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Jens Brunk
Jens Brunk
European Research Center for Information Systems (ERCIS), University of Münster
Verified email at ercis.uni-muenster.de
Title
Cited by
Cited by
Year
Effect of Transparency and Trust on Acceptance of Automatic Online Comment Moderation Systems
J Brunk, J Mattern, DM Riehle
2019 IEEE 21st Conference on Business Informatics (CBI) 1, 429-435, 2019
482019
XNAP: making LSTM-based next activity predictions explainable by using LRP
S Weinzierl, S Zilker, J Brunk, K Revoredo, M Matzner, J Becker
International Conference on Business Process Management, 129-141, 2020
332020
Cause vs. Effect in Context-Sensitive Prediction of Business Process Instances
J Brunk, M Stierle, L Papke, K Revoredo, M Matzner, J Becker
Information Systems, 2020
322020
Exploring the effect of context information on deep learning business process predictions
J Brunk, J Stottmeister, S Weinzierl, M Matzner, J Becker
Journal of Decision Systems 29 (sup1), 328-343, 2020
202020
An empirical comparison of deep-neural-network architectures for next activity prediction using context-enriched process event logs
S Weinzierl, S Zilker, J Brunk, K Revoredo, A Nguyen, M Matzner, ...
arXiv preprint arXiv:2005.01194, 2020
182020
Bringing Light Into the Darkness-A Systematic Literature Review on Explainable Predictive Business Process Monitoring Techniques
M Stierle, J Brunk, S Weinzierl, S Zilker, M Matzner, J Becker
172021
What is abusive language? Integrating different views on abusive language for machine learning
M Niemann, DM Riehle, J Brunk, J Becker
Multidisciplinary International Symposium on Disinformation in Open Online …, 2019
132019
Building an integrated comment moderation system–towards a semi-automatic moderation tool
DM Riehle, M Niemann, J Brunk, D Assenmacher, H Trautmann, J Becker
International Conference on Human-Computer Interaction, 71-86, 2020
82020
Structuring business process context information for process monitoring and prediction
J Brunk
2020 IEEE 22nd Conference on Business Informatics (CBI) 1, 39-48, 2020
72020
Abusive Comments in Online Media and How to Fight Them: State of the Domain and a Call to Action
M Niemann, J Welsing, DM Riehle, J Brunk, D Assenmacher, J Becker
Disinformation in Open Online Media: Second Multidisciplinary International …, 2020
72020
Multi-Class Detection of Abusive Language Using Automated Machine Learning
M Jorgensen, M Choi, M Niemann, J Brunk, J Becker
15th International Conference on Wirtschaftsinformatik, 2020
52020
Can Analytics as a Service Save the Online Discussion Culture?-The Case of Comment Moderation in the Media Industry
J Brunk, M Niemann, DM Riehle
2019 IEEE 21st Conference on Business Informatics (CBI) 1, 472-481, 2019
52019
Prediction of Customer Movements in Large Tourism Industries by the Means of Process Mining.
J Brunk, DM Riehle, P Delfmann
ECIS, 40, 2018
52018
Australian Digital Commerce: A commentary on the retail sector
K Riemer, J Brunk, U Gal, B Gilchriest, R Ord
University of Sydney Business School and Capgemini, 2013
52013
A Framework of Business Process Monitoring and Prediction Techniques
F Wolf, J Brunk, J Becker
International Conference on Wirtschaftsinformatik, 714-724, 2021
42021
Conceptualization of an Integrated Procedure Model for Business Process Monitoring and Prediction
J Becker, J Brunk, W Ding, M Niemann
2020 IEEE 22nd Conference on Business Informatics (CBI) 1, 49-57, 2020
22020
Prediction of Business Process Instances with Dynamic Bayesian Networks.
J Brunk, K Revoredo, M Stierle, M Matzner, P Delfmann, J Becker
SIMPDA, 50-54, 2018
22018
Australian Digital Commerce: Now is the time for Australian Retailers to Address the Customer Engagement Gap
K Riemer, U Gal, J Brunk, B Gilchriest, R Ord, JA Tong
University of Sydney, Business School and Capgemini, 2014
12014
Context-aware Explanations of Accurate Predictions in Service Processes
S Weinzierl, S Zilker, J Brunk, K Revoredo, M Matzner, J Becker
2024
(Semi-) Automatische Kommentarmoderation zur Erhaltung Konstruktiver Diskurse
M Niemann, D Assenmacher, J Brunk, DM Riehle, H Trautmann, J Becker
Hate Speech: Definitionen, Ausprägungen, Lösungen, 249-274, 2022
2022
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