Event Recognition Strategies applied in the Mercurio Project. - Davide Azzalini; Fabio Azzalini; Davide Greco; Mirjana Mazuran; Letizia Tanca (MIDAS@PKDD/ECML, 2017)

Evolution of Financial Time Series Clusters. - Davide Azzalini; Fabio Azzalini; Mirjana Mazuran; Letizia Tanca (SEBD, 2019)

Data Fusion with Source Authority and Multiple Truth. - Fabio Azzalini; Davide Piantella; Letizia Tanca (SEBD, 2019)

Tracking the Evolution of Financial Time Series Clusters. - Davide Azzalini; Fabio Azzalini; Mirjana Mazuran; Letizia Tanca (DSMM@SIGMOD, 2019)

A Deep-Learning-Based Blocking Technique for Entity Linkage. - Fabio Azzalini; Marco Renzi; Letizia Tanca (DASFAA (1), 2020)

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

Extraction of Medical Concepts from Italian Natural Language Descriptions (Discussion Paper). - Patrizia Agnello; Silvia Maria Ansaldi; Fabio Azzalini; Giovanni Gangemi; Davide Piantella; Emanuele Rabosio; Letizia Tanca (SEBD, 2021)

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

Blocking Techniques for Entity Linkage: A Semantics-Based Approach. - Fabio Azzalini; Songle Jin; Marco Renzi; Letizia Tanca (Data Sci. Eng., 2021)

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

Bias Score: Estimating Gender Bias in Sentence Representations. - Fabio Azzalini; Tommaso Dolci; Mara Tanelli (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)

Data integration and ethical quality : fundamental steps of the data analysis pipeline. - Fabio Azzalini (2022)

HEALER: A Data Lake Architecture for Healthcare. - Carlo Manco; Tommaso Dolci; Fabio Azzalini; Enrico Barbierato; Marco Gribaudo; Letizia Tanca (EDBT/ICDT Workshops, 2023)

Workflow Characterization of a Big Data System Model for Healthcare Through Multiformalism. - Tancredi Covioli; Tommaso Dolci; Fabio Azzalini; Davide Piantella; Enrico Barbierato; Marco Gribaudo (EPEW, 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)

An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Records. - Fabio Azzalini; Tommaso Dolci; Marco Vagaggini (CoRR, 2023)

Enhancing domain-aware multi-truth data fusion using copy-based source authority and value similarity. - Fabio Azzalini; Davide Piantella; Emanuele Rabosio; Letizia Tanca (VLDB J., 2023)

Improving Gender-Related Fairness in Sentence Encoders: A Semantics-Based Approach. - Tommaso Dolci; Fabio Azzalini; Mara Tanelli (Data Sci. Eng., 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)