| 2022 | On the Potential of Textual Data for Explainable Predictive Process Monitoring. | Christian Warmuth, Henrik Leopold |
| 2022 | A Combined Approach of Process Mining and Rule-Based AI for Study Planning and Monitoring in Higher Education. | Miriam Wagner, Hayyan Helal, Rene Roepke, Sven Judel, Jens Doveren, Sergej Grzen, Pouya Soudmand, Gerhard Lakemeyer, Ulrik Schroeder, Wil M. P. van der Aalst |
| 2022 | Konekti: A Data Preparation Platform for Process Mining (Extended Abstract). | Lotte Vugs, Maarten van Asseldonk, Niek van Son |
| 2022 | Leveraging Event Data for Measuring Process Complexity. | Maxim Vidgof, Jan Mendling |
| 2022 | Discovering an S-Coverable WF-net using DiSCover. | Eric Verbeek |
| 2022 | Encoding High-Level Control-Flow Construct Information for Process Outcome Prediction. | Mozhgan Vazifehdoostirani, Laura Genga, Remco M. Dijkman |
| 2022 | Process Mining-Based Goal Recognition (Extended Abstract). | Zihang Su |
| 2022 | Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks. | Alexander Stevens, Johannes De Smedt, Jari Peeperkorn, Jochen De Weerdt |
| 2022 | SAP Signavio Academic Models: A Large Process Model Dataset. | Diana Sola, Christian Warmuth, Bernhard Schfer, Peyman Badakhshan, Jana-Rebecca Rehse, Timotheus Kampik |
| 2022 | Discovering Students' Learning Strategies in a Visual Programming MOOC Through Process Mining Techniques. | Narjes Rohani, Kobi Gal, Michael Gallagher, Areti Manataki |
| 2022 | Multi-perspective Identification of Event Groups for Event Abstraction. | Adrian Rebmann, Peter Pfeiffer, Peter Fettke, Han van der Aa |
| 2022 | TraVaS: Differentially Private Trace Variant Selection for Process Mining. | Majid Rafiei, Frederik Wangelik, Wil M. P. van der Aalst |
| 2022 | Measuring the Impact of COVID-19 on Hospital Care Pathways. | Christin Puthur, Abdulaziz Aljebreen, Ciarn McInerney, Teumzghi Mebrahtu, Tom Lawton, Owen A. Johnson |
| 2022 | Discrimination-Aware Process Mining: A Discussion. | Timo Pohl, Mahnaz Sadat Qafari, Wil M. P. van der Aalst |
| 2022 | Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs. | Jari Peeperkorn, Carlos Ortega Vzquez, Alexander Stevens, Johannes De Smedt, Seppe vanden Broucke, Jochen De Weerdt |
| 2022 | Monitoring Constraints in Business Processes Using Object-Centric Constraint Graphs. | Gyunam Park, Wil M. P. van der Aalst |
| 2022 | Explainable Process Prescriptive Analytics. | Alessandro Padella, Massimiliano de Leoni, Onur Dogan, Riccardo Galanti |
| 2022 | Explainable and Responsible Process Prescriptive Analytics (Extended Abstract). | Alessandro Padella |
| 2022 | Ex-Post Identification of Task Models With Causally Ordered User Interface Logs (Extended Abstract). | Dominic A. Neu |
| 2022 | Detecting Complex Anomalous Behaviors in Business Processes: A Multi-perspective Conformance Checking Approach. | Azadeh Sadat Mozafari Mehr, Renata Medeiros de Carvalho, Boudewijn F. van Dongen |
| 2022 | Cache Enhanced Split-Point-Based Alignment Calculation. | Tian Li, Sebastiaan J. van Zelst |
| 2022 | FilterTree: a Repeatable Branching XES Editor (Extended Abstract). | Sander J. J. Leemans |
| 2022 | LSTM-Based Anomaly Detection of Process Instances: Benchmark and Tweaks. | Johannes Lahann, Peter Pfeiffer, Peter Fettke |
| 2022 | Multimodal Process Prediction (Extended Abstract). | Johannes Lahann |
| 2022 | Genetic Algorithms for AutoML in Process Predictive Monitoring. | Nahyun Kwon, Marco Comuzzi |