| Automated discovery of process models from event logs: Review and benchmark A Augusto, R Conforti, M Dumas, M La Rosa, FM Maggi, A Marrella, ... IEEE transactions on knowledge and data engineering 31 (4), 686-705, 2018 | 534 | 2018 |
| Split miner: automated discovery of accurate and simple business process models from event logs A Augusto, R Conforti, M Dumas, M La Rosa, A Polyvyanyy Knowledge and Information Systems 59, 251-284, 2019 | 229 | 2019 |
| Split miner: Discovering accurate and simple business process models from event logs A Augusto, R Conforti, M Dumas, M La Rosa 2017 IEEE international conference on data mining (ICDM), 1-10, 2017 | 109 | 2017 |
| Automated Discovery of Structured Process Models From Event Logs: The Discover-and-Structure Approach A Augusto, R Conforti, M Dumas, M La Rosa, G Bruno Data & Knowledge Engineering, 2017 | 67 | 2017 |
| The connection between process complexity of event sequences and models discovered by process mining A Augusto, J Mendling, M Vidgof, B Wurm Information Sciences 598, 196-215, 2022 | 63 | 2022 |
| Discovering automatable routines from user interaction logs A Bosco, A Augusto, M Dumas, M La Rosa, G Fortino Business Process Management Forum: BPM Forum 2019, Vienna, Austria …, 2019 | 63 | 2019 |
| Automated discovery of structured process models: Discover structured vs. discover and structure A Augusto, R Conforti, M Dumas, M La Rosa, G Bruno Conceptual Modeling: 35th International Conference, ER 2016, Gifu, Japan …, 2016 | 56 | 2016 |
| Identifying candidate routines for robotic process automation from unsegmented UI logs V Leno, A Augusto, M Dumas, M La Rosa, FM Maggi, A Polyvyanyy 2020 2nd International Conference on Process Mining (ICPM), 153-160, 2020 | 52 | 2020 |
| Measuring fitness and precision of automatically discovered process models: a principled and scalable approach A Augusto, A Armas-Cervantes, R Conforti, M Dumas, M La Rosa IEEE Transactions on Knowledge and Data Engineering 34 (4), 1870-1888, 2020 | 38 | 2020 |
| Advanced process discovery techniques A Augusto, J Carmona, E Verbeek Process mining handbook, 76-107, 2022 | 27 | 2022 |
| Automatic repair of same-timestamp errors in business process event logs R Conforti, M La Rosa, AHM Ter Hofstede, A Augusto Business Process Management: 18th International Conference, BPM 2020 …, 2020 | 27 | 2020 |
| Abstract-and-Compare: A Family of Scalable Precision Measures for Automated Process Discovery A Augusto, A Armas-Cervantes, R Conforti, M Dumas, M La Rosa, ... International Conference on Business Process Management, 158-175, 2018 | 24* | 2018 |
| Discovering data transfer routines from user interaction logs V Leno, A Augusto, M Dumas, M La Rosa, FM Maggi, A Polyvyanyy Information Systems 107, 101916, 2022 | 20* | 2022 |
| Process mining-driven analysis of COVID-19’s impact on vaccination patterns A Augusto, T Deitz, N Faux, JA Manski-Nankervis, D Capurro Journal of Biomedical Informatics 130, 104081, 2022 | 17 | 2022 |
| Metaheuristic optimization for automated business process discovery A Augusto, M Dumas, M La Rosa Business Process Management: 17th International Conference, BPM 2019, Vienna …, 2019 | 14 | 2019 |
| Detection of statistically significant differences between process variants through declarative rules A Cecconi, A Augusto, C Di Ciccio International Conference on Business Process Management, 73-91, 2021 | 11 | 2021 |
| Model-driven engineering: A state of affairs and research agenda C Verbruggen, M Snoeck International Conference on Business Process Modeling, Development and …, 2021 | 10 | 2021 |
| Automated discovery of process models with true concurrency and inclusive choices A Augusto, M Dumas, M La Rosa Process Mining Workshops: ICPM 2020 International Workshops, Padua, Italy …, 2021 | 9 | 2021 |
| Optimization framework for DFG-based automated process discovery approaches A Augusto, M Dumas, M La Rosa, SJJ Leemans, SKLM vanden Broucke Software and Systems Modeling, 1-26, 2021 | 7 | 2021 |
| Efficient checking of temporal compliance rules over business process event logs A Augusto, A Awad, M Dumas arXiv preprint arXiv:2112.04623, 2021 | 6 | 2021 |
Marcello La RosaProfessor at University of Melbourne | Chief Executive Officer at ApromoreEmail verificata su unimelb.edu.au
