Dr. Sven Weinzierl

Lehrstuhl für Digital Industrial Service Systems

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 Towards automated business process redesign in runtime using generative machine learning (2024) Harl M, Zilker S, Weinzierl S Conference contribution, Conference Contribution Predicting Customer Satisfaction in Service Processes Using Multilingual Large Language Models (2024) Ließmann A, Zilker S, Weinzierl S, Sukhareva M, Matzner M Conference contribution, Conference Contribution Context-aware explanations of accurate predictions in service processes (2024) Weinzierl S, Zilker S, Brunk J, Revoredo K, Matzner M, Becker J Conference contribution, Conference Contribution Interpretable generalized additive neural networks (2024) Kraus M, Tschernutter D, Weinzierl S, Zschech P Journal article, Original article Guiding text-to-text privatization by syntax (2023) Arnold S, Yesilbas D, Weinzierl S Conference contribution, Conference Contribution Driving context into text-to-text privatization (2023) Arnold S, Yesilbas D, Weinzierl S Conference contribution, Conference Contribution