Fabio Azzalini

According to our database, Fabio Azzalini authored at least 24 papers between 2017 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

Improving Gender-Related Fairness in Sentence Encoders: A Semantics-Based Approach.

Tommaso Dolci, Fabio Azzalini, Mara Tanelli

Data Sci. Eng., June, 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., May, 2023

An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Records.

Fabio Azzalini, Tommaso Dolci, Marco Vagaggini

CoRR, 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

Workflow Characterization of a Big Data System Model for Healthcare Through Multiformalism.

Tancredi Covioli, Tommaso Dolci, Fabio Azzalini, Davide Piantella, Enrico Barbierato, Marco Gribaudo

Proceedings of the Computer Performance Engineering and Stochastic Modelling, 2023

HEALER: A Data Lake Architecture for Healthcare.

Carlo Manco, Tommaso Dolci, Fabio Azzalini, Enrico Barbierato, Marco Gribaudo, Letizia Tanca

Proceedings of the Workshops of the EDBT/ICDT 2023 Joint Conference, 2023

2022

Data integration and ethical quality : fundamental steps of the data analysis pipeline.

Fabio Azzalini

PhD thesis, 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

Bias Score: Estimating Gender Bias in Sentence Representations.

Fabio Azzalini, Tommaso Dolci, Mara Tanelli

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

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

Blocking Techniques for Entity Linkage: A Semantics-Based Approach.

Fabio Azzalini, Songle Jin, Marco Renzi, Letizia Tanca

Data Sci. Eng., 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

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

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

2020

A Deep-Learning-Based Blocking Technique for Entity Linkage.

Fabio Azzalini, Marco Renzi, Letizia Tanca

Proceedings of the Database Systems for Advanced Applications, 2020

2019

Tracking the Evolution of Financial Time Series Clusters.

Davide Azzalini, Fabio Azzalini, Mirjana Mazuran, Letizia Tanca

Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets, 2019

Data Fusion with Source Authority and Multiple Truth.

Fabio Azzalini, Davide Piantella, Letizia Tanca

Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

Evolution of Financial Time Series Clusters.

Davide Azzalini, Fabio Azzalini, Mirjana Mazuran, Letizia Tanca

Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

2017

Event Recognition Strategies applied in the Mercurio Project.

Davide Azzalini, Fabio Azzalini, Davide Greco, Mirjana Mazuran, Letizia Tanca

Proceedings of the Second Workshop on MIning DAta for financial applicationS (MIDAS 2017) co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), 2017