| Characteristics and energy dependence of recurrent galactic cosmic-ray flux depressions and of a Forbush decrease with LISA Pathfinder M Armano, H Audley, J Baird, M Bassan, S Benella, P Binetruy, M Born, ... The Astrophysical Journal 854 (2), 113, 2018 | 44 | 2018 |
| On the design of PSyKE: a platform for symbolic knowledge extraction F Sabbatini, G Ciatto, R Calegari, A Omicini CEUR WORKSHOP PROCEEDINGS 2963, 29-48, 2021 | 24 | 2021 |
| GridEx: An algorithm for knowledge extraction from black-box regressors F Sabbatini, G Ciatto, A Omicini Explainable and Transparent AI and Multi-Agent Systems: Third International …, 2021 | 23 | 2021 |
| Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments F Sabbatini, G Ciatto, R Calegari, A Omicini Intelligenza Artificiale 16 (1), 27-48, 2022 | 19* | 2022 |
| Bridging the gap between Monte Carlo simulations and measurements of the LISA Pathfinder test-mass charging for LISA C Grimani, M Villani, M Fabi, A Cesarini, F Sabbatini Astronomy & Astrophysics 666, A38, 2022 | 18 | 2022 |
| Semantic Web-Based Interoperability for Intelligent Agents with PSyKE F Sabbatini, G Ciatto, A Omicini International Workshop on Explainable, Transparent Autonomous Agents and …, 2022 | 16 | 2022 |
| Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO F Sabbatini, R Calegari Proceedings of the International Conference on Principles of Knowledge …, 2022 | 15 | 2022 |
| Recurrent Galactic Cosmic-Ray Flux Modulation in L1 and Geomagnetic Activity during the Declining Phase of the Solar Cycle 24 C Grimani, A Cesarini, M Fabi, F Sabbatini, D Telloni, M Villani The Astrophysical Journal 904 (1), 64, 2020 | 13 | 2020 |
| Symbolic Knowledge Extraction from Opaque Predictors Applied to Cosmic-Ray Data Gathered with LISA Pathfinder F Sabbatini, C Grimani arXiv preprint arXiv:2209.04697, 2022 | 12 | 2022 |
| The PSyKE Technology for Trustworthy Artificial Intelligence R Calegari, F Sabbatini International Conference of the Italian Association for Artificial …, 2022 | 11 | 2022 |
| Hypercube-based methods for symbolic knowledge extraction: towards a unified model F Sabbatini, G Ciatto, R Calegari, A Omicini CEUR WORKSHOP PROCEEDINGS 3261, 48-60, 2022 | 11 | 2022 |
| Cosmic-ray flux predictions and observations for and with Metis on board Solar Orbiter C Grimani, V Andretta, P Chioetto, V Da Deppo, M Fabi, S Gissot, ... Astronomy & Astrophysics 656, A15, 2021 | 11 | 2021 |
| A Hydrogenated amorphous silicon detector for Space Weather Applications C Grimani, M Fabi, F Sabbatini, M Villani, L Antognini, A Bashiri, ... Astrophysics and Space Science 368 (9), 78, 2023 | 9 | 2023 |
| Explainable Clustering with CREAM F Sabbatini, R Calegari Proceedings of the International Conference on Principles of Knowledge …, 2023 | 9 | 2023 |
| Hydrogenated amorphous silicon high flux x-ray detectors for synchrotron microbeam radiation therapy MJ Large, M Bizzarri, L Calcagnile, M Caprai, AP Caricato, R Catalano, ... Physics in Medicine & Biology 68 (13), 135010, 2023 | 9 | 2023 |
| Symbolic knowledge extraction and injection with sub-symbolic predictors: A systematic literature review G Ciatto, F Sabbatini, A Agiollo, M Magnini, A Omicini ACM Computing Surveys 56 (6), 1-35, 2024 | 8 | 2024 |
| On the evaluation of the symbolic knowledge extracted from black boxes F Sabbatini, R Calegari AI and Ethics 4 (1), 65-74, 2024 | 6 | 2024 |
| Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm. F Sabbatini, R Calegari BEWARE@ AI* IA, 1-14, 2023 | 5 | 2023 |
| Bottom-Up and Top-Down Workflows for Hypercube-And Clustering-Based Knowledge Extractors F Sabbatini, R Calegari International Workshop on Explainable, Transparent Autonomous Agents and …, 2023 | 5 | 2023 |
| Interplanetarymedium monitoring with LISA: Lessons from LISA Pathfinder A Cesarini, C Grimani, S Benella, M Fabi, F Sabbatini, M Villani, D Telloni Journal of Space Weather and Space Climate 12, 36, 2022 | 5 | 2022 |
Roberta CalegariResearcher @ Alma AI, Università di BolognaVerified email at unibo.it
