| 2023 | Improving Precision in Process Trees Using Subprocess Tree Logs. | Christian Rennert, Wil M. P. van der Aalst |
| 2023 | Extracting Rules from Event Data for Study Planning. | Majid Rafiei, Duygu Bayrak, Mahsa Pourbafrani, Gyunam Park, Hayyan Helal, Gerhard Lakemeyer, Wil M. P. van der Aalst |
| 2023 | User-Friendly Data Extraction and Event Log Building for Process Mining. | Shameer K. Pradhan |
| 2023 | Evidence-Based Student Career and Performance Analysis with Process Mining: A Case Study. | Domenico Potena, Laura Genga, Annalisa Basta, Chiara Mercati, Claudia Diamantini |
| 2023 | An Approach for Discovering Inter-organizational Collaborative Business Processes in BPMN 2.0. | Leonel Pea, Daniela Andrade, Andrea Delgado, Daniel Calegari |
| 2023 | Grouping Local Process Models. | Viki Peeva, Wil M. P. van der Aalst |
| 2023 | Analyzing an After-Sales Service Process Using Object-Centric Process Mining: A Case Study. | Gyunam Park, Sevde Aydin, Cneyt Ugur, Wil M. P. van der Aalst |
| 2023 | Detecting Anomalous Events in Object-Centric Business Processes via Graph Neural Networks. | Alessandro Niro, Michael Werner |
| 2023 | declare-js: A Web-Based Viewer and Editor for Declarative Process Models. | Sabine Nagel, Eric Amann, Patrick Delfmann |
| 2023 | Mapping Artifact-Driven Monitoring Results Back to BPMN Process Diagrams. | Giovanni Meroni, Szabolcs Garda |
| 2023 | RIMS_tool: a Hybrid Simulator for Business Processes. | Francesca Meneghello, Chiara Di Francescomarino, Chiara Ghidini |
| 2023 | Runtime Integration of Machine Learning and Simulation for Business Processes. | Francesca Meneghello, Chiara Di Francescomarino, Chiara Ghidini |
| 2023 | Ontology-Based Multi-perspective Process Mining in Laboratories: A Case Study. | Elisabeth Mayrhuber, Emmanuel Helm, Lisa Ehrlinger |
| 2023 | Process Mining Techniques for Collusion Detection in Online Exams. | Andrea Maldonado, Ludwig Zellner, Sven Strickroth, Thomas Seidl |
| 2023 | FEEED: Feature Extraction from Event Data. | Andrea Maldonado, Gabriel Marques Tavares, Rafael Seidi Oyamada, Paolo Ceravolo, Thomas Seidl |
| 2023 | Discovery and Simulation of Business Processes with Probabilistic Resource Availability Calendars. | Orlenys Lpez-Pintado, Marlon Dumas |
| 2023 | Discovering Process-Based Drivers for Case-Level Outcome Explanation. | Peng Li, Hantian Zhang, Xu Chu, Alexander Seeliger, Cong Yu |
| 2023 | Turning Logs into Lumber: Preprocessing Tasks in Process Mining. | Ying Liu, Vinicius Stein Dani, Iris Beerepoot, Xixi Lu |
| 2023 | Checking Constraints for Object-Centric Process Executions. | Tian Li, Gyunam Park, Wil M. P. van der Aalst |
| 2023 | Measuring the Stability of Process Outcome Predictions in Online Settings. | Suhwan Lee, Marco Comuzzi, Xixi Lu, Hajo A. Reijers |
| 2023 | Kronos: Discovery and Analysis of Waiting Time Causes. | Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Ihar Suvorau, Marlon Dumas |
| 2023 | Declare MoGeS: Model Generator and Specializer. | Manal Laghmouch, Benot Depaire, Nicola Gigante, Mieke Jans, Marco Montali |
| 2023 | Kairos: A Tool for Prescriptive Monitoring of Business Processes. | Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Marlon Dumas, Alexander Nolte, Mahmoud Shoush, Zhaosi Qu |
| 2023 | Scalable Discovery of Partially Ordered Workflow Models with Formal Guarantees. | Humam Kourani, Daniel Schuster, Wil M. P. van der Aalst |
| 2023 | OCEL 2.0 Resources - www.ocel-standard.org. | Istvn Koren, Jan Niklas Adams, Alessandro Berti, Wil M. P. van der Aalst |