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
- Concurrency Model of BDI Programming Frameworks: Why Should We Control It? (articolo in atti) — Martina Baiardi, Samuele Burattini, Giovanni Ciatto, Danilo Pianini, Alessandro Ricci, Andrea Omicini
- 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
- On the Evaluation of the Symbolic Knowledge Extracted from Black Boxes (articolo in rivista) — Federico Sabbatini, Roberta Calegari
- Explainable, Transparent Autonomous Agents and Multi-Agent Systems (curatela) — Davide Calvaresi, Amro Najaar, Andrea Omicini, Reyhan Aydogan, Rachele Carli, Giovanni Ciatto, Joris Hulstijn, Kary Främling
- Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review (articolo in rivista) — Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini
- From Large Language Models to Small Logic Programs: Building Global Explanations from Disagreeing Local Post-hoc Explainers (articolo in rivista) — Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep Kumar Murukannaiah, Andrea Omicini
- 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
- Anonymous Federated Learning via Named-Data Networking (articolo in rivista) — Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti
- EneA-FL: Energy-aware Orchestration for Serverless Federated Learning (articolo in rivista) — Andrea Agiollo, Paolo Bellavista, Matteo Mendula, Andrea Omicini
- An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation (articolo in atti) — Andrea Rafanelli, Matteo Magnini, Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
- Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and Summarization (articolo in atti) — Andrea Agiollo, Young In Kim, Rajiv Khanna
pubblicazioni
senza
IEEE No
/
2024
/
personali
Andrea Agiollo
•
Roberta Calegari
•
Giovanni Ciatto
•
Angelo Croatti
•
Enrico Denti
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Matteo Magnini
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Sara Montagna
•
Andrea Omicini
•
Giuseppe Pisano
•
Andrea Rafanelli
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Federico Sabbatini