Eine Untersuchung der Potentiale automatisierter Abstraktionsansätze für Geschäftsprozessmodelle im Hinblick auf die induktive Entwicklung von Referenzprozessmodellen. - Jana-Rebecca Rehse; Peter Fettke; Peter Loos (Wirtschaftsinformatik, 2013)

A Deep Learning Approach for Predicting Process Behaviour at Runtime. - Joerg Evermann; Jana-Rebecca Rehse; Peter Fettke (Business Process Management Workshops, 2016)

Mining Reference Process Models from Large Instance Data. - Jana-Rebecca Rehse; Peter Fettke (Business Process Management Workshops, 2016)

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 (CloudCom, 2016)

An Execution-Semantic Approach to Inductive Reference Model Development. - Jana-Rebecca Rehse; Peter Fettke; Peter Loos (ECIS, 2016)

Inductive reference model development: recent results and current challenges. - Jana-Rebecca Rehse; Philip Hake; Peter Fettke; Peter Loos (GI-Jahrestagung, 2016)

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 (Business Process Management Workshops, 2017)

Speech Acts in Actual Processes: Evaluation of Interfaces and Triggers in ITIL. - Johannes Tenschert; Jana-Rebecca Rehse; Peter Fettke; Richard Lenz (Business Process Management Workshops, 2017)

XES Tensorflow - Process Prediction using the Tensorflow Deep-Learning Framework. - Joerg Evermann; Jana-Rebecca Rehse; Peter Fettke (CAiSE-Forum-DC, 2017)

Towards Situational Reference Model Mining - Main Idea, Procedure Model & Case Study. - Jana-Rebecca Rehse; Peter Fettke (Wirtschaftsinformatik, 2017)

Predicting process behaviour using deep learning. - Joerg Evermann; Jana-Rebecca Rehse; Peter Fettke (Decis. Support Syst., 2017)

A graph-theoretic method for the inductive development of reference process models. - Jana-Rebecca Rehse; Peter Fettke; Peter Loos (Softw. Syst. Model., 2017)

Process Mining Crimes - A Threat to the Validity of Process Discovery Evaluations. - Jana-Rebecca Rehse; Peter Fettke (BPM (Forum), 2018)

Clustering Business Process Activities for Identifying Reference Model Components. - Jana-Rebecca Rehse; Peter Fettke (Business Process Management Workshops, 2018)

Business process management for Industry 4.0 - Three application cases in the DFKI-Smart-Lego-Factory. - Jana-Rebecca Rehse; Sharam Dadashnia; Peter Fettke (it Inf. Technol., 2018)

Supporting Complaint Management in the Medical Technology Industry by Means of Deep Learning. - Philip Hake; Jana-Rebecca Rehse; Peter Fettke (Business Process Management Workshops, 2019)

Team communication processing and process analytics for supporting robot-assisted emergency response. - Christian Willms; Constantin Houy; Jana-Rebecca Rehse; Peter Fettke; Ivana Kruijff-Korbayová (SSRR, 2019)

Model-Based Compliance in Information Systems - Foundations, Case Description and Data Set of the MobIS-Challenge for Students and Doctoral Candidates. - Constantin Houy; Jana-Rebecca Rehse; Martin Scheid; Peter Fettke (Wirtschaftsinformatik, 2019)

A Procedure Model for Situational Reference Model Mining. - Jana-Rebecca Rehse; Peter Fettke (Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model., 2019)

Towards Explainable Process Predictions for Industry 4.0 in the DFKI-Smart-Lego-Factory. - Jana-Rebecca Rehse; Nijat Mehdiyev; Peter Fettke (Künstliche Intell., 2019)

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 (BPM (Forum), 2020)

Leveraging Artificial Intelligence for Business Process Management (Extended Abstract). - Jana-Rebecca Rehse (BPM (PhD/Demos), 2020)

Interactive Process Clustering with t-SNE. - Steffen Schumann; Jana-Rebecca Rehse; Sebastian Baumann; Peter Fettke (BPM (PhD/Demos), 2020)

Stand, Herausforderungen und Impulse des Geschäftsprozessmanagements. - Michael Fellmann; Ralf Laue 001; Birger Lantow; Jana-Rebecca Rehse (GI-Jahrestagung, 2020)

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 (GI-Jahrestagung, 2020)

A Generic Framework for Trace Clustering in Process Mining. - Fareed Zandkarimi; Jana-Rebecca Rehse; Pouya Soudmand; Hartmut Hoehle (ICPM, 2020)

2. Workshop zur Modellierung in der Hochschullehre (preface) (2nd Workshop on Modeling in Higher Education Teaching). - Jana-Rebecca Rehse; Michael Striewe; Meike Ullrich (Modellierung (Companion), 2020)

Prozessorientierte Schulung von Einsatzkräften für robotergestützte Rettungsmissionen der Feuerwehr. - Alexander Berrang; Constantin Houy; Jana-Rebecca Rehse; Peter Fettke (Wirtschaftsinformatik (Community Tracks), 2020)

Entwicklung eines Referenzprozessmodells für Rettungseinsätze der Feuerwehr und Anwendung als Grundlage eines Prozessassistenzsystems. - Cai Hussung; Jana-Rebecca Rehse; Constantin Houy; Peter Fettke (Wirtschaftsinformatik (Zentrale Tracks), 2020)

The MobIS-Challenge 2019 A Report on the WI-2019-Workshop on Model-Based Compliance in Information Systems. - Stephan Baier; Sebastian Dunzer; Peter Fettke; Constantin Houy; Martin Matzner; Peter Pfeiffer; Jana-Rebecca Rehse; Martin Scheid; Sebastian Stephan; Matthias Stierle; Brian Willems (Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model., 2020)

Are We Doing Things Right? An Approach to Measure Process Inefficiencies in the Control Flow. - Fareed Zandkarimi; Jonas Rennemeier; Jana-Rebecca Rehse (BPM (Forum), 2021)

Conformance Checking with Regulations - A Research Agenda. - Luise Pufahl; Jana-Rebecca Rehse (EMISA, 2021)

7. Workshop zum Stand und den Herausforderungen des Geschäftsprozessmanagements. - Ralf Laue 001; Jana-Rebecca Rehse; Thorsten Schoormann (GI-Jahrestagung, 2021)

Toward Automated Support of Complaint Handling Processes: An Application in the Medical Technology Industry. - Philip Hake; Jana-Rebecca Rehse; Peter Fettke (J. Data Semant., 2021)

A Reference Data Model for Process-Related User Interaction Logs. - Luka Abb; Jana-Rebecca Rehse (BPM, 2022)

Mastering Robotic Process Automation with Process Mining. - Simone Agostinelli; Andrea Marrella; Luka Abb; Jana-Rebecca Rehse (BPM, 2022)

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 (BPM, 2022)

Trace Clustering for User Behavior Mining. - Luka Abb; Carsten Bormann; Han van der Aa; Jana-Rebecca Rehse (ECIS, 2022)

Attribute-Based Conformance Diagnosis: Correlating Trace Attributes with Process Conformance. - Michael Grohs; Jana-Rebecca Rehse (ICPM Workshops, 2022)

SAP Signavio Academic Models: A Large Process Model Dataset. - Diana Sola; Christian Warmuth; Bernhard Schäfer; Peyman Badakhshan; Jana-Rebecca Rehse; Timotheus Kampik (ICPM Workshops, 2022)

Augmented Business Process Management Systems: A Research Manifesto. - Marlon Dumas; Fabiana Fournier; Lior Limonad; Andrea Marrella; Marco Montali; Jana-Rebecca Rehse; Rafael Accorsi; Diego Calvanese; Giuseppe De Giacomo; Dirk Fahland; Avigdor Gal; Marcello La Rosa; et al. (CoRR, 2022)

A Discussion on Generalization in Next-Activity Prediction. - Luka Abb; Peter Pfeiffer; Peter Fettke; Jana-Rebecca Rehse (Business Process Management Workshops, 2023)

Automating Computer Software Validation in Regulated Industries with Robotic Process Automation. - Nourhan Elsayed; Luka Abb; Heike Sander; Jana-Rebecca Rehse (BPM (Blockchain and RPA Forum), 2023)

Large Language Models Can Accomplish Business Process Management Tasks. - Michael Grohs; Luka Abb; Nourhan Elsayed; Jana-Rebecca Rehse (Business Process Management Workshops, 2023)

Process Mining Meets Visual Analytics: The Case of Conformance Checking. - Jana-Rebecca Rehse; Luise Pufahl; Michael Grohs; Lisa-Marie Klein (HICSS, 2023)

Business Process Deviation Prediction: Predicting Non-Conforming Process Behavior. - Michael Grohs; Peter Pfeiffer; Jana-Rebecca Rehse (ICPM, 2023)

AI-augmented Business Process Management Systems: A Research Manifesto. - Marlon Dumas; Fabiana Fournier; Lior Limonad; Andrea Marrella; Marco Montali; Jana-Rebecca Rehse; Rafael Accorsi; Diego Calvanese; Giuseppe De Giacomo; Dirk Fahland; Avigdor Gal; Marcello La Rosa; et al. (ACM Trans. Manag. Inf. Syst., 2023)

Multivariate Anomaly Detection in Object-Centric Event Data. - Luka Abb; Jana-Rebecca Rehse (BPM (Forum), 2024)

Beyond Log and Model Moves in Conformance Checking: Discovering Process-Level Deviation Patterns. - Michael Grohs; Han van der Aa; Jana-Rebecca Rehse (BPM, 2024)

Process Mining Meets Visual Analytics. - Luise Pufahl; Michael Grohs; Lisa-Marie Klein; Jana-Rebecca Rehse (EMISA, 2024)

Digitally Supported Emotion Regulation A Conceptualization Based on Trace Data Analysis of mHealth Use. - Mechthild Pieper; Jana-Rebecca Rehse; Monica Fallon (ICIS, 2024)

A Taxonomy for Conformance Checking Visualizations. - Marie-Christin Häge; Jana-Rebecca Rehse (ICPM Workshops, 2024)

CauseCheck: A Tool for Simulating Deviations in Event Logs with Known Root Causes. - Frederik Hake; Simon Schneider; Nikolaos Theofanopoulos; Camila González; Poey Sie Chuah; Michael Grohs; Jana-Rebecca Rehse (ICPM Doctoral Consortium / Demo, 2024)

Process Mining and Visual Analytics. - Han van der Aa; Claudio Di Ciccio; Djordje Djurica; Kathrin Figl; Jan Mendling; Luise Pufahl; Jana-Rebecca Rehse; Maxim Vidgof (CBI, 2024)

Process-related user interaction logs: State of the art, reference model, and object-centric implementation. - Luka Abb; Jana-Rebecca Rehse (Inf. Syst., 2024)

User Behavior Mining. - Jana-Rebecca Rehse; Luka Abb; Gregor Berg; Carsten Bormann; Timotheus Kampik; Christian Warmuth (Bus. Inf. Syst. Eng., 2024)

A Procedural Framework for Assessing the Desirability of Process Deviations. - Michael Grohs; Nadine Cordes; Jana-Rebecca Rehse (BPM, 2025)

Mental Maps in Process Mining: Does Stabilizing DFGs Improve Process Analysis Performance? - Marie-Christin Häge; Jana-Rebecca Rehse (BPM, 2025)

Identifying Process Improvement Opportunities Through Process Execution Benchmarking. - Luka Abb; Majid Rafiei; Timotheus Kampik; Jana-Rebecca Rehse (BPMDS/EMMSAD@CAiSE, 2025)

Proactive conformance checking: An approach for predicting deviations in business processes. - Michael Grohs; Peter Pfeiffer; Jana-Rebecca Rehse (Inf. Syst., 2025)

Human Behavior Mining: A Framework for Theorizing About mHealth Behavior Using Digital Trace Data. - Monica Fallon; Jana-Rebecca Rehse; Armin Heinzl (J. Assoc. Inf. Syst., 2025)

On Process Discovery Experimentation: Addressing the Need for Research Methodology in Process Discovery. - Jana-Rebecca Rehse; Sander J. J. Leemans; Peter Fettke; Jan Martijn E. M. van der Werf (ACM Trans. Softw. Eng. Methodol., 2025)

Detecting Undesired Process Behavior by Means of Retrieval Augmented Generation. - Michael Grohs; Adrian Rebmann; Jana-Rebecca Rehse (CoRR, 2025)

Learning from the Data to Predict the Process. - Peter Pfeiffer; Luka Abb; Peter Fettke; Jana-Rebecca Rehse (Bus. Inf. Syst. Eng., 2025)

A task taxonomy for conformance checking. - Jana-Rebecca Rehse; Michael Grohs; Finn Klessascheck; Lisa-Marie Klein; Tatiana von Landesberger; Luise Pufahl (Inf. Syst., 2026)