GENDIS: Genetic Discovery of Shapelets

@article{Vandewiele2019GENDISGD,
  title={GENDIS: Genetic Discovery of Shapelets},
  author={Gilles Vandewiele and Femke Ongenae and Filip De Turck},
  journal={Sensors (Basel, Switzerland)},
  year={2019},
  volume={21}
}
In the time series classification domain, shapelets are subsequences that are discriminative of a certain class. It has been shown that classifiers are able to achieve state-of-the-art results by taking the distances from the input time series to different discriminative shapelets as the input. Additionally, these shapelets can be visualized and thus possess an interpretable characteristic, making them appealing in critical domains, where longitudinal data are ubiquitous. In this study, a new… 

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