Chiara Criscuolo

According to our database, Chiara Criscuolo authored at least 12 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Loss Compensation in Multi-Session Recommendation Under Limited Availability.

Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2023

Data Quality and Data Ethics: Towards a Trade-off Evaluation.

Fabio Azzalini, Cinzia Cappiello, Chiara Criscuolo, Camilla Sancricca, Letizia Tanca

Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

Data Quality and Fairness: Rivals or Friends?

Fabio Azzalini, Cinzia Cappiello, Chiara Criscuolo, Sergio Cuzzucoli, Alessandro Dangelo, Camilla Sancricca, Letizia Tanca

Proceedings of the 31st Symposium of Advanced Database Systems, 2023

Understanding Fairness Requirements for ML-based Software.

Luciano Baresi, Chiara Criscuolo, Carlo Ghezzi

Proceedings of the 31st IEEE International Requirements Engineering Conference, 2023

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

Functional Dependencies to Mitigate Data Bias.

Fabio Azzalini, Chiara Criscuolo, Letizia Tanca

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 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

Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

FAIR-DB: A system to discover unfairness in datasets.

Fabio Azzalini, Chiara Criscuolo, Letizia Tanca

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Towards Assessing Data Bias in Clinical Trials.

Chiara Criscuolo, Tommaso Dolci, Mattia Salnitri

Proceedings of the Heterogeneous Data Management, Polystores, and Analytics for Healthcare, 2022

SoCRATe: A Recommendation System with Limited-Availability Items.

Davide Azzalini, Fabio Azzalini, Chiara Criscuolo, Tommaso Dolci, Davide Martinenghi, Sihem Amer-Yahia

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

A short account of FAIR-DB: a system to discover Data Bias (Discussion Paper).

Fabio Azzalini, Chiara Criscuolo, Letizia Tanca

Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

FAIR-DB: FunctionAl DependencIes to discoveR Data Bias.

Fabio Azzalini, Chiara Criscuolo, Letizia Tanca

Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, 2021