MAGNINI, MATTEO
MAGNINI, MATTEO
DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA
Dottorandi
Actively Learning Ontologies from LLMs: First Results (Extended Abstract)
2024 Matteo Magnini, Ana Ozaki, Riccardo Squarcialupi
An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation
2024 Andrea Rafanelli, Matteo Magnini, Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
Enforcing Fairness via Constraint Injection with FaUCI
2024 Matteo Magnini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
LLM-based Solutions for Healthcare Chatbots: a Comparative Analysis
2024 Montagna S.; Aguzzi G.; Ferretti S.; Pengo M.F.; Klopfenstein L.C.; Ungolo M.; Magnini M.
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review
2024 Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini
A General-Purpose Protocol for Multi-Agent based Explanations
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
2023 Matteo Magnini, Giovanni Ciatto, Andrea Omicini
Knowledge injection of Datalog rules via Neural Network Structuring with KINS
2023 Matteo Magnini, Giovanni Ciatto, Andrea Omicini
Symbolic knowledge extraction for explainable nutritional recommenders
2023 Matteo Magnini, Giovanni Ciatto, Furkan Cantürk, Reyhan Aydoğan, Andrea Omicini
Symbolic Knowledge Injection meets Intelligent Agents: QoS metrics and experiments
2023 Andrea Agiollo, Andrea Rafanelli, Matteo Magnini, Giovanni Ciatto, Andrea Omicini
A view to a KILL: Knowledge Injection via Lambda Layer
2022 Matteo Magnini, Giovanni Ciatto, Andrea Omicini
KINS: Knowledge Injection via Network Structuring
2022 Matteo Magnini, Giovanni Ciatto, Andrea Omicini
On the Design of PSyKI: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors
2022 Matteo Magnini, Giovanni Ciatto, Andrea Omicini
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| Actively Learning Ontologies from LLMs: First Results (Extended Abstract) | Matteo Magnini, Ana Ozaki, Riccardo Squarcialupi | 2024-01-01 | - | CEUR-WS.org | 4.02 Riassunto (Abstract) | - |
| An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation | Andrea Rafanelli, Matteo Magnini, Andrea Agiollo, Giovanni Ciatto, Andrea Omicini | 2024-01-01 | - | Sun SITE Central Europe, RWTH Aachen University | 4.01 Contributo in Atti di convegno | paper_02.pdf |
| Enforcing Fairness via Constraint Injection with FaUCI | Matteo Magnini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini | 2024-01-01 | - | CEUR-WS | 4.01 Contributo in Atti di convegno | - |
| LLM-based Solutions for Healthcare Chatbots: a Comparative Analysis | Montagna S.; Aguzzi G.; Ferretti S.; Pengo M.F.; Klopfenstein L.C.; Ungolo M.; Magnini M. | 2024-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
| Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review | Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini | 2024-01-01 | ACM COMPUTING SURVEYS | - | 1.01 Articolo in rivista | 3645103.pdf |
| A General-Purpose Protocol for Multi-Agent based Explanations | Giovanni Ciatto, Matteo Magnini, Berk Bezcu, Reyhan Aydogan, Andrea Omicini | 2023-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | pyxmas-extraamas-2023.pdf |
| Bridging Symbolic and Sub-Symbolic AI: Towards Cooperative Transfer Learning in Multi-Agent Systems | Matteo Magnini, Giovanni Ciatto, Andrea Omicini | 2023-01-01 | - | Sun SITE Central Europe, RWTH Aachen University | 4.01 Contributo in Atti di convegno | paper2.pdf |
| Knowledge injection of Datalog rules via Neural Network Structuring with KINS | Matteo Magnini, Giovanni Ciatto, Andrea Omicini | 2023-01-01 | JOURNAL OF LOGIC AND COMPUTATION | - | 1.01 Articolo in rivista | - |
| Symbolic knowledge extraction for explainable nutritional recommenders | Matteo Magnini, Giovanni Ciatto, Furkan Cantürk, Reyhan Aydoğan, Andrea Omicini | 2023-01-01 | COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | - | 1.01 Articolo in rivista | 1-s2.0-S0169260723002018-main.pdf |
| Symbolic Knowledge Injection meets Intelligent Agents: QoS metrics and experiments | Andrea Agiollo, Andrea Rafanelli, Matteo Magnini, Giovanni Ciatto, Andrea Omicini | 2023-01-01 | AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS | - | 1.01 Articolo in rivista | s10458-023-09609-6.pdf |
| A view to a KILL: Knowledge Injection via Lambda Layer | Matteo Magnini, Giovanni Ciatto, Andrea Omicini | 2022-01-01 | - | Sun SITE Central Europe, RWTH Aachen University | 4.01 Contributo in Atti di convegno | - |
| KINS: Knowledge Injection via Network Structuring | Matteo Magnini, Giovanni Ciatto, Andrea Omicini | 2022-01-01 | - | Sun SITE Central Europe (CEUR), Technical University of Aachen (RWTH) | 4.01 Contributo in Atti di convegno | paper_25.pdf |
| On the Design of PSyKI: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors | Matteo Magnini, Giovanni Ciatto, Andrea Omicini | 2022-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | ski-extraamas-2022.pdf |