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
- ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Towards a Unified Model for Symbolic Knowledge Extraction with Hypercube-Based Methods (article in journal) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
- Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Explainable Clustering with CREAM (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- The PSyKE Technology for Trustworthy Artificial Intelligence (paper in proceedings) — Roberta Calegari, Federico Sabbatini
- Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments (article in journal) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
- Semantic Web-based Interoperability for Intelligent Agents with PSyKE (paper in proceedings) — Federico Sabbatini, Giovanni Ciatto, Andrea Omicini
- Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper (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
- Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO (paper in proceedings) — Federico Sabbatini, Roberta Calegari
- 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
- GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors (paper in proceedings) — Federico Sabbatini, Giovanni Ciatto, Andrea Omicini
- Recurrent Galactic Cosmic-Ray Flux Modulation in L1 and Geomagnetic Activity during the Declining Phase of the Solar Cycle 24 (article in journal) — Catia Grimani, Andrea Cesarini, Michele Fabi, Federico Sabbatini, Daniele Telloni, Mattia Villani
- Characteristics and Energy Dependence of Recurrent Galactic Cosmic-Ray Flux Depressions and of a Forbush Decrease with LISA Pathfinder (article in journal) — M. Armano, H. Audley, J. Baird, M. Bassan, S. Benella, P. Binetruy, M. Born, D. Bortoluzzi, A. Cavalleri, A. Cesarini, A. M. Cruise, K. Danzmann, K. de Deus Silva, I. Diepholz, G. Dixon, R. Dolesi, M. Fabi, L. Ferraioli, V. Ferroni, N. Finetti, E. D. Fitzsimons, M. Freschi, L. Gesa, F. Gibert, D. Giardini, R. Giusteri, C. Grimani, J. Grzymisch, I. Harrison, G. Heinzel, M. Hewitson, D. Hollington, D. Hoyland, M. Hueller, H. Inchauspé, O. Jennrich, P. Jetzer, N. Karnesis, B. Kaune, N. Korsakova, C. J. Killow, M. Laurenza, J. A. Lobo, I. Lloro, L. Liu, J. P. López-Zaragoza, R. Maarschalkerweerd, D. Mance, V. Martín, L. Martin-Polo, J. Martino, F. Martin-Porqueras, I. Mateos, P. W. McNamara, J. Mendes, L. Mendes, M. Nofrarias, S. Paczkowski, M. Perreur-Lloyd, A. Petiteau, P. Pivato, E. Plagnol, J. Ramos-Castro, J. Reiche, D. I. Robertson, F. Rivas, G. Russano, Federico Sabbatini, J. Slutsky, C. F. Sopuerta, T. Sumner, D. Tellon, D. Texier, J. I. Thorpe, D. Vetrugno, S. Vitale, G. Wanner, H. Ward, P. Wass, W. J. Weber, L. Wissel, A. Wittchen, A. Zambotti, C. Zanoni, P. Zweifel