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 Exploring Users’ Moral Reasoning Processes and their Impact on the Continued Use of Algorithmic Systems (2024) Horneber D, Tang W, Meier F, Matzner M Conference contribution, Conference Contribution 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 Data-Driven Business Models (2024) Homner N, Bellin P, Fielt E, Matzner M Book chapter / Article in edited volumes Data-Driven Business Models from an Internal Automotive OEM Perspective: Categories and Challenges (2024) Homner N Conference contribution, Conference Contribution Data Facilitator in a Squeeze? Patterns of Dependence in Data-Driven Business Models (2024) Bellin P, Homner N, Mertes D, Fielt E, 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