Per anno
9
presentazioni
/
2021
/
Giovanni Ciatto
- Probabilistic logic programming in 2P-Kt (presentazione, AIxIA 2021) — Giovanni Ciatto (Jason Dellaluce, Roberta Calegari, Giovanni Ciatto)
- Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: a Roadmap (presentazione, WOA 2021) — Andrea Agiollo (Andrea Agiollo, 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)
- Lazy Stream Manipulation in Prolog via Backtracking: The Case of 2P-Kt (presentazione, JELIA 2021) — Giovanni Ciatto (Giovanni Ciatto, Roberta Calegari, Andrea Omicini)
- Logic-based Technologies for Multi-agent Systems: Summary of a Systematic Literature Review (presentazione, AAMAS 2021) — Viviana Mascardi (Roberta Calegari, Giovanni Ciatto, Viviana Mascardi, Andrea Omicini)
- Towards Explainable Visionary Agents: License to Dare and Imagine (presentazione, EXTRAAMAS 2021 @ AAMAS 2021) — Amro Najjar (Giovanni Ciatto, Amro Najjar, Jean-Paul Calbimonte, Davide Calvaresi)
- Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search (presentazione, EXTRAAMAS 2021 @ AAMAS 2021) — Andrea Agiollo (Andrea Agiollo, Giovanni Ciatto, 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)
- Machine Learning: Classification and Regression (From the Software Engineer Perspective) (presentazione, Spritenario 2021) — Giovanni Ciatto (Giovanni Ciatto)
0000-0002-1841-8996