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An empirical comparison of deep-neural-network architectures for next activity prediction using context-enriched process event logs.

, , , , , , , and . CoRR, (2020)

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A Method for Predicting Workarounds in Business Processes., , , , and . PACIS, page 108. (2022)Guiding Text-to-Text Privatization by Syntax., , and . CoRR, (2023)Closing the Gap between Smart Manufacturing Applications and Data Management., , , and . Wirtschaftsinformatik (Community Tracks), page 120-136. GITO Verlag, (2020)Context-aware Explanations of Accurate Predictions in Service Processes., , , , , and . HICSS, page 1498-1507. ScholarSpace, (2024)Detecting Workarounds in Business Processes - a Deep Learning method for Analyzing Event Logs., , , , and . ECIS, (2020)Prescriptive Business Process Monitoring for Recommending Next Best Actions., , , and . BPM (Forum), volume 392 of Lecture Notes in Business Information Processing, page 193-209. Springer, (2020)Predictive Business Process Monitoringwith Context Information from Documents., , and . ECIS, (2019)Exploring the effect of context information on deep learning business process predictions., , , , and . J. Decis. Syst., 29 (Supplement): 328-343 (2020)Exploring Gated Graph Sequence Neural Networks for Predicting Next Process Activities.. Business Process Management Workshops, volume 436 of Lecture Notes in Business Information Processing, page 30-42. Springer, (2021)The Recomminder: A decision support tool for Predictive Business Process Monitoring., , , and . BPM (PhD/Demos), volume 2973 of CEUR Workshop Proceedings, page 131-135. CEUR-WS.org, (2021)