Jens Brunk

21 papers Journal 5Unranked 15
YearRankTypeTitle / Venue / Authors
2024 — conf
Context-aware Explanations of Accurate Predictions in Service Processes.
HICSS
Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, Martin Matzner, Jörg Becker
2021 — conf
A Framework of Business Process Monitoring and Prediction Techniques.
Wirtschaftsinformatik
Frederik Wolf, Jens Brunk, Jörg Becker
2021 — conf
Bringing Light Into the Darkness - A Systematic Literature Review on Explainable Predictive Business Process Monitoring Techniques.
ECIS
Matthias Stierle, Jens Brunk, Sven Weinzierl, Sandra Zilker, Martin Matzner, Jörg Becker
2021 J jnl
Cause vs. effect in context-sensitive prediction of business process instances.
Inf. Syst.
Jens Brunk, Matthias Stierle, Leon Papke, Kate Revoredo, Martin Matzner, Jörg Becker
2021 — —
Prediction of business processes: selection and development of interpretable machine learning-based next activity prediction techniques.
Jens Brunk
2020 — conf
Abusive Comments in Online Media and How to Fight Them - State of the Domain and a Call to Action.
MISDOOM
Marco Niemann, Jens Welsing, Dennis M. Riehle, Jens Brunk, Dennis Assenmacher, Jörg Becker
2020 J jnl
An empirical comparison of deep-neural-network architectures for next activity prediction using context-enriched process event logs.
CoRR
Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, An Nguyen, Martin Matzner, Jörg Becker, Björn M. Eskofier
2020 — conf
Building an Integrated Comment Moderation System - Towards a Semi-automatic Moderation Tool.
HCI (15)
Dennis M. Riehle, Marco Niemann, Jens Brunk, Dennis Assenmacher, Heike Trautmann, Jörg Becker
2020 J jnl
Cause vs. Effect in Context-Sensitive Prediction of Business Process Instances.
CoRR
Jens Brunk, Matthias Stierle, Leon Papke, Kate Revoredo, Martin Matzner, Jörg Becker
2020 — conf
Conceptualization of an Integrated Procedure Model for Business Process Monitoring and Prediction.
CBI (1)
Jörg Becker, Jens Brunk, Wenying Ding, Marco Niemann
2020 J jnl
Exploring the effect of context information on deep learning business process predictions.
J. Decis. Syst.
Jens Brunk, Johannes Stottmeister, Sven Weinzierl, Martin Matzner, Jörg Becker
2020 — conf
Multi-Class Detection of Abusive Language Using Automated Machine Learning.
Wirtschaftsinformatik (Zentrale Tracks)
Mackenzie Jorgensen, Minho Choi, Marco Niemann, Jens Brunk, Jörg Becker
2020 — conf
Structuring Business Process Context Information for Process Monitoring and Prediction.
CBI (1)
Jens Brunk
2020 — conf
XNAP: Making LSTM-Based Next Activity Predictions Explainable by Using LRP.
Business Process Management Workshops
Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, Martin Matzner, Jörg Becker
2020 J jnl
XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP.
CoRR
Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, Martin Matzner, Jörg Becker
2019 — conf
Can Analytics as a Service Save the Online Discussion Culture? - The Case of Comment Moderation in the Media Industry.
CBI (1)
Jens Brunk, Marco Niemann, Dennis M. Riehle
2019 — conf
Effect of Transparency and Trust on Acceptance of Automatic Online Comment Moderation Systems.
CBI (1)
Jens Brunk, Jana Mattern, Dennis M. Riehle
2019 — conf
What Is Abusive Language?
MISDOOM
Marco Niemann, Dennis M. Riehle, Jens Brunk, Jörg Becker
2018 — conf
Prediction of Business Process Instances with Dynamic Bayesian Networks.
SIMPDA
Jens Brunk, Kate Revoredo, Matthias Stierle, Martin Matzner, Patrick Delfmann, Jörg Becker
2018 — conf
Prediction of Customer Movements in Large Tourism Industries by the Means of Process Mining.
ECIS
Jens Brunk, Dennis M. Riehle, Patrick Delfmann
2017 — conf
[εm] - Process Analysis using a Meta Modeling Tool.
ER Forum/Demos
Dennis M. Riehle, Steffen Höhenberger, Jens Brunk, Patrick Delfmann, Jörg Becker