Per Sort
- An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation (WOA 2024) — Andrea Rafanelli, Matteo Magnini, Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
- Actively Learning Ontologies from LLMs: First Results (Extended Abstract) (DL 2024) — Matteo Magnini, Ana Ozaki, Riccardo Squarcialupi
- LLM-based Solutions for Healthcare Chatbots: a Comparative Analysis (TELMED 2024) — Sara Montagna, Gianluca Aguzzi, Stefano Ferretti, Martino Francesco Pengo, Lorenz Cuno Klopfenstein, Michelangelo Ungolo, Matteo Magnini
- A General-Purpose Protocol for Multi-Agent based Explanations (EXTRAAMAS 2023@AAMAS 2023) — Giovanni Ciatto, Matteo Magnini, Berk Bezcu, Reyhan Aydogan, Andrea Omicini
- Bridging Symbolic and Sub-Symbolic AI: Towards Cooperative Transfer Learning in Multi-Agent Systems (AIxIA 2022) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini
- On the Design of PSyKI: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors (EXTRAAMAS 2022@AAMAS 2022) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini
- A view to a KILL: Knowledge Injection via Lambda Layer (WOA 2022) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini
- KINS: Knowledge Injection via Network Structuring (CILC 2022) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini
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