Per Year

7 publications without ACM ID / 2024

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
From Large Language Models to Small Logic Programs: Building Global Explanations from Disagreeing Local Post-hoc Explainers (article in journal) — Andrea Agiollo, Luciano Cavalcante Siebert, Pradeep Kumar Murukannaiah, Andrea Omicini
Anonymous Federated Learning via Named-Data Networking (article in journal) — Andrea Agiollo, Enkeleda Bardhi, Mauro Conti, Nicolò Dal Fabbro, Riccardo Lazzeretti
EneA-FL: Energy-aware Orchestration for Serverless Federated Learning (article in journal) — Andrea Agiollo, Paolo Bellavista, Matteo Mendula, Andrea Omicini
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

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publications without ACM ID / 2024 / personal