Semi-Unsupervised Learning for Time Series Classification (SuSL4TS)

This is the official implementation of the paper Semi-unsupervised Learning for Time Series Classification

@inproceedings{davidson2022suslts,
  author = {Davidson, Padraig and Steininger, Michael and Huhn, André and Krause, Anna and Hotho, Andreas},
  booktitle={8th SIGKDD International Workshop on Mining and Learning from Time Series--Deep Forecasting: Models, Interpretability, and Applications},
  keywords = {timeseries},
  title = {Semi-unsupervised Learning for Time Series Classification},
  url = {https://kdd-milets.github.io/milets2022/papers/MILETS_2022_paper_0947.pdf},
  year = 2022
}

Datasets

We assume that the original datasets have been downloaded from their source:

/datasets_processed -> Download and extract the original sources.

Notes

The submodule susl_base is from our repository Semi-unsupervised Learning: An In-depth Parameter Analysis.