chiara Criscuolo, Letizia Tanca
2022 — conf
Functional Dependencies to Mitigate Data Bias.
SEBD
Fabio Azzalini, Chiara Criscuolo, Letizia Tanca
2022 A conf
SoCRATe: A Recommendation System with Limited-Availability Items.
CIKM
Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia
2022 — conf
SoCRATe: a Framework for Compensating Users Over Time with Limited Availability Recommendations.
SEBD
Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Letizia Tanca, Sihem Amer-Yahia
2022 — conf
Towards Assessing Data Bias in Clinical Trials.
Poly/DMAH@VLDB
Chiara Criscuolo, Tommaso Dolci, Mattia Salnitri
2022 J jnl
Towards Assessing Data Bias in Clinical Trials.
CoRR
Chiara Criscuolo, Tommaso Dolci, Mattia Salnitri
2021 — conf
A short account of FAIR-DB: a system to discover Data Bias (Discussion Paper).
SEBD
Fabio Azzalini, Chiara Criscuolo, Letizia Tanca
2021 — conf
FAIR-DB: FunctionAl DependencIes to discoveR Data Bias.
EDBT/ICDT Workshops
Fabio Azzalini, Chiara Criscuolo, Letizia Tanca