Accepted Papers

Below is the list of papers accepted in the different tracks of ICPM.

Main track

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

Posters

  • ExOAR: Expert-Guided Object and Activity Recognition. Iris Beerepoot, Vinicius Stein Dani and Xixi Lu
  • Enabling Object-Centric Process Mining from Time-Series. Abd Alrhman Abu Sbeit, Franco Cavadini and Dirk Fahland
  • Mining for Meaningful Tables. Shameer K. Pradhan, Mieke Jans and Niels Martin
  • Token-Based Replay for Partially Ordered Event Logs. Sabine Folz-Weinstein, Michael Gößwein, Christian Beecks and Robin Bergenthum
  • Differentially Private Heuristics Miner. Yorck Zisgen and Agnes Koschmider
  • Fine-Tuning Large Language Models for Multi-Task Predictive Process Monitoring. Rafael Oyamada, Jari Peeperkorn and Johannes de Smedt
  • Filter and Compare: Exploring Differences in Event Log Subsets. Liliia Aliakberova, Francesca Zerbato and Dirk Fahland
  • Unravelling Spaghetti Models in Curriculum Analysis through Object-Centric Process Mining. Luciano Hidalgo, Jorge Munoz-Gama, José Luis Jara and Fernando Smith
  • A Query Language for Aggregating Object-Centric Event Data. Sara Pettinari, Francesco Tiezzi and Dirk Fahland
  • Towards More Effective Visual Process Comparison in Process Mining. María Salas-Urbano, Cristina Cabanillas, Manuel Resinas and Han van der Aa
  • Graph-based Event Log Repair. Sebastiano Dissegna, Chiara Di Francescomarino and Massimiliano Ronzani
  • Dynamic Window, Memory-Enhanced Conformance Checking (DICE). Eli Bogdanov, Izack Cohen and Avigdor Gal
  • Process Mining for Object-oriented Processes with Dynamic-temporal Relations. Jost Götte, Maximilian Harms and Henrik Leopold
  • ProAcT: Process Activity Tokenization in Large Language Models. Greg Benton, Yamini Ananth, Sean Jaffe and Jeff Naughton
  • Automated Process Classification. Kerstin Andree, Ivan Kuzmin and Luise Pufahl
  • Fairness-Aware Process Mining through Sequential Pattern Analysis. Muskan Muskan, Stephan Fahrenkrog-Petersen, Felix Mannhardt and Boudewijn van Dongen
  • Rate of Change (ROC): A Dynamic Process Mining Metric. Chiara Di Marco and Daniel Calegari
  • Towards Multidimensional Process Performance Analyses with Process Mining. Ignacio Velásquez, Mario Gómez, Ivannia Fabio, Nicolás Abarca-Quiroga, Marcos Sepúlveda and José Joaquín Jara

Demo track

  • ReLIGn: a Tool for Model Repair based on Local Instance Graphs. Claudia Diamantini, Laura Genga, Chiara Gobbi, Alessandro Mele and Domenico Potena
  • SOUP: Simplifying Event Knowledge Graph Management for Process Mining. Flavio Corradini, Alessio Giacché, Sara Pettinari, Barbara Re and Lorenzo Rossi
  • CC Viz: A Tool for Task-Based Visualizations in Conformance Checking. Nikolaos Theofanopoulos and Michael Grohs
  • pyBeamline Designer: A No-Code Platform for Streaming Process Mining Pipelines. Arturo Cortes, Sotero Romero and Andrea Burattin
  • FrOG: An OCEL generator for fragmented supply orders. Jost Götte, Maximilian Harms and Henrik Leopold
  • YAPNE: A Tool for Modeling and Automated Verification of Data Petri Nets. Christian Imenkamp, Joscha Grüger, Martin Kuhn, Christoph Matheja, Andrey Rivkin and Agnes Koschmider
  • ELoader: A Web Application for Event Log Selection and Preparation for Neural Networks. Henryk Mustroph, Michel Kunkler and Stefanie Rinderle-Ma
  • Webel: Web Browsing Event Logger. Elijah Cantu and Gyunam Park
  • MPVIS – A Python Library for Multi-Perspective Visualization in Process Mining. Nicolás Abarca-Quiroga, Ignacio Velásquez and Marcos Sepúlveda
  • Trajecta: A model-driven approach for curricular analysis with Process Mining. Santiago Díaz, Andrea Delgado and Daniel Calegari
  • NeSy4PPM: A Python Library for Neuro-Symbolic Predictive Process Monitoring. Jamila Oukharijane, Ivan Donadello and Fabrizio Maria Maggi

Doctoral consortium track

  • Optimising Healthcare Processes on Clinical Impact. Yvette van der Haas
  • Federated Process Mining: Extending Traditional Process Mining to Meet Confidentiality Requirements. Christian Rennert
  • Modeling Patient Trajectories in a Quebec Health Institution: Developing an Automated Tool through Process Mining for Operational Decision Support. Alexandra Langford-Avelar
  • Adaptive Online Optimization of Business Processes. Maksym Avramenko
  • From Discovery to Redesign: Leveraging Activity Relationships in Business Process Transformation. Kerstin Andree
  • Object-centric Process Mining for Collection Objects. Jost Götte
  • Process Mining and Artificial Intelligence for the Design, Sustainability, and Improvement of Collaborative Processes. Martín Rubio
  • Stochastic process discovery via model inference. Pierre Cry