CRISCUOLO, CHIARA
CRISCUOLO, CHIARA
DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA
A short account of FAIR-DB: A system to discover Data Bias
2021-01-01 Azzalini, F.; Criscuolo, C.; Tanca, L.
Data Quality and Data Ethics: Towards a Trade-off Evaluation
2023-01-01 Azzalini, F.; Cappiello, C.; Criscuolo, C.; Sancricca, C.; Tanca, L.
Data Quality and Fairness: Rivals or Friends?
2023-01-01 Azzalini, F.; Cappiello, C.; Criscuolo, C.; Cuzzucoli, S.; Dangelo, A.; Sancricca, C.; Tanca, L.
E-FAIR-DB: Functional Dependencies to Discover Data Bias and Enhance Data Equity
2022-01-01 Azzalini, F.; Criscuolo, C.; Tanca, L.
Exploring Fairness Interpretability with FairnessFriend: A Chatbot Solution
2024-01-01 Criscuolo, C.; Dolci, T.
FAIR-DB: A system to discover unfairness in datasets
2022-01-01 Azzalini, F.; Criscuolo, C.; Tanca, L.
FAIR-DB: Function Al dependencies to discover data bias
2021-01-01 Azzalini, F.; Criscuolo, C.; Tanca, L.
Functional Dependencies to Mitigate Data Bias
2022-01-01 Azzalini, F.; Criscuolo, C.; Tanca, L.
Loss Compensation in Multi-Session Recommendation Under Limited Item Availability
2024-01-01 Azzalini, D.; Azzalini, F.; Criscuolo, C.; Dolci, T.; Martinenghi, D.; Amer-Yahia, S.
Mitigating Unfairness in Machine Learning: A Taxonomy and an Evaluation Pipeline
2024-01-01 Criscuolo, C.; Dolci, T.; Salnitri, M.
SoCRATe: A Framework for Compensating Users over Time with Limited Availability Recommendations
2022-01-01 Azzalini, D.; Azzalini, F.; Criscuolo, C.; Dolci, T.; Martinenghi, D.; Tanca, L.; Amer-Yahia, S.
SoCRATe: A Recommendation System with Limited-Availability Items
2022-01-01 Azzalini, D.; Azzalini, F.; Criscuolo, C.; Dolci, T.; Martinenghi, D.; Amer-Yahia, S.
Towards Assessing Data Bias in Clinical Trials
2022-01-01 Criscuolo, Chiara; Dolci, Tommaso; Salnitri, Mattia
Understanding Fairness Requirements for ML-based Software
2023-01-01 Baresi, Luciano; Criscuolo, Chiara; Ghezzi, Carlo