Per Year

18 publications without Google Scholar ID / 2024

2024

Proceedings of the 2nd Workshop on Fairness and Bias in AI co-located with 27th European Conference on Artificial Intelligence (ECAI 2024) (edited volume) — Roberta Calegari, Virginia Dignum, Barry O'Sullivan
Fairness and Bias in AI (special issue) — Roberta Calegari, Andrea Aler Tubella, Virginia Dignum, Michela Milano
Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method (paper in proceedings) — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
Generation of Clinical Skin Images with Pathology with Scarce Data (paper in proceedings) — Andrea Borghesi, Roberta Calegari
Bridging machine learning and diagnostics of the ESA LISA space mission with equation discovery via explainable artificial intelligence (article in journal) — Federico Sabbatini, Catia Grimani, Roberta Calegari
ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality (paper in proceedings) — Federico Sabbatini, Roberta Calegari
Untying black boxes with clustering-based symbolic knowledge extraction (article in journal) — Federico Sabbatini, Roberta Calegari
Actively Learning Ontologies from LLMs: First Results (Extended Abstract) (paper in proceedings) — Matteo Magnini, Ana Ozaki, Riccardo Squarcialupi
LLM-based Solutions for Healthcare Chatbots: a Comparative Analysis (paper in proceedings) — Sara Montagna, Gianluca Aguzzi, Stefano Ferretti, Martino Francesco Pengo, Lorenz Cuno Klopfenstein, Michelangelo Ungolo, Matteo Magnini
Unmasking the Shadows: Leveraging Symbolic Knowledge Extraction to Discover Biases and Unfairness in Opaque Predictive Models (paper in proceedings) — Federico Sabbatini, Roberta Calegari
On the Evaluation of the Symbolic Knowledge Extracted from Black Boxes (article in journal) — Federico Sabbatini, Roberta Calegari
Preface (editorial/introduction/preface) — Davide Calvaresi, Amro Najaar, Andrea Omicini, Kary Främling
Special Issue on Trustworthy AI (special issue) — Roberta Calegari, Fosca Giannotti, Francesca Pratesi, Michela Milano
Long-Term Fairness Strategies in Ranking with Continuous Sensitive Attributes (paper in proceedings) — Luca Giuliani, Eleonora Misino, Roberta Calegari, Michele Lombardi
Hierarchical Knowledge Extraction from Opaque Machine Learning Predictors (paper in proceedings) — Federico Sabbatini, Roberta Calegari
Anonymous Federated Learning via Named-Data Networking (article in journal) — Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti
AI-fairness and equality of opportunity: a case study on educational achievement (paper in proceedings) — Ángel S. Marrero, Gustavo A. Marrero, Carlos Bethencourt, Liam James, Roberta Calegari
Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems (paper in proceedings) — Federico Sabbatini, Christel Sirocchi, Roberta Calegari

18 publications in 2024 without Google Scholar ID • top • index • bottom

publications without Google Scholar ID / 2024 / personal

Andrea Agiollo • Roberta Calegari • Giovanni Ciatto • Cristian Cosci • Angelo Croatti • Enrico Denti • Matteo Magnini • Sara Montagna • Andrea Omicini • Giuseppe Pisano • Andrea Rafanelli • Federico Sabbatini