Per Year
- 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
- Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review (article in journal) — Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, 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
- A General-Purpose Protocol for Multi-Agent based Explanations (paper in proceedings) — Giovanni Ciatto, Matteo Magnini, Berk Bezcu, Reyhan Aydogan, Andrea Omicini
- Knowledge injection of Datalog rules via Neural Network Structuring with KINS (article in journal) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini
- Bridging Symbolic and Sub-Symbolic AI: Towards Cooperative Transfer Learning in Multi-Agent Systems (paper in proceedings) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini
- Symbolic Knowledge Injection meets Intelligent Agents: QoS metrics and experiments (article in journal) — Andrea Agiollo, Andrea Rafanelli, Matteo Magnini, Giovanni Ciatto, Andrea Omicini
- A view to a KILL: Knowledge Injection via Lambda Layer (paper in proceedings) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini
- KINS: Knowledge Injection via Network Structuring (paper in proceedings) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini
- On the Design of PSyKI: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors (paper in proceedings) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini
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