The International Workshop on Leveraging Machine Learning in Process Mining - ML4PM - is a premier event that aims to foster collaboration and innovation in the intersection of machine learning and process mining. Over the past few years, the combination of these two fields has generated a lot of interest, and this workshop provides an excellent opportunity for researchers and practitioners to share their latest findings and explore new directions for future research.
The workshop will feature a diverse range of papers that showcase the latest advances in automated process modelling, predictive process mining, deep learning techniques, and online process mining. These themes reflect the most exciting and promising areas of research at the intersection of machine learning and process mining. By fostering dialogue and collaboration among participants, the workshop aims to catalyze breakthroughs and push the boundaries of what is possible in this exciting and rapidly-evolving field.
ML4PM 2025 will be held in Montevideo, in conjunction with the ICPM conference.
This workshop invites papers that present works that lay in the intersection between machine learning and process mining. The event provides a suitable environment to discuss new approaches presented by researchers and practitioners. Main themes include automated process modeling, predictive process mining, application of deep learning techniques and online process mining. The workshop will count with leading researchers, engineers and scientists who are actively working on these topics.
Topics of interest for submission include, but are not limited to:
Contributions to all calls should be submitted electronically to the Workshop management system connecting to https://easychair.org/my/conference?conf=icpm2025. At least one author of each accepted paper is expected to participate in the conference and present his/her work.
Submissions must be original contributions that have not been published previously. Submissions must be in English and must not exceed 12 pages (including figures, bibliography and appendices). Each paper should contain a short abstract, clarifying the relation of the paper with the workshop topics, clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to the literature. Research papers will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP). Due to editorial requirements, traditional workshops are expected to have an acceptance rate for research papers published in the LNBIP series of not more than 50%.
Authors are requested to prepare submissions according to the format of the Lecture Notes in Business Information Processing (LNBIP) series by Springer http://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0.
We encourage authors to follow the principles of transparency, reproducibility, and replicability. To enhance the accessibility of research artifacts and datasets, authors are advised to make them accessible via public repositories (e.g., Zenodo, Figshare, GitHub, or institutional archives) under an open data license such as the CC0 dedication or the CC-BY 4.0 license.
The authors of selected regular papers may be invited to submit an extended version of their contributions to the Process Science journal.
Registrations are managed by the ICPM system
| Milestone | Deadline |
|---|---|
| Abstract Submission | |
| Paper Submission | |
| Notification of Acceptance | August 22, 2025 |
| Submission of Camera Ready Papers | September 22, 2025 |
| Workshop | October 20, 2025 |
| Post-workshop Camera-Ready Papers | November 4, 2025 |
Cleiton dos Santos Garcia
Unlocking Value: Practical Process Mining Applications Powered by Artificial Intelligence.
Process Mining combined with Artificial Intelligence is reshaping how organizations operate, moving from theory to measurable impact. This keynote presents real-world applications in healthcare and manufacturing, where AI-powered process mining not only improves efficiency and compliance but also drives automated resolutions—supporting decisions and actions traditionally carried out by managers and frontline teams. Drawing on leading cases in Latin America, it highlights practical lessons, outcomes, and the region’s growing role in leveraging data-driven process excellence for digital transformation.
| 20 October 2025 - Room 726 – Main Building 7th floor | ||
|---|---|---|
| Time | Title | Authors |
| Opening Session | ||
| 11:00 | Opening | Workshop Co-Chairs |
| 11:30 | Keynote Speech: Unlocking Value: Practical Process Mining Applications Powered by Artificial Intelligence | Cleiton dos Santos Garcia |
| 12:30 - 14:00 | LUNCH BREAK | |
| Session 1 | ||
| 14:00 | Panel: Process Mining Unboxed: Applications Beyond Business Processes | Vincenzo Pasquadibisceglie, Edyta Brzychczy, Aleksandar Gavric, Thomas Seidl |
| 14:50 | Tackling Multi-Class Imbalance in Next Activity Prediction with Class-Balanced Focal Loss . | Xiaomeng He, Rafael Oyamada, Johannes De Smedt, Seppe Vanden Broucke and Jochen De Weerdt |
| 15:10 | Introducing k-Traceoids: A Structure-Preserving Trace Clustering Framework. | Umut Nefta Kanilmaz, Gabriel Marques Tavares, Daniel Schuster, Rafael Seidi Oyamada and Thomas Seidl |
| 15:30 - 16:00 | COFFEE BREAK | |
| Session 2 | ||
| 16:00 | On the Simplification of Neural Network Architectures for Predictive Process Monitoring | Amaan Ansari,Lukas Kirchdorfer, and Raheleh Hadian |
| 16:20 | Domain Adaptation of Large Language Models for Process Data. | Rafael Seidi Oyamada, Jari Peeperkorn, Jochen De Weerdt and Johannes De Smedt |
| 16:40 | Actor-Enriched Time Series Forecasting of Process Performance. | Aurélie Leribaux, Rafael Seidi Oyamada, Johannes De Smedt, Zahra Dasht Bozorgi, Artem Polyvyanyy and Jochen De Weerdt |
| 17:10 | Remaining Time Prediction in Outbound Warehouse Processes: A Case Study (Short Paper). | Erik Penther, Michael Grohs and Jana-Rebecca Rehse |
| 17:20 | Leveraging Cross-Silo Federated Learning in Process Mining (Short Paper). | Dipanwita Thakur, Antonella Guzzo and Giancarlo Fortino |
