| 2023 | 5th International Conference on Process Mining, ICPM 2023, Rome, Italy, October 23-27, 2023 |
| 2023 | A Fresh Approach to Analyze Process Outcomes. Hagen Völzer, Francesca Zerbato, Timothy Sulzer, Barbara Weber |
| 2023 | A Window of Opportunity: Active Window Tracking for Mining Work Practices. Iris Beerepoot, Daniël Barenholz, Stijn Beekhuis, Jens Gulden, Suhwan Lee, Xixi Lu, Sietse Overbeek, Inge van de Weerd, Jan Martijn E. M. van der Werf, Hajo A. Reijers |
| 2023 | Addressing the Log Representativeness Problem using Species Discovery. Martin Kabierski, Markus Richter, Matthias Weidlich |
| 2023 | An Approximate Inductive Miner. Jan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans |
| 2023 | Business Process Deviation Prediction: Predicting Non-Conforming Process Behavior. Michael Grohs, Peter Pfeiffer, Jana-Rebecca Rehse |
| 2023 | Data-Driven Goal Recognition in Transhumeral Prostheses Using Process Mining Techniques. Zihang Su, Tianshi Yu, Nir Lipovetzky, Alireza Mohammadi, Denny Oetomo, Artem Polyvyanyy, Sebastian Sardiña, Ying Tan, Nick van Beest |
| 2023 | Discovering Object-Centric Process Simulation Models. Benedikt Knopp, Mahsa Pourbafrani, Wil M. P. van der Aalst |
| 2023 | Discovery and Simulation of Business Processes with Probabilistic Resource Availability Calendars. Orlenys López-Pintado, Marlon Dumas |
| 2023 | Enhancing the Applicability of the eST-Miner: Efficient Precision-Guided Implicit Place Avoidance. Felix C. Groß, Lisa Luise Mannel, Wil M. P. van der Aalst |
| 2023 | Everything there is to Know about Stochastically Known Logs. Avigdor Gal |
| 2023 | Manifold Learning for Adversarial Robustness in Predictive Process Monitoring. Alexander Stevens, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt |
| 2023 | Measuring the Stability of Process Outcome Predictions in Online Settings. Suhwan Lee, Marco Comuzzi, Xixi Lu, Hajo A. Reijers |
| 2023 | Plan Recognition as Probabilistic Trace Alignment. Jonghyeon Ko, Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza, Ramon Fraga Pereira |
| 2023 | Repairing Soundness Properties in Data-Aware Processes. Paolo Felli, Marco Montali, Sarah Winkler |
| 2023 | Runtime Integration of Machine Learning and Simulation for Business Processes. Francesca Meneghello, Chiara Di Francescomarino, Chiara Ghidini |
| 2023 | SKTR: Trace Recovery from Stochastically Known Logs. Eli Bogdanov, Izack Cohen, Avigdor Gal |
| 2023 | Scalable Discovery of Partially Ordered Workflow Models with Formal Guarantees. Humam Kourani, Daniel Schuster, Wil M. P. van der Aalst |
| 2023 | State Snapshot Process Discovery on Career Paths of Qing Dynasty Civil Servants. Adam T. Burke, Sander J. J. Leemans, Moe Thandar Wynn, Cameron D. Campbell |