Prof. Dr. Martin Matzner

Lehrstuhl für Digital Industrial Service Systems

Explainable predictive business process monitoring using gated graph neural networks (2020) Harl M, Weinzierl S, Stierle M, Matzner M Journal article, Original article A Report on the WI-2019-Workshop on Model-Based Compliance in Information Systems (2020) Baier S, Dunzer S, Fettke P, Houy C, Matzner M, Pfeiffer P, Rehse JR, et al. Journal article The MobIS-Challenge 2019 - A Report on the WI-2019-Workshop on Model-Based Compliance in Information Systems (2020) Baier S, Dunzer S, Fettke P, Houy C, Matzner M, Pfeiffer P, Rehse JR, et al. Journal article, Report Customer Service - Device Repair Process (sp2020) (2020) Stierle M, Matzner M Other publication type, dataset A Framework to Evaluate the Viability of Robotic Process Automation for Business Process Activities (2020) Wellmann C, Stierle M, Dunzer S, Matzner M Conference contribution, Original article Modeling Platform Ecosystems (2020) Pauli T, Marx E, Dunzer S, Matzner M Conference contribution, Conference Contribution XNAP: Making LSTM-based next activity predictions explainable by using LRP (2020) Weinzierl S, Zilker S, Brunk J, Revoredo K, Matzner M, Becker J Conference contribution, Conference Contribution Enterprise System Capabilities for Organizational Change in the BPM Life Cycle (2020) Tenschert J, Tang W, Matzner M Conference contribution, Conference Contribution Detecting workarounds in business processes — A deep learning method for analyzing event logs (2020) Weinzierl S, Wolf V, Pauli T, Beverungen D, Matzner M Conference contribution, Conference Contribution Leveraging Industrial IoT Platform Ecosystems: Insights from the Complementors' Perspective (2020) Pauli T, Marx E, Matzner M Conference contribution, Conference Contribution