Prof. Dr. Martin Matzner

Lehrstuhl für Digital Industrial Service Systems

Seven Paradoxes of Business Process Management in a Hyper-Connected World (2021) Beverungen D, Buijs JCAM, Becker J, Di Ciccio C, van der Aalst WMP, Bartelheimer C, vom Brocke J, et al. Journal article, Original article Creating Humanistic Value with Process Mining for Improving Work Conditions - A Sociotechnical Perspective (2020) Tang W, Matzner M Conference contribution, Conference Contribution 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 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