Per anno
- Fairness and Bias in AI (numero speciale) — Roberta Calegari, Andrea Aler Tubella, Virginia Dignum, Michela Milano
- ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality (articolo in atti) — Federico Sabbatini, Roberta Calegari
- 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
- 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
- The Cognitive Hourglass: Agent Abstractions in the Large Models Era (articolo in atti) — Alessandro Ricci, Stefano Mariani, Franco Zambonelli, Samuele Burattini, Cristiano Castelfranchi
- Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and Summarization (articolo in atti) — Andrea Agiollo, Young In Kim, Rajiv Khanna
pubblicazioni
senza
IRIS ID
/
2024
/
personali
Andrea Agiollo
•
Roberta Calegari
•
Giovanni Ciatto
•
Cristian Cosci
•
Angelo Croatti
•
Enrico Denti
•
Matteo Magnini
•
Sara Montagna
•
Andrea Omicini
•
Giuseppe Pisano
•
Andrea Rafanelli
•
Federico Sabbatini