DE FILIPPO, Allegra; Galassi, Andrea; Soriani, Alessandro; Trisolini, Giada; Baldo, Federico; Chesani, Federico; Mello, Paola; Milano, Michela, Improving the Teaching of Artificial Intelligence Through Project-Based Learning on a Board Game, «INTELLIGENZA ARTIFICIALE», 2025, 19, pp. 17 - 29 [articolo]Open Access
Vespa, Michela; Bellodi, Elena; Chesani, Federico; Loreti, Daniela; Mello, Paola; Lamma, Evelina; Ciampolini, Anna, Probabilistic Compliance in Declarative Process Mining, in: Proceedings of the 3rd International Workshop on Process Management in the AI Era (PMAI 2024) co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), «CEUR WORKSHOP PROCEEDINGS», 2024, 3779, pp. 11 - 22 (atti di: PMAI 2024 Process Management in the AI Era 2024, Santiago de Compostela, Spagna, 19/10/2024) [Contributo in Atti di convegno]Open Access
Vespa, Michela; Bellodi, Elena; Chesani, Federico; Loreti, Daniela; Mello, Paola; Lamma, Evelina; Ciampolini, Anna; Gavanelli, Marco; Zese, Riccardo, Probabilistic Traces in Declarative Process Mining, in: AIxIA 2024 – Advances in Artificial Intelligence. AIxIA 2024. Lecture Notes in Computer Science, Cham, Springer, «LECTURE NOTES IN COMPUTER SCIENCE», 2024, 15450, pp. 330 - 345 (atti di: 23rd International Conference of the Italian Association for Artificial Intelligence, Bolzano, Italy, 25-28 November 2024) [Contributo in Atti di convegno]
Buscaroli, Riccardo; Chesani, Federico; Giuliani, Giulia; Loreti, Daniela; Mello, Paola, A Prolog application for reasoning on maths puzzles with diagrams, «JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE», 2023, 35, pp. 1079 - 1099 [articolo]Open Access
Federico Chesani, Chiara Di Francescomarino, Chiara Ghidini, Daniela Loreti, Fabrizio Maria Maggi, Paola Mello, Marco Montali, Sergio Tessaris, Binary Discovery of Declarative Business Processes with ASP Preferences, in: Thirty-Seventh AAAI Conference on Artificial Intelligence. AAAI-23 Bridge Program. B5: Artificial Intelligence and Business Process Management, 2023(atti di: Thirty-Seventh AAAI Conference on Artificial Intelligence. AAAI-23 Bridge Program. B5: Artificial Intelligence and Business Process Management, Washington DC, USA, 7-8 Febbraio 2023) [atti di convegno-poster]
Chesani, Federico; Di Francescomarino, Chiara; Ghidini, Chiara; Loreti, Daniela; Maggi, Fabrizio Maria; Mello, Paola; Montali, Marco; Tessaris, Sergio, Process Discovery on Deviant Traces and Other Stranger Things, «IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING», 2023, 35, pp. 11784 - 11800 [articolo]Open Access
Federico Chesani; Chiara Di Francescomarino; Chiara Ghidini; Daniela Loreti ;Fabrizio Maria Maggi ;Paola Mello ; Marco Montali;Elena Palmieri; Sergio Tessaris, Discovering Business Processes models expressed as DNF or CNF formulae of Declare constraints, in: Proceedings of the 37th Italian Conference on Computational Logic, «CEUR WORKSHOP PROCEEDINGS», 2022, 3204, pp. 201 - 216 (atti di: 37th Italian Conference on Computational Logic, Bologna, Italy, June 29 - July 1, 2022) [Contributo in Atti di convegno]Open Access
Chesani, Federico; Di Francescomarino, Chiara; Ghidini, Chiara; Grundler, Giulia; Loreti, Daniela; Maggi, Fabrizio Maria; Mello, Paola; Montali, Marco; Tessaris, Sergio, Optimising Business Process Discovery Using Answer Set Programming, in: LPNMR 2022: Logic Programming and Nonmonotonic Reasoning, «LECTURE NOTES IN ARTIFICIAL INTELLIGENCE», 2022, 13416, pp. 498 - 504 (atti di: International Conference on Logic Programming and Nonmonotonic Reasoning, Genova, Italy, 05-09/09/2022) [Contributo in Atti di convegno]
Belvederi Murri, Martino; Cattelani, Luca; Chesani, Federico; Palumbo, Pierpaolo; Triolo, Federico; Alexopoulos, George S, Risk Prediction Models for Depression in Community-Dwelling Older Adults, «AMERICAN JOURNAL OF GERIATRIC PSYCHIATRY», 2022, 30, pp. 949 - 960 [articolo]Open Access
Chesani, Federico; Di Francescomarino, Chiara; Ghidini, Chiara; Grundler, Giulia; Loreti, Daniela; Maggi, Fabrizio Maria; Mello, Paola; Montali, Marco; Tessaris, Sergio, Shape Your Process: Discovering Declarative Business Processes from Positive and Negative Traces Taking into Account User Preferences, in: Enterprise Design, Operations, and Computing. 26th International Conference, EDOC 2022 Bozen-Bolzano, Italy, October 3–7, 2022 Proceedings, «LECTURE NOTES IN COMPUTER SCIENCE», 2022, 13585, pp. 217 - 234 (atti di: 26th International Conference on Enterprise Design, Operations, and Computing, Bolzano, Italia, 3-7 ottobre 2022) [Contributo in Atti di convegno]
Pierpaolo Palumbo, Luca Cattelani, Federica Fusco, Mirjam Pijnappels, Lorenzo Chiari, Federico Chesani, Sabato Mellone, A recommender system for behavioral change in 60-70-year-old adults, in: Artificial Intelligence for an Ageing Society: Conference Proceedings, Aachen, CEUR-WS, 2020, 2804, pp. 69 - 80 (atti di: Italian Workshop on Artificial Intelligence for an Ageing Society : AIxAS 2020, Virtual / On line, 25-27 Nov 2020) [Contributo in Atti di convegno]Open Access
Cattelani L.; Chesani F.; Palmerini L.; Palumbo P.; Chiari L.; Bandinelli S., A rule-based framework for risk assessment in the health domain, «INTERNATIONAL JOURNAL OF APPROXIMATE REASONING», 2020, 119, pp. 242 - 259 [articolo]Open Access
Gambetti E.; Buscaroli R.; Chesani F.; Giusberti F.; Loreti D.; Mello P., Artificial intelligence and cognitive psychology: How to solve mathematical problems, «SISTEMI INTELLIGENTI», 2020, 32, pp. 287 - 316 [articolo]Open Access
Federico Chesani, Giuseppe Cota, Marco Gavanelli, Evelina Lamma, Paola Mello, Fabrizio Riguzzi, Declarative and Mathematical Programming approaches to Decision Support Systems for food recycling, «ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE», 2020, 95, Article number: 103861, pp. 1 - 11 [articolo]Open Access
Loreti D.; Chesani F.; Ciampolini A.; Mello P., Generating synthetic positive and negative business process traces through abduction, «KNOWLEDGE AND INFORMATION SYSTEMS», 2020, 62, pp. 813 - 839 [articolo]Open Access
