tag : black-box regressors
5 publications / Roberta Calegari
On the Evaluation of the Symbolic Knowledge Extracted from Black Boxes (2024) — Federico Sabbatini, Roberta Calegari
Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper (2022) — Federico Sabbatini, Roberta Calegari
Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model (WOA 2022) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO (KR 2022) — Federico Sabbatini, Roberta Calegari
Clustering-Based Approaches for Symbolic Knowledge Extraction (2022) — Federico Sabbatini, Roberta Calegari
— Products
2P
LPaaS
Arg-tuProlog
— Events
WOA 2021
— Projects
CompuLaw
— Associations
AIxIA
— Courses
Foundations of Informatics T-2
Multi-agent Systems (module 2)
Sem. Coding for Lawyers