Per anno
- Unmasking the Shadows: Leveraging Symbolic Knowledge Extraction to Discover Biases and Unfairness in Opaque Predictive Models (articolo in atti) — Federico Sabbatini, Roberta Calegari
- Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems (articolo in atti) — Federico Sabbatini, Christel Sirocchi, Roberta Calegari
- ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (articolo in atti) — Federico Sabbatini, Roberta Calegari
- Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm (articolo in atti) — Federico Sabbatini, Roberta Calegari
- Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents (articolo in atti) — Federico Sabbatini, Roberta Calegari
- Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model (articolo in atti) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
- Clustering-Based Approaches for Symbolic Knowledge Extraction (articolo in atti) — Federico Sabbatini, Roberta Calegari
- On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction (articolo in atti) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
0000-0002-0532-6777