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, 0, pp. 1 - 13 [Scientific article]
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), 2024, 3779, pp. 11 - 22 (atti di: PMAI 2024 Process Management in the AI Era 2024, Santiago de Compostela, Spagna, 19/10/2024) [Contribution to conference proceedings]
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, 2024, 15450, pp. 330 - 345 (atti di: 23rd International Conference of the Italian Association for Artificial Intelligence, Bolzano, Italy, 25-28 November 2024) [Contribution to conference proceedings]
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 [Scientific article]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) [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 [Scientific article]Open Access
De Filippo, Allegra; Giuliani, Luca; Mancini, Eleonora; Borghesi, Andrea; Mello, Paola; Milano, Michela, Towards Symbiotic Creativity: A Methodological Approach to Compare Human and AI Robotic Dance Creations, in: Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, ijcai, 2023, pp. 5806 - 5814 (atti di: Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23), Macao, 19-25 agosto 2023) [Contribution to conference proceedings]Open Access
Luca Giuliani, Allegra De Filippo, Andrea Borghesi, Paola Mello, Michela Milano, A Multi-modal Perspective for the Artistic Evaluation of Robotic Dance Performances, in: CREAI 2022, Workshop on Artificial Intelligence and Creativity, 2022, pp. 84 - 93 (atti di: Workshop on Artificial Intelligence and Creativity co-located with 21th International Conference of the Italian Association for Artificial Intelligence, Udine, 28 novembre 2022 - 3 dicembre 2022) [Contribution to conference proceedings]
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, 2022, 3204, pp. 201 - 216 (atti di: 37th Italian Conference on Computational Logic, Bologna, Italy, June 29 - July 1, 2022) [Contribution to conference proceedings]Open Access
De Filippo A.; Mello P.; Milano M., Do You Like Dancing Robots? AI Can Tell You Why, in: PAIS 2022, 2022, 351, pp. 45 - 58 (atti di: 11th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2022), Vienna, 25/07/2022) [Contribution to conference proceedings]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, 2022, 13416, pp. 498 - 504 (atti di: International Conference on Logic Programming and Nonmonotonic Reasoning, Genova, Italy, 05-09/09/2022) [Contribution to conference proceedings]
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, 2022, 13585, pp. 217 - 234 (atti di: 26th International Conference on Enterprise Design, Operations, and Computing, Bolzano, Italia, 3-7 ottobre 2022) [Contribution to conference proceedings]
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 [Scientific article]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 [Scientific article]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 [Scientific article]Open Access
