Per anno
18
presentazioni
/
2022–2024
/
Matteo Magnini
- Enforcing Fairness via Constraint Injection with FaUCI (presentazione) — Matteo Magnini (Matteo Magnini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini)
- We Were Deep in NeSy When LLM Happened (invitata, Large and Small Language Models: stato dell’arte fra limiti e prospettive) — Andrea Omicini (Andrea Omicini, Andrea Agiollo, Giovanni Ciatto, Matteo Magnini)
- An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation (presentazione, WOA 2024) — Andrea Agiollo (Andrea Rafanelli, Matteo Magnini, Andrea Agiollo, Giovanni Ciatto, Andrea Omicini)
- Actively Learning Ontologies from LLMs: First Results (presentazione, DL2024) — Matteo Magnini (Matteo Magnini, Ana Ozaki, Riccardo Squarcialupi)
- Large Language Models as Oracles for Instantiating Ontologies with Domain-Specific Knowledge (progetto, ENGINES Kick-off Meeting) — Giovanni Ciatto (Giovanni Ciatto, Andrea Agiollo, Matteo Magnini, Andrea Omicini)
- Mitigating Intersectional Fairness: a Practical Approach with FaUCI (presentazione, AIMMES2024) — Matteo Magnini (Matteo Magnini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini)
- Symbolic Transfer Learning through Knowledge Manipulation Methods (presentazione, KR 2023 Doctoral Consortium@KR 2023) — Matteo Magnini (Matteo Magnini)
- eXplainable Artificial Intelligence (XAI): A Gentle Introduction (lezione, ASAI-ER 2023) — Matteo Magnini (Matteo Magnini, Giovanni Ciatto, Andrea Omicini)
- A General-Purpose Protocol for Multi-Agent based Explanations (presentazione, EXTRAAMAS 2023@AAMAS 2023) — Giovanni Ciatto (Giovanni Ciatto, Matteo Magnini, Berk Buzcu, Reyhan Aydoğan, Andrea Omicini)
- eXplainable Artificial Intelligence (XAI): A Gentle Introduction (lezione, Programma formativo BBS “BPER – Data Analytics”) — Andrea Omicini, Giovanni Ciatto, Matteo Magnini (Matteo Magnini, Giovanni Ciatto, Andrea Omicini)
- Bridging Symbolic and Sub-Symbolic AI: Towards Cooperative Transfer Learning in Multi-Agent Systems (presentazione, AIxIA 2022) — Matteo Magnini (Matteo Magnini, Giovanni Ciatto, Andrea Omicini)
- Symbolic Knowledge Injection via PSyKI. A Tutorial (tutorial, PRIMA 2022) — Giovanni Ciatto (Giovanni Ciatto, Matteo Magnini)
- Symbolic Knowledge Extraction via PSyKE. A Tutorial (tutorial, PRIMA 2022) — Giovanni Ciatto (Giovanni Ciatto, Matteo Magnini, Federico Sabbatini)
- Dive into Symbolic Knowledge Extraction & Injection: gentle introduction and technologies (seminario, KDD Lab reading group 2022, University of Pisa) — Matteo Magnini (Matteo Magnini, Giovanni Ciatto)
- A view to a KILL: Knowledge Injection via Lambda Layer (presentazione, WOA 2022) — Matteo Magnini (Matteo Magnini, Giovanni Ciatto, Andrea Omicini)
- KINS: Knowledge Injection via Network Structuring (presentazione, CILC 2022) — Matteo Magnini (Matteo Magnini, Giovanni Ciatto, Andrea Omicini)
- SKI: Symbolic Knowledge Injection, state of the art and research perspectives (progetto, EXPECTATION Meeting) — Matteo Magnini (Matteo Magnini, Giovanni Ciatto, Andrea Omicini)
- On the Design of PSyKI: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors (presentazione, EXTRAAMAS 2022@AAMAS 2022) — Matteo Magnini (Matteo Magnini, Giovanni Ciatto, Andrea Omicini)
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