Dr. Sven Weinzierl

Lehrstuhl für Digital Industrial Service Systems

A method for predicting workarounds in business processes (2022) Weinzierl S, Bartelheimer C, Zilker S, Beverungen D, Matzner M Conference contribution, 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 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 technique for determining relevance scores of process activities using graph-based neural networks (2021) Stierle M, Weinzierl S, Harl M, Matzner M Journal article, Original article The recomminder: A decision support tool for predictive business process monitoring (2021) Drodt C, Weinzierl S, Matzner M, Delfmann P Conference contribution, Conference Contribution Exploring gated graph sequence neural networks for predicting next process activities (2021) Weinzierl S Conference contribution, Conference Contribution Predictive business process deviation monitoring (2021) Weinzierl S, Dunzer S, Tenschert J, Zilker S, Matzner M Conference contribution, Original article Bringing light into the darkness - A systematic literature review on explainable predictive business process monitoring techniques (2021) Stierle M, Brunk J, Weinzierl S, Zilker S, Matzner M, Becker J Conference contribution, Original article Time matters: Time-aware LSTMs for predictive business process monitoring (2020) Nguyen A, Chatterjee S, Weinzierl S, Schwinn L, Matzner M, Eskofier B Conference contribution, Conference Contribution Prescriptive business process monitoring for recommending next best actions (2020) Weinzierl S, Dunzer S, Zilker S, Matzner M Conference contribution, Original article