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Learning uncertainty with artificial neural networks for predictive process monitoring · Study

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ArticleLearning uncertainty with artificial neural networks for predictive process monitoring

Hans Weytjens2022

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Articlegreen2022

Learning uncertainty with artificial neural networks for predictive process monitoring

Hans Weytjens · Jochen De Weerdt

39 citations·0/0 files stored·Applied Soft Computing

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Business Process Modeling and Analysis Fault Detection and Control Systems Gaussian Processes and Bayesian Inference

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References

2017Predictive Business Process Monitoring with LSTM Neural Networks 2010Time prediction based on process mining 1996Aleatory and epistemic uncertainty in probability elicitation with an example from hazardous waste management 2019Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring 2020Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction 2008Cycle Time Prediction: When Will This Case Finally Be Finished?2017LSTM networks for data-aware remaining time prediction of business process instances 2014Data-aware remaining time prediction of business process instances

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2023Modelling and Predictive Monitoring of Business Processes under Uncertainty with Reinforcement Learning

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Details

Year2022

Typearticle

Published2022-06-11

VenueApplied Soft Computing

ISSN-L1568-4946

Languageen

Citations39

Files0 public / 0

ShelfBusiness Process Modeling and Analysis

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doi10.1016/j.asoc.2022.109134

openalex_workW4289920914

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