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Found 2 papers, 1 papers with code
Bag of Recurrence Patterns Representation for Time-Series Classification
Time-Series Classification (TSC) has attracted a lot of attention in pattern recognition, because wide range of applications from different domains such as finance and health informatics deal with time-series signals.
Classification of Time-Series Images Using Deep Convolutional Neural Networks
While the majority of Time-Series Classification (TSC) literature is focused on 1D signals, this paper uses Recurrence Plots (RP) to transform time-series into 2D texture images and then take advantage of the deep CNN classifier.
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