Jens Brunk

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Business Process

Top Venues

Publications

Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, Martin Matzner, Jörg Becker
Context-aware Explanations of Accurate Predictions in Service Processes. HICSS (2024)
Matthias Stierle, Jens Brunk, Sven Weinzierl, Sandra Zilker, Martin Matzner, Jörg Becker
Bringing Light Into the Darkness - A Systematic Literature Review on Explainable Predictive Business Process Monitoring Techniques. ECIS (2021)
Frederik Wolf, Jens Brunk, Jörg Becker
A Framework of Business Process Monitoring and Prediction Techniques. Wirtschaftsinformatik (2021)
Jens Brunk, Matthias Stierle, Leon Papke, Kate Revoredo, Martin Matzner, Jörg Becker
Cause vs. effect in context-sensitive prediction of business process instances. Inf. Syst. 95 (2021)
Jörg Becker, Jens Brunk, Wenying Ding, Marco Niemann
Conceptualization of an Integrated Procedure Model for Business Process Monitoring and Prediction. CBI (1) (2020)
Mackenzie Jorgensen, Minho Choi, Marco Niemann, Jens Brunk, Jörg Becker
Multi-Class Detection of Abusive Language Using Automated Machine Learning. Wirtschaftsinformatik (Zentrale Tracks) (2020)
Marco Niemann, Jens Welsing, Dennis M. Riehle, Jens Brunk, Dennis Assenmacher, Jörg Becker
Abusive Comments in Online Media and How to Fight Them - State of the Domain and a Call to Action. MISDOOM (2020)
Jens Brunk
Structuring Business Process Context Information for Process Monitoring and Prediction. CBI (1) (2020)
Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, Martin Matzner, Jörg Becker
XNAP: Making LSTM-Based Next Activity Predictions Explainable by Using LRP. Business Process Management Workshops (2020)
Jens Brunk, Matthias Stierle, Leon Papke, Kate Revoredo, Martin Matzner, Jörg Becker
Cause vs. Effect in Context-Sensitive Prediction of Business Process Instances. CoRR (2020)
Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, An Nguyen, Martin Matzner, Jörg Becker, Björn M. Eskofier
An empirical comparison of deep-neural-network architectures for next activity prediction using context-enriched process event logs. CoRR (2020)
Jens Brunk, Johannes Stottmeister, Sven Weinzierl, Martin Matzner, Jörg Becker
Exploring the effect of context information on deep learning business process predictions. J. Decis. Syst. 29 (Supplement) (2020)
Dennis M. Riehle, Marco Niemann, Jens Brunk, Dennis Assenmacher, Heike Trautmann, Jörg Becker
Building an Integrated Comment Moderation System - Towards a Semi-automatic Moderation Tool. HCI (15) (2020)
Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, Martin Matzner, Jörg Becker
XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP. CoRR (2020)
Jens Brunk, Marco Niemann, Dennis M. Riehle
Can Analytics as a Service Save the Online Discussion Culture? - The Case of Comment Moderation in the Media Industry. CBI (1) (2019)
Marco Niemann, Dennis M. Riehle, Jens Brunk, Jörg Becker
What Is Abusive Language? MISDOOM (2019)
Jens Brunk, Jana Mattern, Dennis M. Riehle
Effect of Transparency and Trust on Acceptance of Automatic Online Comment Moderation Systems. CBI (1) (2019)
Jens Brunk, Dennis M. Riehle, Patrick Delfmann
Prediction of Customer Movements in Large Tourism Industries by the Means of Process Mining. ECIS (2018)
Jens Brunk, Kate Revoredo, Matthias Stierle, Martin Matzner, Patrick Delfmann, Jörg Becker
Prediction of Business Process Instances with Dynamic Bayesian Networks. SIMPDA (2018)
Dennis M. Riehle, Steffen Höhenberger, Jens Brunk, Patrick Delfmann, Jörg Becker
[εm] - Process Analysis using a Meta Modeling Tool. ER Forum/Demos (2017)