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ORCID7th ICPM 2025: Montevideo, Uruguay
- 7th International Conference on Process Mining, ICPM 2025, Montevideo, Uruguay, October 20-24, 2025. IEEE 2025, ISBN 979-8-3315-8596-9
- Tian Li, Sander J. J. Leemans, Artem Polyvyanyy:
Discovering Stochastic Causal Nets. 1-8 - Ido Shapira, Gera Weiss:
Guarded Process Trees: Translation to Petri Nets and Application in Process Mining. 1-8 - Cameron Pitsch, Tobias Brockhoff, Jan Niklas Adams, Sander J. J. Leemans, Leo Anthony Celi, Wil M. P. van der Aalst:
Hypothesis Testing for Processes. 1-8 - Christoffer Rubensson, Jan Mendling:
Time-Order Map for Seamless Zooming between Process Models and Process Instances. 1-8 - Yvette J. van der Haas, Renata Medeiros de Carvalho, Boudewijn F. van Dongen, Rogier L. C. Plas, Thomas van Dijk:
Optimizing the Discharge Planning Process in a Dutch Hospital. 1-8 - Rosaine F. Semler, Jhonnatan R. Semler, Marco A. Wehrmeister, Luiz Fernando Puttow Southier, César A. Uribe, José E. R. Cury, Marcelo Teixeira:
Discovering Automata Models Tailored for the Control of Discrete Event Systems. 1-8 - Maksym Avramenko, David Chapela-Campa, Marlon Dumas, Fredrik Milani:
What's Coming Next? Short-Term Simulation of Business Processes from Current State. 1-8 - Philipp Bär, Adam T. Burke, Moe Thandar Wynn, Sander J. J. Leemans:
Skip Probabilities for Subprocesses. 1-8 - Henrik Kirchmann, Stephan A. Fahrenkrog-Petersen, Xixi Lu, Matthias Weidlich:
Let's Simply Count: Quantifying Distributional Similarity Between Activities in Event Data. 1-8 - Jan Niklas van Detten, Pol Schumacher, Sander J. J. Leemans:
Modeling and Discovering Dynamic Identity Relations in Object-Centric Process Mining. 1-8 - Pierre Cry, András Horváth, Paolo Ballarini:
Stochastic Process Trees: A Formal Framework for Stochastic Process Discovery. 1-8 - Qian Chen, Stefanie Rinderle-Ma:
Class Incremental Learning with Drift Detection and Data Augmentation for Dynamic Processes. 1-8 - Andrei Buliga, Francesca Meneghello, Riccardo Graziosi, Massimiliano Ronzani:
Enhanced What-If Scenarios Generation by Bridging Generative Models and Process Simulation. 1-8 - Paul-Julius Hillmann, Stephan A. Fahrenkrog-Petersen, Jan Mendling:
Cross-Organizational Analysis of Parliamentary Processes: A Case Study. 1-8 - Marc C. Hennig, Rainer Schmidt, Michael Möhring:
Temporal GNNs for Remaining Time Prediction: An Evaluation. 1-8 - Vira Pyrih, Adrian Rebmann, Han van der Aa:
LLMs that Understand Processes: Instruction-tuning for Semantics-Aware Process Mining. 1-8 - Maximilian Matyash, Avigdor Gal, Arik Senderovich:
DDTR: Diffusion Denoising Trace Recovery. 1-8 - Irina Tentina, Francesca Zerbato, Felix Mannhardt, Boudewijn F. van Dongen:
Why Do Users Struggle to Get Insights from Process Mining? 1-8 - Andrea Maldonado, Christian M. M. Frey, Sai Anirudh Aryasomayajula, Ludwig Zellner, Stephan A. Fahrenkrog-Petersen, Thomas Seidl:
SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms. 1-8 - Christian Rennert, Julian Albers, Sander J. J. Leemans, Wil M. P. van der Aalst:
Your Secret Is Safe With Me: Federated Directly-Follows Graph Discovery. 1-8 - Vincenzo Pasquadibisceglie, Annalisa Appice, Giovanni Discanno, Donato Malerba:
Leveraging a foundation deep neural embedding in process discovery under not-Pareto distribution. 1-8 - Jakob De Moor, Hans Weytjens, Johannes De Smedt:
ProCause: Generating Counterfactual Outcomes to Evaluate Prescriptive Process Monitoring Methods. 1-8 - Michel Kunkler, Henryk Mustroph, Stefanie Rinderle-Ma:
Probabilistic Suffix Prediction of Business Processes. 1-8 - Jonghyeon Ko, Moe Thandar Wynn, Marco Comuzzi, Fabrizio Maria Maggi:
A Reinforcement Learning Framework for Event Log Anomaly Detection and Repair. 1-8
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