co-author : Roberta Calegari

Hierarchical Knowledge Extraction from Opaque Machine Learning Predictors (AIxIA 2024) — Federico Sabbatini, Roberta Calegari

ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality (AIxIA 2024) — Federico Sabbatini, Roberta Calegari

Bridging machine learning and diagnostics of the ESA LISA space mission with equation discovery via explainable artificial intelligence (2024) — Federico Sabbatini, Catia Grimani, Roberta Calegari

Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems (WOA 2024) — Federico Sabbatini, Christel Sirocchi, Roberta Calegari

Untying black boxes with clustering-based symbolic knowledge extraction (Intelligenza Artificiale, 2024) — Federico Sabbatini, Roberta Calegari

Unmasking the Shadows: Leveraging Symbolic Knowledge Extraction to Discover Biases and Unfairness in Opaque Predictive Models (Aequitas 2024) — Federico Sabbatini, Roberta Calegari

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

Explainable Clustering with CREAM (KR 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

Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm (2023) — Federico Sabbatini, Roberta Calegari

The PSyKE Technology for Trustworthy Artificial Intelligence (AIxIA 2022) — Roberta Calegari, Federico Sabbatini

Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques (ECAI-2023) — Federico Sabbatini, Roberta Calegari

Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents (WOA 2023) — Federico Sabbatini, Roberta Calegari

Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score (ECAI-2023) — Federico Sabbatini, Roberta Calegari

ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (KoDis 2023@KR 2023) — 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 ML predictors in PSyKE: Platform design & experiments (Intelligenza Artificiale, 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

Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper (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