Prof. Dr. Martin Matzner

Lehrstuhl für Digital Industrial Service Systems

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 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 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 Process Analytics Workbench (PAW) (2024) Wang W, Amann E, Matzner M, Delfmann P Conference contribution Predictions in Predictive Process Monitoring with Previously Unseen Categorical Values (2024) Roider J, Wang W, Zanca D, Matzner M, Eskofier B Conference contribution, Conference Contribution City 5.0: Citizen involvement in the design of future cities (2023) Becker J, Chasin F, Rosemann M, Beverungen D, Priefer J, Brocke Jv, Matzner M, et al. Journal article Design Principles for Using Business Process Management Systems (2023) Dunzer S, Tang W, Höchstädter N, Zilker S, Matzner M Book chapter / Article in edited volumes