References

• 2013Discovering Block-Structured Process Models from Event Logs - A Constructive Approach648 cited
• 2017Predicting process behaviour using deep learning430 cited
• 2019Learning Accurate LSTM Models of Business Processes241 cited
• 2019Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science165 cited
• 2019Using Convolutional Neural Networks for Predictive Process Analytics125 cited
• 2020Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction114 cited
• 2017A Multi-stage Deep Learning Approach for Business Process Event Prediction63 cited
• 2020An interdisciplinary comparison of sequence modeling methods for next-element prediction58 cited
• 2023Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring50 cited
• 2021ProcessTransformer: Predictive Business Process Monitoring with Transformer Network38 cited
• 2016PTandLogGenerator: A Generator for Artificial Event Data.28 cited
• 2018Process mining with real world financial loan applications: Improving inference on incomplete event logs23 cited
• 2021A multi-perspective approach for the analysis of complex business processes behavior21 cited

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