Fine-Tuning Language Models to Mitigate Gender Bias in Sentence Encoders. - Tommaso Dolci (BigDataService, 2022)

SoCRATe: A Recommendation System with Limited-Availability Items. - Davide Azzalini; Fabio Azzalini; Chiara Criscuolo; Tommaso Dolci; Davide Martinenghi; Sihem Amer-Yahia (CIKM, 2022)

Towards Assessing Data Bias in Clinical Trials. - Chiara Criscuolo; Tommaso Dolci; Mattia Salnitri (Poly/DMAH@VLDB, 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)

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

BioVec-Ita: Biomedical Word Embeddings for the Italian Language. - Marcello Bavaro; Tommaso Dolci; Davide Piantella (SEBD, 2023)

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

Improving Gender-Related Fairness in Sentence Encoders: A Semantics-Based Approach. - Tommaso Dolci; Fabio Azzalini; Mara Tanelli (Data Sci. Eng., 2023)

A multi-faceted analysis of the performance variability of virtual machines. - Luciano Baresi; Tommaso Dolci; Giovanni Quattrocchi; Nicholas Rasi (Softw. Pract. Exp., 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)

Exploring Fairness Interpretability with FairnessFriend: A Chatbot Solution. - Chiara Criscuolo; Tommaso Dolci (ICDEW, 2024)

A Conceptual Framework for Quality Assurance of LLM-based Socio-critical Systems. - Luciano Baresi; Matteo Camilli; Tommaso Dolci; Giovanni Quattrocchi (ASE, 2024)

Mitigating Unfairness in Machine Learning: A Taxonomy and an Evaluation Pipeline. - Chiara Criscuolo; Tommaso Dolci; Mattia Salnitri (SEBD, 2024)

On Assessing Heterogeneity Management Solutions in Federated Learning Systems. - Luciano Baresi; Tommaso Dolci; Iyad Wehbe (UCC, 2024)