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Lehrstuhl für Digital Industrial Service Systems
Friedrich-Alexander-Universität Erlangen-Nürnberg
Rechts- und Wirtschaftswissenschaftliche Fakultät
Fachbereich Wirtschaftswissenschaften
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Publications
(193)
Research Grants
(30)
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(5)
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Journal article
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Adaptive AI-based causal control: Toward an autonomous factory in solder paste printing (2025)
Herchenbach M, Weinzierl S, Zilker S, Schwulera E, Matzner M
Journal article, Original article
From source to target: Leveraging transfer learning for predictive process monitoring in organizations (Forthcoming) (2025)
Weinzierl S, Zilker S, Ließmann A, Käppel M, Wang W, Matzner M
Journal article, Original article
Challenging the performance-interpretability trade-off: An evaluation of interpretable machine learning models (2025)
Kruschel S, Hambauer N, Weinzierl S, Zilker S, Kraus M, Zschech P
Journal article, Original article
How to Design an Engaging Online Crowdsourcing Contest in Organizations? Lessons from a German Sportswear Company (2025)
Tang W, Zilker S, Al Ghadban M, Morschheuser B, Matzner M
Conference contribution
FairLoop: Software Support for Human-Centric Fairness in Predictive Business Process Monitoring (2025)
Möhrlein F, Käppel M, Neuberger J, Weinzierl S, Ackermann L, Matzner M, Jablonski S
Conference contribution, Conference Contribution
Machine learning in business process management: A systematic literature review (2024)
Weinzierl S, Zilker S, Dunzer S, Matzner M
Journal article, Review article
Conceptualizing Business Process Violations (2024)
Dunzer S, Ließmann A, Stierle M, Matzner M
Conference contribution, other
Recent Advances in Data-Driven Business Process Management (2024)
Ackermann L, Käppel M, Marcus L, Moder L, Dunzer S, Hornsteiner M, Ließmann A, et al.
Other publication type
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis (2024)
Zilker S, Weinzierl S, Kraus M, Zschech P, Matzner M
Journal article, Original article
Predictions in Predictive Process Monitoring with Previously Unseen Categorical Values (2024)
Roider J, Wang W, Zanca D, Matzner M, Eskofier B
Conference contribution, Conference Contribution
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