| 2025 | BPM | A Procedural Framework for Assessing the Desirability of Process Deviations. | Michael Grohs, Nadine Cordes, Jana-Rebecca Rehse |
| 2025 | BPM | Detecting Undesired Process Behavior by Means of Retrieval Augmented Generation. | Michael Grohs, Adrian Rebmann, Jana-Rebecca Rehse |
| 2025 | BPM | Mental Maps in Process Mining: Does Stabilizing DFGs Improve Process Analysis Performance? | Marie-Christin Hge, Jana-Rebecca Rehse |
| 2025 | BPM | Comparing Apples with Oranges: An Assessment Framework for Model-System Similarity. | Martin Kabierski, Jana-Rebecca Rehse, Jan Martijn E. M. van der Werf |
| 2025 | EDOC | Modelling and Estimating Inter-Case Effects in Business Processes Stochastically. | Sander J. J. Leemans, Michael Grohs, Jana-Rebecca Rehse |
| 2024 | BPM | Multivariate Anomaly Detection in Object-Centric Event Data. | Luka Abb, Jana-Rebecca Rehse |
| 2024 | BPM | Beyond Log and Model Moves in Conformance Checking: Discovering Process-Level Deviation Patterns. | Michael Grohs, Han van der Aa, Jana-Rebecca Rehse |
| 2024 | ICIS | Digitally Supported Emotion Regulation A Conceptualization Based on Trace Data Analysis of mHealth Use. | Mechthild Pieper, Jana-Rebecca Rehse, Monica Fallon |
| 2024 | ICPM | A Taxonomy for Conformance Checking Visualizations. | Marie-Christin Hge, Jana-Rebecca Rehse |
| 2024 | ICPM | CauseCheck: A Tool for Simulating Deviations in Event Logs with Known Root Causes. | Frederik Hake, Simon Schneider, Nikolaos Theofanopoulos, Camila Gonzlez, Poey Sie Chuah, Michael Grohs, Jana-Rebecca Rehse |
| 2023 | BPM | A Discussion on Generalization in Next-Activity Prediction. | Luka Abb, Peter Pfeiffer, Peter Fettke, Jana-Rebecca Rehse |
| 2023 | BPM | Automating Computer Software Validation in Regulated Industries with Robotic Process Automation. | Nourhan Elsayed, Luka Abb, Heike Sander, Jana-Rebecca Rehse |
| 2023 | BPM | Large Language Models Can Accomplish Business Process Management Tasks. | Michael Grohs, Luka Abb, Nourhan Elsayed, Jana-Rebecca Rehse |
| 2023 | ICPM | Business Process Deviation Prediction: Predicting Non-Conforming Process Behavior. | Michael Grohs, Peter Pfeiffer, Jana-Rebecca Rehse |
| 2022 | BPM | A Reference Data Model for Process-Related User Interaction Logs. | Luka Abb, Jana-Rebecca Rehse |
| 2022 | BPM | Mastering Robotic Process Automation with Process Mining. | Simone Agostinelli, Andrea Marrella, Luka Abb, Jana-Rebecca Rehse |
| 2022 | BPM | Uncovering Object-Centric Data in Classical Event Logs for the Automated Transformation from XES to OCEL. | Adrian Rebmann, Jana-Rebecca Rehse, Han van der Aa |
| 2022 | ICPM | Attribute-Based Conformance Diagnosis: Correlating Trace Attributes with Process Conformance. | Michael Grohs, Jana-Rebecca Rehse |
| 2022 | ICPM | SAP Signavio Academic Models: A Large Process Model Dataset. | Diana Sola, Christian Warmuth, Bernhard Schfer, Peyman Badakhshan, Jana-Rebecca Rehse, Timotheus Kampik |
| 2021 | BPM | Are We Doing Things Right? An Approach to Measure Process Inefficiencies in the Control Flow. | Fareed Zandkarimi, Jonas Rennemeier, Jana-Rebecca Rehse |
| 2021 | GI | 7. Workshop zum Stand und den Herausforderungen des Geschftsprozessmanagements. | Ralf Laue, Jana-Rebecca Rehse, Thorsten Schoormann |
| 2020 | BPM | IoT-Based Activity Recognition for Process Assistance in Human-Robot Disaster Response. | Adrian Rebmann, Jana-Rebecca Rehse, Mira Pinter, Marius Schnaubelt, Kevin Daun, Peter Fettke |
| 2020 | BPM | Leveraging Artificial Intelligence for Business Process Management (Extended Abstract). | Jana-Rebecca Rehse |
| 2020 | BPM | Interactive Process Clustering with t-SNE. | Steffen Schumann, Jana-Rebecca Rehse, Sebastian Baumann, Peter Fettke |
| 2020 | GI | Stand, Herausforderungen und Impulse des Geschftsprozessmanagements. | Michael Fellmann, Ralf Laue, Birger Lantow, Jana-Rebecca Rehse |
| 2020 | GI | Towards an Automated Assessment of Graphical (Business Process) Modelling Competences. | Michael Striewe, Constantin Houy, Jana-Rebecca Rehse, Meike Ullrich, Peter Fettke, Niclas Schaper, Andreas Oberweis |
| 2020 | ICPM | A Generic Framework for Trace Clustering in Process Mining. | Fareed Zandkarimi, Jana-Rebecca Rehse, Pouya Soudmand, Hartmut Hoehle |
| 2019 | BPM | Supporting Complaint Management in the Medical Technology Industry by Means of Deep Learning. | Philip Hake, Jana-Rebecca Rehse, Peter Fettke |
| 2018 | BPM | Process Mining Crimes - A Threat to the Validity of Process Discovery Evaluations. | Jana-Rebecca Rehse, Peter Fettke |
| 2018 | BPM | Clustering Business Process Activities for Identifying Reference Model Components. | Jana-Rebecca Rehse, Peter Fettke |
| 2017 | BPM | Process Mining and the Black Swan: An Empirical Analysis of the Influence of Unobserved Behavior on the Quality of Mined Process Models. | Jana-Rebecca Rehse, Peter Fettke, Peter Loos |
| 2017 | BPM | Speech Acts in Actual Processes: Evaluation of Interfaces and Triggers in ITIL. | Johannes Tenschert, Jana-Rebecca Rehse, Peter Fettke, Richard Lenz |
| 2017 | CaiSE | XES Tensorflow - Process Prediction using the Tensorflow Deep-Learning Framework. | Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke |
| 2017 | WI | Towards Situational Reference Model Mining - Main Idea, Procedure Model & Case Study. | Jana-Rebecca Rehse, Peter Fettke |
| 2016 | BPM | A Deep Learning Approach for Predicting Process Behaviour at Runtime. | Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke |
| 2016 | BPM | Mining Reference Process Models from Large Instance Data. | Jana-Rebecca Rehse, Peter Fettke |
| 2016 | CloudCom | Process Discovery from Event Stream Data in the Cloud - A Scalable, Distributed Implementation of the Flexible Heuristics Miner on the Amazon Kinesis Cloud Infrastructure. | Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke |
| 2016 | GI | Inductive reference model development: recent results and current challenges. | Jana-Rebecca Rehse, Philip Hake, Peter Fettke, Peter Loos |