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Fabio Azzalini
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2020 – today
- 2024
- [c18]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 - 2023
- [j4]Tommaso Dolci, Fabio Azzalini, Mara Tanelli:
Improving Gender-Related Fairness in Sentence Encoders: A Semantics-Based Approach. Data Sci. Eng. 8(2): 177-195 (2023) - [j3]Fabio Azzalini, Davide Piantella, Emanuele Rabosio, Letizia Tanca:
Enhancing domain-aware multi-truth data fusion using copy-based source authority and value similarity. VLDB J. 32(3): 475-500 (2023) - [c17]Carlo Manco, Tommaso Dolci, Fabio Azzalini, Enrico Barbierato, Marco Gribaudo, Letizia Tanca:
HEALER: A Data Lake Architecture for Healthcare. EDBT/ICDT Workshops 2023 - [c16]Tancredi Covioli, Tommaso Dolci, Fabio Azzalini, Davide Piantella, Enrico Barbierato, Marco Gribaudo:
Workflow Characterization of a Big Data System Model for Healthcare Through Multiformalism. EPEW 2023: 279-293 - [c15]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 - [c14]Fabio Azzalini, Cinzia Cappiello, Chiara Criscuolo, Camilla Sancricca, Letizia Tanca:
Data Quality and Data Ethics: Towards a Trade-off Evaluation. VLDB Workshops 2023 - [i1]Fabio Azzalini, Tommaso Dolci, Marco Vagaggini:
An Interpretable Deep-Learning Framework for Predicting Hospital Readmissions From Electronic Health Records. CoRR abs/2310.10187 (2023) - 2022
- [b1]Fabio Azzalini:
Data integration and ethical quality : fundamental steps of the data analysis pipeline. Polytechnic University of Milan, Italy, 2022 - [j2]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) - [c13]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 - [c12]Fabio Azzalini, Chiara Criscuolo, Letizia Tanca:
FAIR-DB: A system to discover unfairness in datasets. ICDE 2022: 3494-3497 - [c11]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 - [c10]Fabio Azzalini, Tommaso Dolci, Mara Tanelli:
Bias Score: Estimating Gender Bias in Sentence Representations. SEBD 2022: 554-561 - [c9]Fabio Azzalini, Chiara Criscuolo, Letizia Tanca:
Functional Dependencies to Mitigate Data Bias. SEBD 2022: 562-569 - 2021
- [j1]Fabio Azzalini, Songle Jin, Marco Renzi, Letizia Tanca:
Blocking Techniques for Entity Linkage: A Semantics-Based Approach. Data Sci. Eng. 6(1): 20-38 (2021) - [c8]Fabio Azzalini, Chiara Criscuolo, Letizia Tanca:
FAIR-DB: FunctionAl DependencIes to discoveR Data Bias. EDBT/ICDT Workshops 2021 - [c7]Fabio Azzalini, Chiara Criscuolo, Letizia Tanca:
A short account of FAIR-DB: a system to discover Data Bias (Discussion Paper). SEBD 2021: 192-199 - [c6]Patrizia Agnello, Silvia Maria Ansaldi, Fabio Azzalini, Giovanni Gangemi, Davide Piantella, Emanuele Rabosio, Letizia Tanca:
Extraction of Medical Concepts from Italian Natural Language Descriptions (Discussion Paper). SEBD 2021: 275-282 - 2020
- [c5]Fabio Azzalini, Marco Renzi, Letizia Tanca:
A Deep-Learning-Based Blocking Technique for Entity Linkage. DASFAA (1) 2020: 553-569
2010 – 2019
- 2019
- [c4]Davide Azzalini, Fabio Azzalini, Mirjana Mazuran, Letizia Tanca:
Evolution of Financial Time Series Clusters. SEBD 2019 - [c3]Fabio Azzalini, Davide Piantella, Letizia Tanca:
Data Fusion with Source Authority and Multiple Truth. SEBD 2019 - [c2]Davide Azzalini, Fabio Azzalini, Mirjana Mazuran, Letizia Tanca:
Tracking the Evolution of Financial Time Series Clusters. DSMM@SIGMOD 2019: 4:1-4:5 - 2017
- [c1]Davide Azzalini, Fabio Azzalini, Davide Greco, Mirjana Mazuran, Letizia Tanca:
Event Recognition Strategies applied in the Mercurio Project. MIDAS@PKDD/ECML 2017: 29-30
Coauthor Index
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last updated on 2024-08-05 21:13 CEST by the dblp team
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