Per anno
- Fairness and Bias in AI (numero speciale) — Roberta Calegari, Andrea Aler Tubella, Virginia Dignum, Michela Milano
- Ensuring Fairness Stability for Disentangling Social Inequality in Access to Education: the FAiRDAS General Method (articolo in atti) — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
- Generation of Clinical Skin Images with Pathology with Scarce Data (articolo in atti) — Andrea Borghesi, Roberta Calegari
- Bridging machine learning and diagnostics of the ESA LISA space mission with equation discovery via explainable artificial intelligence (articolo in rivista) — Federico Sabbatini, Catia Grimani, Roberta Calegari
- ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality (articolo in atti) — Federico Sabbatini, Roberta Calegari
- Untying black boxes with clustering-based symbolic knowledge extraction (articolo in rivista) — Federico Sabbatini, Roberta Calegari
- Actively Learning Ontologies from LLMs: First Results (Extended Abstract) (articolo in atti) — Matteo Magnini, Ana Ozaki, Riccardo Squarcialupi
- LLM-based Solutions for Healthcare Chatbots: a Comparative Analysis (articolo in atti) — 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 (articolo in atti) — Federico Sabbatini, Roberta Calegari
- On the Evaluation of the Symbolic Knowledge Extracted from Black Boxes (articolo in rivista) — Federico Sabbatini, Roberta Calegari
- Preface (editoriale/introduzione/prefazione) — Davide Calvaresi, Amro Najaar, Andrea Omicini, Kary Främling
- Special Issue on Trustworthy AI (numero speciale) — Roberta Calegari, Fosca Giannotti, Francesca Pratesi, Michela Milano
- Long-Term Fairness Strategies in Ranking with Continuous Sensitive Attributes (articolo in atti) — Luca Giuliani, Eleonora Misino, Roberta Calegari, Michele Lombardi
- Hierarchical Knowledge Extraction from Opaque Machine Learning Predictors (articolo in atti) — Federico Sabbatini, Roberta Calegari
- Anonymous Federated Learning via Named-Data Networking (articolo in rivista) — Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti
- AI-fairness and equality of opportunity: a case study on educational achievement (articolo in atti) — Ángel S. Marrero, Gustavo A. Marrero, Carlos Bethencourt, Liam James, Roberta Calegari
- Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems (articolo in atti) — Federico Sabbatini, Christel Sirocchi, Roberta Calegari
pubblicazioni
senza
Google Scholar ID
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2024
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personali
Andrea Agiollo
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Roberta Calegari
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Giovanni Ciatto
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Cristian Cosci
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Angelo Croatti
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Enrico Denti
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Matteo Magnini
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Sara Montagna
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Andrea Omicini
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Giuseppe Pisano
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Andrea Rafanelli
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Federico Sabbatini