Per Year
- 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
- Perspectives and Challenges of Telemedicine and Artificial Intelligence in Pediatric Dermatology (article in journal) — Daniele Zama, Andrea Borghesi, Alice Ranieri, Elisa Manieri, Luca Pierantoni, Laura Andreozzi, Arianna Dondi, Iria Neri, Marcello Lanari, Roberta Calegari
- 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
- Blending BDI agents with object-oriented and functional programming with JaKtA (article in journal) — Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini
- 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
- 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
- The Cognitive Hourglass: Agent Abstractions in the Large Models Era (paper in proceedings) — Alessandro Ricci, Stefano Mariani, Franco Zambonelli, Samuele Burattini, Cristiano Castelfranchi
- Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems (paper in proceedings) — Federico Sabbatini, Christel Sirocchi, Roberta Calegari
publications
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Google Scholar ID
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2024
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personal
Andrea Agiollo
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Roberta Calegari
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Giovanni Ciatto
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Enrico Denti
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Matteo Magnini
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Mattia Matteini
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Sara Montagna
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Andrea Omicini
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Giuseppe Pisano
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Federico Sabbatini