| Predictive monitoring of business processes FM Maggi, C Di Francescomarino, M Dumas, C Ghidini Advanced Information Systems Engineering: 26th International Conference …, 2014 | 393 | 2014 |
| Process mining for healthcare: Characteristics and challenges J Munoz-Gama, N Martin, C Fernandez-Llatas, OA Johnson, M Sepúlveda, ... Journal of Biomedical Informatics 127, 103994, 2022 | 271 | 2022 |
| Complex symbolic sequence encodings for predictive monitoring of business processes A Leontjeva, R Conforti, C Di Francescomarino, M Dumas, FM Maggi Business Process Management: 13th International Conference, BPM 2015 …, 2015 | 247 | 2015 |
| Predictive process monitoring methods: Which one suits me best? C Di Francescomarino, C Ghidini, FM Maggi, F Milani International conference on business process management, 462-479, 2018 | 226 | 2018 |
| Clustering-based predictive process monitoring C Di Francescomarino, M Dumas, FM Maggi, I Teinemaa IEEE transactions on services computing 12 (6), 896-909, 2016 | 213 | 2016 |
| Predictive business process monitoring with structured and unstructured data I Teinemaa, M Dumas, FM Maggi, C Di Francescomarino Business Process Management: 14th International Conference, BPM 2016, Rio de …, 2016 | 137 | 2016 |
| Intra and inter-case features in predictive process monitoring: A tale of two dimensions A Senderovich, C Di Francescomarino, C Ghidini, K Jorbina, FM Maggi Business Process Management: 15th International Conference, BPM 2017 …, 2017 | 136 | 2017 |
| Genetic algorithms for hyperparameter optimization in predictive business process monitoring C Di Francescomarino, M Dumas, M Federici, C Ghidini, FM Maggi, ... Information Systems 74, 67-83, 2018 | 135 | 2018 |
| An eye into the future: leveraging a-priori knowledge in predictive business process monitoring C Di Francescomarino, C Ghidini, FM Maggi, G Petrucci, A Yeshchenko Business Process Management: 15th International Conference, BPM 2017 …, 2017 | 132 | 2017 |
| Predictive process monitoring C Di Francescomarino, C Ghidini Process mining handbook, 320-346, 2022 | 96 | 2022 |
| The process model matching contest 2015 G Antunes, M Bakhshandeh, J Borbinha, J Cardoso, S Dadashnia, ... GI-Edition: Lecture Notes in Informatics. Proceedings 248, 127-155, 2015 | 87 | 2015 |
| Explainability in predictive process monitoring: When understanding helps improving W Rizzi, C Di Francescomarino, FM Maggi International Conference on Business Process Management, 141-158, 2020 | 85 | 2020 |
| Reasoning on semantically annotated processes C Di Francescomarino, C Ghidini, M Rospocher, L Serafini, P Tonella Service-Oriented Computing–ICSOC 2008: 6th International Conference, Sydney …, 2008 | 80 | 2008 |
| Complex symbolic sequence clustering and multiple classifiers for predictive process monitoring I Verenich, M Dumas, M La Rosa, FM Maggi, C Di Francescomarino Business Process Management Workshops: BPM 2015, 13th International …, 2016 | 79 | 2016 |
| Semantically-aided business process modeling C Di Francescomarino, C Ghidini, M Rospocher, L Serafini, P Tonella International Semantic Web Conference, 114-129, 2009 | 73 | 2009 |
| Predictive business process monitoring framework with hyperparameter optimization C Di Francescomarino, M Dumas, M Federici, C Ghidini, FM Maggi, ... Advanced Information Systems Engineering: 28th International Conference …, 2016 | 64 | 2016 |
| Supporting ontology-based semantic annotation of business processes with automated suggestions C Di Francescomarino, P Tonella International Journal of Information System Modeling and Design (IJISMD) 1 …, 2010 | 63 | 2010 |
| Parallel algorithms for the automated discovery of declarative process models FM Maggi, C Di Ciccio, C Di Francescomarino, T Kala Information Systems 74, 136-152, 2018 | 60 | 2018 |
| Reverse engineering of business processes exposed as web applications C Di Francescomarino, A Marchetto, P Tonella 2009 13th european conference on software maintenance and reengineering, 139-148, 2009 | 60 | 2009 |
| Add data into business process verification: Bridging the gap between theory and practice R De Masellis, C Di Francescomarino, C Ghidini, M Montali, S Tessaris Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 57 | 2017 |
