StairwAI
Info | Partners | Publications | Talks | Tags | Acknowledgement |
- FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System (paper in proceedings, 2023) — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
- 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
- Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO (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
- GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors (paper in proceedings, 2021) — Federico Sabbatini, Giovanni Ciatto, 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