Lehrstuhl für Digital Industrial Service Systems

Supply Ecosystems and The Concept of Resilience - A Literature Review (2022) Münch C, Marx E Conference contribution Text-aware predictive process monitoring with contextualized word embeddings (2022) Cabrera Pérez L, Weinzierl S, Zilker S, Matzner M Conference contribution, Conference Contribution ServML – A Domain-Specific Modeling Language as an Extension of SysML to Model Smart Service Systems (2022) Marx E Conference contribution, Conference Contribution Designing a Method for Resource-specific Next Activity Prediction (2022) Zilker S Conference contribution, Conference Contribution Unleashing Digital Process Innovation with Process Mining: Designing a Training Concept with Action Design Research (2022) Joas A, Matzner M Conference contribution, Conference Contribution GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints (2022) Zschech P, Weinzierl S, Hambauer N, Zilker S, Kraus M Conference contribution, Conference Contribution A Light in the Dark: Deep Learning Practices for Industrial Computer Vision (2022) Harl M, Herchenbach M, Kruschel S, Hambauer N, Zschech P, Kraus M Conference contribution, Conference Contribution Project Management as a B2B Service in the automotive development process (2022) Reiche F, Schmidtner M, Marx E, Matzner M, Timinger H Conference contribution, Conference Contribution Process Mining for Advanced Service Analytics – From Process Efficiency to Customer Encounter and Experience (2022) Zilker S, Marx E, Stierle M, Matzner M Conference contribution, Conference Contribution Cause vs. effect in context-sensitive prediction of business process instances (2021) Brunk J, Stierle M, Papke L, Revoredo K, Matzner M, Becker J Journal article, Original article