co-author : Roberta Calegari
16
publications
with
Federico Sabbatini
On the Evaluation of the Symbolic Knowledge Extracted from Black Boxes (2024) — Federico Sabbatini, Roberta Calegari
Towards a Unified Model for Symbolic Knowledge Extraction with Hypercube-Based Methods (Intelligenza Artificiale, 2023) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents (WOA 2023) — Federico Sabbatini, Roberta Calegari
Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors (EXTRAAMAS 2023@AAMAS 2023) — Federico Sabbatini, Roberta Calegari
Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score (ECAI-2023) — Federico Sabbatini, Roberta Calegari
Explainable Clustering with CREAM (KR 2023) — Federico Sabbatini, Roberta Calegari
Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm (2023) — Federico Sabbatini, Roberta Calegari
Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques (ECAI-2023) — Federico Sabbatini, Roberta Calegari
The PSyKE Technology for Trustworthy Artificial Intelligence (AIxIA 2022) — Roberta Calegari, Federico Sabbatini
ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (KoDis 2023@KR 2023) — Federico Sabbatini, Roberta Calegari
Clustering-Based Approaches for Symbolic Knowledge Extraction (2022) — Federico Sabbatini, Roberta Calegari
Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments (Intelligenza Artificiale, 2022) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
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
On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction (WOA 2021) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini