| 2022 | Coral: Conversational What-If Process Analysis (Extended Abstract). | Daniel Barn-Espitia, Marlon Dumas, Oscar Gonzlez Rojas |
| 2022 | Process Mining for Analyzing Open Questions Computer-Aided Examinations. | Saimir Bala, Kate Revoredo, Jan Mendling |
| 2022 | High-Level Event Mining: A Framework. | Bianka Bakullari, Wil M. P. van der Aalst |
| 2022 | Visualization Libraries for Process Analytics (Extended Abstract). | Nour Assy, Cline Souchet, Thomas Bouffard, Olan Anesini |
| 2022 | Defining Cases and Variants for Object-Centric Event Data. | Jan Niklas Adams, Daniel Schuster, Seth Schmitz, Gnther Schuh, Wil M. P. van der Aalst |
| 2022 | Context-Aware Trace Alignment with Automated Planning. | Giacomo Acitelli, Marco Angelini, Silvia Bonomi, Fabrizio Maria Maggi, Andrea Marrella, Alessandro Palma |
| 2021 | Rethinking the Input for Process Mining: Insights from the XES Survey and Workshop. | Moe Thandar Wynn, Julian Lebherz, Wil M. P. van der Aalst, Rafael Accorsi, Claudio Di Ciccio, Lakmali Jayarathna, H. M. W. Verbeek |
| 2021 | PErrCas: Process Error Cascade Mining in Trace Streams. | Anna Wimbauer, Florian Richter, Thomas Seidl |
| 2021 | Combining the Clinical and Operational Perspectives in Heterogeneous Treatment Effect Inference in Healthcare Processes. | Sam Verboven, Niels Martin |
| 2021 | On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization. | Julian Theis, Ilia Mokhtarian, Houshang Darabi |
| 2021 | Automating the Design of Process Mining Pipelines through Meta-Learning (Extended Abstract). | Gabriel Marques Tavares |
| 2021 | Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring. | Alexander Stevens, Johannes De Smedt, Jari Peeperkorn |
| 2021 | Online Prediction of Aggregated Retailer Consumer Behaviour. | Yorick Spenrath, Marwan Hassani, Boudewijn F. van Dongen |
| 2021 | Process Discovery Using Graph Neural Networks. | Dominique Sommers, Vlado Menkovski, Dirk Fahland |
| 2021 | Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach. | Mahmoud Shoush, Marlon Dumas |
| 2021 | Visualizing Trace Variants from Partially Ordered Event Data. | Daniel Schuster, Lukas Schade, Sebastiaan J. van Zelst, Wil M. P. van der Aalst |
| 2021 | Exploring the Impact of Process Diversity on Business Process Performance (Extended Abstract). | Clemens Schreiber |
| 2021 | Event Log Sampling for Predictive Monitoring. | Mohammadreza Fani Sani, Mozhgan Vazifehdoostirani, Gyunam Park, Marco Pegoraro, Sebastiaan J. van Zelst, Wil M. P. van der Aalst |
| 2021 | Conformance Checking on Out-of-Order Streams (Extended Abstract). | Kristo Raun |
| 2021 | Aspect Optimalization of Robotic Process Automation (Extended Abstract). | Petr Prucha |
| 2021 | Remaining Time Prediction for Processes with Inter-case Dynamics. | Mahsa Pourbafrani, Shreya Kar, Sebastian Kaiser, Wil M. P. van der Aalst |
| 2021 | Active Anomaly Detection for Key Item Selection in Process Auditing. | Ruben Post, Iris Beerepoot, Xixi Lu, Stijn Kas, Sebastiaan Wiewel, Angelique Koopman, Hajo A. Reijers |
| 2021 | Towards Evidence-Based Analysis of Palliative Treatments for Stomach and Esophageal Cancer Patients: a Process Mining Approach. | Pam Pijnenborg, Rob Verhoeven, Murat Firat, Hanneke W. M. van Laarhoven, Laura Genga |
| 2021 | Trustworthy Artificial Intelligence and Process Mining: Challenges and Opportunities. | Andrew Pery, Majid Rafiei, Michael Simon, Wil M. P. van der Aalst |
| 2021 | Can Deep Neural Networks Learn Process Model Structure? An Assessment Framework and Analysis. | Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt |