Per Year
- ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Unmasking the Shadows: Leveraging Symbolic Knowledge Extraction to Discover Biases and Unfairness in Opaque Predictive Models (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Hierarchical Knowledge Extraction from Opaque Machine Learning Predictors (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems (paper in proceedings) — Federico Sabbatini, Christel Sirocchi, Roberta Calegari
- ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model (paper in proceedings) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
- Clustering-Based Approaches for Symbolic Knowledge Extraction (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction (paper in proceedings) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
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