Prof. Dr. Martin Matzner

Lehrstuhl für Digital Industrial Service Systems

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 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 Process Analytics Workbench (PAW) (2024) Wang W, Amann E, Matzner M, Delfmann P Conference contribution 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 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