| On the integration of symbolic and sub-symbolic techniques for XAI: A survey R Calegari, G Ciatto, A Omicini Intelligenza Artificiale 14 (1), 7-32, 2020 | 120 | 2020 |
| Logic-based technologies for multi-agent systems: a systematic literature review R Calegari, G Ciatto, V Mascardi, A Omicini Autonomous Agents and Multi-Agent Systems 35 (1), 1, 2021 | 110 | 2021 |
| Logic-based technologies for intelligent systems: State of the art and perspectives R Calegari, G Ciatto, E Denti, A Omicini Information 11 (3), 167, 2020 | 71 | 2020 |
| CTG: A connectivity trace generator for testing the performance of opportunistic mobile systems R Calegari, M Musolesi, F Raimondi, C Mascolo Proceedings of the the 6th joint meeting of the European software …, 2007 | 51 | 2007 |
| From the blockchain to logic programming and back: Research perspectives G Ciatto, R Calegari, S Mariani, E Denti, A Omicini CEUR Workshop Proceedings 2215, 69-74, 2018 | 33 | 2018 |
| Towards XMAS: explainability through multi-agent systems G Ciatto, R Calegari, A Omicini, D Calvaresi CEUR WORKSHOP PROCEEDINGS 2502, 40-53, 2019 | 31 | 2019 |
| 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 | 27 | 2021 |
| Interpretable narrative explanation for ML predictors with LP: A case study for XAI R Calegari, G Ciatto, J Dellaluce, A Omicini CEUR WORKSHOP PROCEEDINGS 2404, 105-112, 2019 | 26 | 2019 |
| 2P-Kt: a logic-based ecosystem for symbolic AI G Ciatto, R Calegari, A Omicini SoftwareX 16, 100817, 2021 | 25 | 2021 |
| Logic programming as a service R Calegari, E Denti, S Mariani, A Omicini Theory and Practice of Logic Programming 18 (5-6), 846-873, 2018 | 20 | 2018 |
| Arg 2 P: an argumentation framework for explainable intelligent systems R Calegari, A Omicini, G Pisano, G Sartor Journal of Logic and Computation 32 (2), 369-401, 2022 | 18 | 2022 |
| Defeasible systems in legal reasoning: A comparative assessment R Calegari, G Contissa, F Lagioia, A Omicini, G Sartor Legal Knowledge and Information Systems, 169-174, 2019 | 18 | 2019 |
| Arg-tuProlog: A tuProlog-based Argumentation Framework⋆⋆⋆ G Pisano, R Calegari, A Omicini, G Sartor | 18* | |
| Symbolic knowledge extraction from opaque machine learning predictors: GridREx & PEDRO F Sabbatini, R Calegari Proceedings of the International Conference on Principles of Knowledge …, 2022 | 17 | 2022 |
| 2P-Kt: logic programming with objects & functions in Kotlin G Ciatto, R Calegari, E Siboni, E Denti, A Omicini CEUR WORKSHOP PROCEEDINGS 2706, 219-236, 2020 | 17 | 2020 |
| Logic programming as a service (LPaaS): Intelligence for the IoT R Calegari, E Denti, S Mariani, A Omicini 2017 IEEE 14th International Conference on Networking, Sensing and Control …, 2017 | 17 | 2017 |
| Compliance checking on first-order knowledge with conflicting and compensatory norms: a comparison among currently available technologies L Robaldo, S Batsakis, R Calegari, F Calimeri, M Fujita, G Governatori, ... Artificial Intelligence and Law 32 (2), 505-555, 2024 | 15 | 2024 |
| 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 | 15 | 2022 |
| The burden of persuasion in structured argumentation R Calegari, R Riveret, G Sartor Proceedings of the Eighteenth International Conference on Artificial …, 2021 | 14 | 2021 |
| Injecting (micro) intelligence in the IoT: Logic-based approaches for (M) MAS A Omicini, R Calegari International Workshop on Massively Multiagent Systems, 21-35, 2018 | 14 | 2018 |
Andrea OMICINIDepartment of Computer Science & Engineering, Alma Mater Studiorum-Università di BolognaEmail verificata su unibo.it
