Dr. Sven Weinzierl



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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

CareerBERT: Matching resumes to ESCO jobs in a shared embedding space for generic job recommendations (forthcoming) (2025) Rosenberger J, Wolfrum L, Weinzierl S, Kraus M, Zschech P 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 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 Machine learning in business process management: A systematic literature review (2024) Weinzierl S, Zilker S, Dunzer S, Matzner M Journal article, Review article 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 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
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