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Multivariate Business Process Representation Learning utilizing Gramian Angular Fields and Convolutional Neural Networks
Learning meaningful representations of data is an important aspect of machine learning and has recently been successfully applied to many domains like language understanding or computer vision.
A systematic literature review on state-of-the-art deep learning methods for process prediction
Additionally, the set of log-data, evaluation metrics and baselines used by the authors diverge, making the results hard to compare.
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