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2020 – today
- 2024
[c13]Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia:
Loss Compensation in Multi-Session Recommendation Under Limited Availability. EDBT 2024: 522-533- [c12]Chiara Criscuolo, Tommaso Dolci:
Exploring Fairness Interpretability with FairnessFriend: A Chatbot Solution. ICDEW 2024: 246-253 - [c11]Chiara Criscuolo, Tommaso Dolci, Mattia Salnitri:
Mitigating Unfairness in Machine Learning: A Taxonomy and an Evaluation Pipeline. SEBD 2024: 217-226 - 2023
- [c10]Luciano Baresi
, Chiara Criscuolo, Carlo Ghezzi:
Understanding Fairness Requirements for ML-based Software. RE 2023: 341-346 - [c9]Fabio Azzalini, Cinzia Cappiello, Chiara Criscuolo, Sergio Cuzzucoli, Alessandro Dangelo, Camilla Sancricca, Letizia Tanca:
Data Quality and Fairness: Rivals or Friends? SEBD 2023: 239-247 - [c8]Fabio Azzalini, Cinzia Cappiello, Chiara Criscuolo, Camilla Sancricca, Letizia Tanca:
Data Quality and Data Ethics: Towards a Trade-off Evaluation. VLDB Workshops 2023 - 2022
- [j1]Fabio Azzalini, Chiara Criscuolo, Letizia Tanca:
E-FAIR-DB: Functional Dependencies to Discover Data Bias and Enhance Data Equity. ACM J. Data Inf. Qual. 14(4): 29:1-29:26 (2022) - [c7]Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia:
SoCRATe: A Recommendation System with Limited-Availability Items. CIKM 2022: 4793-4797 - [c6]Chiara Criscuolo, Tommaso Dolci, Mattia Salnitri:
Towards Assessing Data Bias in Clinical Trials. Poly/DMAH@VLDB 2022: 57-74 - [c5]Fabio Azzalini, Chiara Criscuolo, Letizia Tanca:
FAIR-DB: A system to discover unfairness in datasets. ICDE 2022: 3494-3497 - [c4]Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Letizia Tanca, Sihem Amer-Yahia:
SoCRATe: a Framework for Compensating Users Over Time with Limited Availability Recommendations. SEBD 2022: 538-545 - [c3]Fabio Azzalini, Chiara Criscuolo, Letizia Tanca:
Functional Dependencies to Mitigate Data Bias. SEBD 2022: 562-569 - [i1]Chiara Criscuolo, Tommaso Dolci, Mattia Salnitri:
Towards Assessing Data Bias in Clinical Trials. CoRR abs/2212.09633 (2022) - 2021
- [c2]Fabio Azzalini, Chiara Criscuolo, Letizia Tanca:
FAIR-DB: FunctionAl DependencIes to discoveR Data Bias. EDBT/ICDT Workshops 2021 - [c1]Fabio Azzalini, Chiara Criscuolo, Letizia Tanca:
A short account of FAIR-DB: a system to discover Data Bias (Discussion Paper). SEBD 2021: 192-199
Coauthor Index
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