Per anno
- Bridging machine learning and diagnostics of the ESA LISA space mission with equation discovery via explainable artificial intelligence (articolo in rivista) — Federico Sabbatini, Catia Grimani, Roberta Calegari
- ICE: An Evaluation Metric to Assess Symbolic Knowledge Quality (articolo in atti) — Federico Sabbatini, Roberta Calegari
- Untying black boxes with clustering-based symbolic knowledge extraction (articolo in rivista) — Federico Sabbatini, Roberta Calegari
- Unmasking the Shadows: Leveraging Symbolic Knowledge Extraction to Discover Biases and Unfairness in Opaque Predictive Models (articolo in atti) — Federico Sabbatini, Roberta Calegari
- On the Evaluation of the Symbolic Knowledge Extracted from Black Boxes (articolo in rivista) — Federico Sabbatini, Roberta Calegari
- Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review (articolo in rivista) — Giovanni Ciatto, Federico Sabbatini, Andrea Agiollo, Matteo Magnini, Andrea Omicini
- Hierarchical Knowledge Extraction from Opaque Machine Learning Predictors (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
0000-0002-0532-6777