Dr. Sven Weinzierl

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Lehrstuhl für Digital Industrial Service Systems

Award(s)

(3)

Project Leads

(1)

Publications

(39)

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 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 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 Closing the gap between smart manufacturing applications and data management (2020) Marx E, Stierle M, Weinzierl S, Matzner M Conference contribution, Conference Contribution From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events (2020) Weinzierl S, Zilker S, Stierle M, Park G, Matzner M Conference contribution, Conference Contribution A next click recommender system for web-based service analytics with context-aware LSTMs (2020) Weinzierl S, Stierle M, Zilker S, Matzner M Conference contribution, Original article Predictive business process monitoring with context information from documents (2019) Weinzierl S, Revoredo K, Matzner M Conference contribution, Conference Contribution

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