Prof. Dr. Martin Matzner

Lehrstuhl für Digital Industrial Service Systems

A Process Mining Software Comparison (2020) Viner D, Stierle M, Matzner M 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 Exploring the effect of context information on deep learning business process predictions (2020) Brunk J, Stottmeister J, Weinzierl S, Matzner M, Becker J Journal article, Original article 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