tag : StairwAI
8 publications / Giovanni Ciatto
Towards a Unified Model for Symbolic Knowledge Extraction with Hypercube-Based Methods (Intelligenza Artificiale, 2023) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments (Intelligenza Artificiale, 2022) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model (WOA 2022) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
Logic Programming library for Machine Learning: API design and prototype (CILC 2022) — Giovanni Ciatto, Matteo Castigliò, Roberta Calegari
Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search (EXTRAAMAS 2021@AAMAS 2021) — Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction (WOA 2021) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors (EXTRAAMAS 2021@AAMAS 2021) — Federico Sabbatini, Giovanni Ciatto, Andrea Omicini
Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: A Roadmap (WOA 2021) — Andrea Agiollo, Giovanni Ciatto, Andrea Omicini