Tag
9
documenti
/
tag : symbolic knowledge extraction
/
EXPECTATION
Symbolic Knowledge Extraction via PSyKE. A Tutorial (PRIMA 2022, 16/11/2022) — Giovanni Ciatto (Giovanni Ciatto, Matteo Magnini, Federico Sabbatini)
Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model (articolo in atti, 2022) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
Bridging Symbolic and Sub-Symbolic AI: Towards Cooperative Transfer Learning in Multi-Agent Systems (AIxIA 2022, 29/11/2022) — Matteo Magnini (Matteo Magnini, Giovanni Ciatto, Andrea Omicini)
On the Evaluation of the Symbolic Knowledge Extracted from Black Boxes (AAAI Spring Symposium 2023 – AITA: AI Trustworthiness Assessment, 27/03/2023) — Roberta Calegari (Federico Sabbatini, Roberta Calegari)
Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model (WOA 2022, 01/09/2022) — Federico Sabbatini (Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini)
Symbolic Knowledge Extraction for Explainable Nutritional Recommenders (articolo in rivista, 2023) — Matteo Magnini, Giovanni Ciatto, Furkan Cantürk, Reyhan Aydoǧan, Andrea Omicini
XAI: Current Frontiers and the Path Ahead Towards Trustworthy AI (XLoKR 2023 - Explainable Logic-Based Knowledge Representation KR 2023, 02/09/2023) — Roberta Calegari (Roberta Calegari)
Bridging Symbolic and Sub-Symbolic AI: Towards Cooperative Transfer Learning in Multi-Agent Systems (articolo in atti, 2023) — Matteo Magnini, Giovanni Ciatto, Andrea Omicini
Assessing and Enforcing Fairness in the AI Lifecycle (Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023), 23/08/2023) — Roberta Calegari (Roberta Calegari, Gabriel Gonzalez Castane, Michela Milano, Barry O'Sullivan)