Per Year
- 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
- 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
- On the Evaluation of the Symbolic Knowledge Extracted from Black Boxes (article in journal) — Federico Sabbatini, Roberta Calegari
- Explainable, Transparent Autonomous Agents and Multi-Agent Systems (edited volume) — Davide Calvaresi, Amro Najaar, Andrea Omicini, Reyhan Aydogan, Rachele Carli, Giovanni Ciatto, Joris Hulstijn, Kary Främling
- 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
- Anonymous Federated Learning via Named-Data Networking (article in journal) — Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti
- An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation (paper in proceedings) — Andrea Rafanelli, Matteo Magnini, Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
publications
without
Google Scholar ID
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2024
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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