Per Year
- Bridging machine learning and diagnostics of the ESA LISA space mission with equation discovery via explainable artificial intelligence (article in journal) — Federico Sabbatini, Catia Grimani, Roberta Calegari
- ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Untying black boxes with clustering-based symbolic knowledge extraction (article in journal) — 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
- On the Evaluation of the Symbolic Knowledge Extracted from Black Boxes (article in journal) — Federico Sabbatini, Roberta Calegari
- Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review (article in journal) — Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini
- 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
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