Per anno
7
presentazioni
/
2021–2022
/
Federico Sabbatini
- Symbolic Knowledge Extraction via PSyKE. A Tutorial (tutorial, PRIMA 2022) — Giovanni Ciatto (Giovanni Ciatto, Matteo Magnini, Federico Sabbatini)
- Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model (presentazione, WOA 2022) — Federico Sabbatini (Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini)
- Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO (presentazione, KR 2022) — Roberta Calegari (Federico Sabbatini, Roberta Calegari)
- Clustering-Based Approaches for Symbolic Knowledge Extraction (presentazione, KR 2022 – ML Session@KR 2022) — Roberta Calegari (Federico Sabbatini, Roberta Calegari)
- Semantic Web-based Interoperability for Intelligent Agents with PSyKE (presentazione, EXTRAAMAS 2022@AAMAS 2022) — Federico Sabbatini (Federico Sabbatini, Giovanni Ciatto, Andrea Omicini)
- On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction (presentazione, WOA 2021) — Federico Sabbatini (Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini)
- GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors (presentazione, EXTRAAMAS 2021@AAMAS 2021) — Federico Sabbatini (Federico Sabbatini, Giovanni Ciatto, Andrea Omicini)
0000-0002-0532-6777