tag : StairwAI
12 publications
Towards a Unified Model for Symbolic Knowledge Extraction with Hypercube-Based Methods (article in journal, 2023) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO (paper in proceedings, 2022) — Federico Sabbatini, Roberta Calegari Clustering-Based Approaches for Symbolic Knowledge Extraction (paper in proceedings, 2022) — Federico Sabbatini, Roberta Calegari Logic Programming library for Machine Learning: API design and prototype (paper in proceedings, 2022) — Giovanni Ciatto, Matteo Castigliò, Roberta Calegari Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments (article in journal, 2022) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper (paper in proceedings, 2022) — Federico Sabbatini, Roberta Calegari Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model (paper in proceedings, 2022) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini A Mechanism for Reasoning over Defeasible Preferences in Arg2P (paper in proceedings, 2021) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini, Giovanni Sartor Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: A Roadmap (paper in proceedings, 2021) — Andrea Agiollo, Giovanni Ciatto, Andrea Omicini Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search (paper in proceedings, 2021) — Andrea Agiollo, Giovanni Ciatto, Andrea Omicini On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction (paper in proceedings, 2021) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors (paper in proceedings, 2021) — Federico Sabbatini, Giovanni Ciatto, Andrea Omicini