| 2025 | 7th International Conference on Process Mining, ICPM 2025, Montevideo, Uruguay, October 20-24, 2025 |
| 2025 | A Reinforcement Learning Framework for Event Log Anomaly Detection and Repair. Jonghyeon Ko, Moe Thandar Wynn, Marco Comuzzi, Fabrizio Maria Maggi |
| 2025 | Class Incremental Learning with Drift Detection and Data Augmentation for Dynamic Processes. Qian Chen, Stefanie Rinderle-Ma |
| 2025 | Cross-Organizational Analysis of Parliamentary Processes: A Case Study. Paul-Julius Hillmann, Stephan A. Fahrenkrog-Petersen, Jan Mendling |
| 2025 | DDTR: Diffusion Denoising Trace Recovery. Maximilian Matyash, Avigdor Gal, Arik Senderovich |
| 2025 | Discovering Automata Models Tailored for the Control of Discrete Event Systems. Rosaine F. Semler, Jhonnatan R. Semler, Marco A. Wehrmeister, Luiz Fernando Puttow Southier, César A. Uribe, José E. R. Cury, Marcelo Teixeira |
| 2025 | Discovering Stochastic Causal Nets. Tian Li, Sander J. J. Leemans, Artem Polyvyanyy |
| 2025 | Enhanced What-If Scenarios Generation by Bridging Generative Models and Process Simulation. Andrei Buliga, Francesca Meneghello, Riccardo Graziosi, Massimiliano Ronzani |
| 2025 | Guarded Process Trees: Translation to Petri Nets and Application in Process Mining. Ido Shapira, Gera Weiss |
| 2025 | Hypothesis Testing for Processes. Cameron Pitsch, Tobias Brockhoff, Jan Niklas Adams, Sander J. J. Leemans, Leo Anthony Celi, Wil M. P. van der Aalst |
| 2025 | LLMs that Understand Processes: Instruction-tuning for Semantics-Aware Process Mining. Vira Pyrih, Adrian Rebmann, Han van der Aa |
| 2025 | Let's Simply Count: Quantifying Distributional Similarity Between Activities in Event Data. Henrik Kirchmann, Stephan A. Fahrenkrog-Petersen, Xixi Lu, Matthias Weidlich |
| 2025 | Leveraging a foundation deep neural embedding in process discovery under not-Pareto distribution. Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanni Discanno, Donato Malerba |
| 2025 | Modeling and Discovering Dynamic Identity Relations in Object-Centric Process Mining. Jan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans |
| 2025 | Optimizing the Discharge Planning Process in a Dutch Hospital. Yvette J. van der Haas, Renata Medeiros de Carvalho, Boudewijn F. van Dongen, Rogier L. C. Plas, Thomas van Dijk |
| 2025 | ProCause: Generating Counterfactual Outcomes to Evaluate Prescriptive Process Monitoring Methods. Jakob De Moor, Hans Weytjens, Johannes De Smedt |
| 2025 | Probabilistic Suffix Prediction of Business Processes. Michel Kunkler, Henryk Mustroph, Stefanie Rinderle-Ma |
| 2025 | SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms. Andrea Maldonado, Christian M. M. Frey, Sai Anirudh Aryasomayajula, Ludwig Zellner, Stephan A. Fahrenkrog-Petersen, Thomas Seidl |
| 2025 | Skip Probabilities for Subprocesses. Philipp Bär, Adam T. Burke, Moe Thandar Wynn, Sander J. J. Leemans |
| 2025 | Stochastic Process Trees: A Formal Framework for Stochastic Process Discovery. Pierre Cry, András Horváth, Paolo Ballarini |
| 2025 | Temporal GNNs for Remaining Time Prediction: An Evaluation. Marc C. Hennig, Rainer Schmidt, Michael Möhring |
| 2025 | Time-Order Map for Seamless Zooming between Process Models and Process Instances. Christoffer Rubensson, Jan Mendling |
| 2025 | What's Coming Next? Short-Term Simulation of Business Processes from Current State. Maksym Avramenko, David Chapela-Campa, Marlon Dumas, Fredrik Milani |
| 2025 | Why Do Users Struggle to Get Insights from Process Mining? Irina Tentina, Francesca Zerbato, Felix Mannhardt, Boudewijn F. van Dongen |
| 2025 | Your Secret Is Safe With Me: Federated Directly-Follows Graph Discovery. Christian Rennert, Julian Albers, Sander J. J. Leemans, Wil M. P. van der Aalst |