| 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 | 166 | 2022 |
| Mining Uncertain Event Data in Process Mining M Pegoraro, WMP van der Aalst 2019 International Conference on Process Mining (ICPM), 89-96, 2019 | 55 | 2019 |
| Discovering Process Models from Uncertain Event Data M Pegoraro, MS Uysal, WMP van der Aalst International Conference on Business Process Management 362, 238-249, 2019 | 36 | 2019 |
| Conformance checking over uncertain event data M Pegoraro, MS Uysal, WMP van der Aalst Information Systems 102, 101810, 2021 | 34 | 2021 |
| Efficient Time and Space Representation of Uncertain Event Data M Pegoraro, MS Uysal, WMP van der Aalst Algorithms 13 (11), 285, 2020 | 19 | 2020 |
| Efficient construction of behavior graphs for uncertain event data M Pegoraro, MS Uysal, WMP van der Aalst International Conference on Business Information Systems 389, 76-88, 2020 | 18 | 2020 |
| Probability Estimation of Uncertain Process Trace Realizations M Pegoraro, B Bakullari, MS Uysal, WMP van der Aalst Process Mining Workshops 433, 21–33, 2022 | 12 | 2022 |
| Text-aware predictive monitoring of business processes M Pegoraro, MS Uysal, DB Georgi, WMP van der Aalst 24th International Conference on Business Information Systems, (BIS) 2021 …, 2021 | 12 | 2021 |
| PROVED: A Tool for Graph Representation and Analysis of Uncertain Event Data M Pegoraro, MS Uysal, WMP van der Aalst International Conference on Applications and Theory of Petri Nets and …, 2021 | 12 | 2021 |
| Analyzing Medical Data with Process Mining: a COVID-19 Case Study⋆ M Pegoraro, MB Shankara, WMP van der Aalst, L Martin, G Marx | 12* | |
| Probabilistic and Non-deterministic Event Data in Process Mining: Embedding Uncertainty in Process Analysis Techniques M Pegoraro arXiv preprint arXiv:2205.04827, 2022 | 11 | 2022 |
| Performance-preserving event log sampling for predictive monitoring M Fani Sani, M Vazifehdoostirani, G Park, M Pegoraro, SJ van Zelst, ... Journal of Intelligent Information Systems 61 (1), 53-82, 2023 | 6 | 2023 |
| Uncertain case identifiers in process mining: A user study of the event-case correlation problem on click data M Pegoraro, MS Uysal, TH Hülsmann, WMP van der Aalst International Conference on Business Process Modeling, Development and …, 2022 | 6 | 2022 |
| Event Log Sampling for Predictive Monitoring MF Sani, M Vazifehdoostirani, G Park, M Pegoraro, SJ van Zelst, ... Process Mining Workshops 433, 154–166, 2022 | 6* | 2022 |
| Process Modeling and Conformance Checking in Healthcare: A COVID-19 Case Study E Benevento, M Pegoraro, M Antoniazzi, HH Beyel, V Peeva, P Balfanz, ... International Conference on Process Mining, 315-327, 2022 | 5 | 2022 |
| Process Mining on Uncertain Event Data M Pegoraro International Conference on Process Mining, 2021 | 5 | 2021 |
| An XES Extension for Uncertain Event Data M Pegoraro, MS Uysal, WMP van der Aalst | 5* | |
| Local search for designing noise-minimal rotorcraft approach trajectories R Morris, KB Venable, M Pegoraro, J Lindsay Twenty-Fourth IAAI Conference, 2012 | 4 | 2012 |
| Resolving Uncertain Case Identifiers in Interaction Logs: A User Study M Pegoraro, MS Uysal, TH Hülsmann, WMP van der Aalst arXiv preprint arXiv:2212.00009, 2022 | 3 | 2022 |
| OCEL (Object-Centric Event Log) 2.0 Specification A Berti, I Koren, JN Adams, G Park, B Knopp, N Graves, M Rafiei, L Liß, ... arXiv preprint arXiv:2403.01975, 2024 | 2 | 2024 |
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eVerified email at pads.rwth-aachen.de
