Per Sort
- Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems (WOA 2024) — Federico Sabbatini, Christel Sirocchi, Roberta Calegari
- ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality (AIxIA 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
- Hierarchical Knowledge Extraction from Opaque Machine Learning Predictors (AIxIA 2024) — Federico Sabbatini, Roberta Calegari
- 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
- Explainable Clustering with CREAM (KR 2023) — Federico Sabbatini, Roberta Calegari
- ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (KoDis 2023@KR 2023) — Federico Sabbatini, Roberta Calegari
- Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm (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
- The PSyKE Technology for Trustworthy Artificial Intelligence (AIxIA 2022) — Roberta Calegari, Federico Sabbatini
- 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
- Semantic Web-based Interoperability for Intelligent Agents with PSyKE (EXTRAAMAS 2022@AAMAS 2022) — Federico Sabbatini, Giovanni Ciatto, 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
- GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors (EXTRAAMAS 2021@AAMAS 2021) — Federico Sabbatini, Giovanni Ciatto, Andrea Omicini
- On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction (WOA 2021) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
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