| 2020 | Process Mining on the Extended Event Log to Analyse the System Usage During Healthcare Processes (Case Study: The GP Tab Usage During Chemotherapy Treatments). | Angelina Prima Kurniati, Geoff Hall, David C. Hogg, Owen A. Johnson |
| 2020 | AIR-BAGEL: An Interactive Root cause-Based Anomaly Generator for Event Logs. | Jonghyeon Ko, Jongyup Lee, Marco Comuzzi |
| 2020 | Online Anomaly Detection Using Statistical Leverage for Streaming Business Process Events. | Jonghyeon Ko, Marco Comuzzi |
| 2020 | Identifying and Reducing Errors in Remaining Time Prediction due to Inter-Case Dynamics. | Eva L. Klijn, Dirk Fahland |
| 2020 | Anomaly Detection on Event Logs with a Scarcity of Labels. | Sylvio Barbon Junior, Paolo Ceravolo, Ernesto Damiani, Nicolas Jashchenko Omori, Gabriel Marques Tavares |
| 2020 | An Interactive Framework to Facilitate Behavioural Pattern Exploration in Event Data (Extended Abstract). | Leen Jooken |
| 2020 | Extensions to the bupaR Ecosystem: An Overview. | Gert Janssenswillen, Felix Mannhardt, Mathijs Creemers, Benot Depaire, Mieke Jans, Leen Jooken, Niels Martin, Greg Van Houdt |
| 2020 | Process Model Discovery from Sensor Event Data. | Dominik Janssen, Felix Mannhardt, Agnes Koschmider, Sebastiaan J. van Zelst |
| 2020 | Graph-Based Process Mining. | Amin Jalali |
| 2020 | The Need for Interactive Data-Driven Process Simulation in Healthcare: A Case Study. | Gerhardus van Hulzen, Niels Martin, Benot Depaire |
| 2020 | Interactive Data-Driven Business Process Simulation (Extended Abstract). | Gerhardus van Hulzen |
| 2020 | Unsupervised Event Abstraction in a Process Mining Context: A Benchmark Study. | Greg Van Houdt, Benot Depaire, Niels Martin |
| 2020 | Mining Behavioural Patterns from Event Data to Enable Context-Aware Root Cause Analysis (Extended Abstract). | Greg Van Houdt |
| 2020 | Process Mining on FHIR - An Open Standards-Based Process Analytics Approach for Healthcare. | Emmanuel Helm, Oliver Krauss, Anna M. Lin, Andreas Pointner, Andreas Schuler, Josef Kng |
| 2020 | Explainable Predictive Process Monitoring. | Riccardo Galanti, Bernat Coma-Puig, Massimiliano de Leoni, Josep Carmona, Nicol Navarin |
| 2020 | Explainable Prescriptive Process Analytics (Extended Abstract). | Riccardo Galanti |
| 2020 | Discovery of Activities' Actor Perspective from Emails based on Speech Acts Detection. | Marwa Elleuch, Oumaima Alaoui Ismaili, Nassim Laga, Nour Assy, Walid Gaaloul |
| 2020 | Multi-Dimensional Performance Analysis and Monitoring Using Integrated Performance Spectra. | Vadim Denisov, Dirk Fahland, Wil M. P. van der Aalst |
| 2020 | Events Put into Context (EPiC). | Marcus Dees, Bart Hompes, Wil M. P. van der Aalst |
| 2020 | Event Log Extraction: How to Minimize the Effort of the Human-in-the-Loop? (Extended Abstract). | Vinicius Stein Dani |
| 2020 | A Preliminary Study on the Application of Reinforcement Learning for Predictive Process Monitoring. | Andrea Chiorrini, Claudia Diamantini, Alex Mircoli, Domenico Potena |
| 2020 | A Temporal Logic-Based Measurement Framework for Process Mining. | Alessio Cecconi, Giuseppe De Giacomo, Claudio Di Ciccio, Fabrizio Maria Maggi, Jan Mendling |
| 2020 | Behavioural Clustering by Extensive Declarative Specifications Measurements (Extended Abstract). | Alessio Cecconi |
| 2020 | Stochastic Process Discovery by Weight Estimation. | Adam Burke, Sander J. J. Leemans, Moe Thandar Wynn |
| 2020 | Time-aware Concept Drift Detection Using the Earth Mover's Distance. | Tobias Brockhoff, Merih Seran Uysal, Wil M. P. van der Aalst |