VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming. - Eleonora Misino; Giuseppe Marra; Emanuele Sansone (NeurIPS, 2022)

FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System. - Eleonora Misino; Roberta Calegari; Michele Lombardi 001; Michela Milano (AEQUITAS@ECAI, 2023)

An Analysis of Universal Differential Equations for Data-Driven Discovery of Ordinary Differential Equations. - Mattia Silvestri; Federico Baldo; Eleonora Misino; Michele Lombardi 001 (ICCS (4), 2023)

Generalized Disparate Impact for Configurable Fairness Solutions in ML. - Luca Giuliani; Eleonora Misino; Michele Lombardi 001 (ICML, 2023)

Long-Term Fairness Strategies in Ranking with Continuous Sensitive Attributes. - Luca Giuliani; Eleonora Misino; Roberta Calegari; Michele Lombardi 001 (AEQUITAS@ECAI, 2024)

Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method. - Eleonora Misino; Roberta Calegari; Michele Lombardi 001; Michela Milano (IJCAI, 2024)

Let Guidelines Guide You: A Prescriptive Guideline-Centered Data Annotation Methodology. - Federico Ruggeri; Eleonora Misino; Arianna Muti; Katerina Korre; Paolo Torroni; Alberto Barrón-Cedeño (CoRR, 2024)