Matthias Stierle

Lehrstuhl für Digital Industrial Service Systems

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 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 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 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 A Process Mining Software Comparison (2020) Viner D, Stierle M, Matzner M Conference contribution, Conference Contribution 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 Robotic Process Automation: Hype or Hope? (2020) Hindel J, Cabrera Pérez L, Stierle M Conference contribution, Conference Contribution 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