Lehrstuhl für Digital Industrial Service Systems

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 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 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 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 Predictive end-to-end enterprise process network monitoring (2023) Oberdorf F, Schaschek M, Weinzierl S, Stein N, Matzner M, Flath C Journal article, Original article