Sandra Zilker

Lehrstuhl für Digital Industrial Service Systems

The Effects of Information and Incentive Interventions on the Adoption of Algorithms in Human Resources: An Experimental Study (2025) Ochmann J, Zilker S, Michels L, Tiefenbeck V, Matzner M, Laumer S Journal 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 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 A technology-specific process mining maturity grid for manufacturing and logistics (2025) Dunzer S, Zilker S, Weinzierl S, Tang W, Dieckmann F, Stenglein S, Rist J, Matzner M Journal article, Original article Event Log Construction from Multimodel Data - A Reference Architecture for Exploiting Process Mining in IT Service Management (2025) Reinhard P, Ließmann A, Weinzierl S, Zilker S, Li MM, Matzner M, Leimeister JM Conference contribution, Conference Contribution 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 Machine learning in business process management: A systematic literature review (2024) Weinzierl S, Zilker S, Dunzer S, Matzner M Journal article, Review article 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 How risky is my AI system? A method for transparent classification of AI system descriptions by regulated AI risk categories (2024) Weinzierl S, Zilker S, Zschech P, Kraus M, Leibelt T, Matzner M Conference contribution, Conference Contribution Transfer Learning for Predictive Process Monitoring (2024) Ließmann A, Wang W, Weinzierl S, Zilker S, Matzner M Conference contribution, Conference Contribution