EarlyMix

Source code (PyTorch) and dataset of the paper "EarlyMix: Hierarchical Mixing for Early Time Series Classification", which is accepted by IEEE International Conference on Multimedia & Expo 2025 (ICME 2025).

Homepage and Paper

Homepage: https://github.com/TSCenter/EarlyMix

Paper Access: IEEE https://ieeexplore.ieee.org/document/11209452

Dataset

You can download the dataset from here.

Unzip the dataset and put it in the script/dataset folder.

The file structure is as follows:

script/dataset/
    ChlorineConcentration/
    .../
    ECG200/

Requirements

You can install the requirements by running the following command:

pip install -r requirements.txt

Running

You can use the following command:

bash run_earlyts_all.sh

License

If you use EarlyMix in a scientific publication, we would appreciate citations to the following paper:

@inproceedings{DBLP:conf/icmcs/HuHLZ25,
  author       = {Shuguo Hu and
                  Jun Hu and
                  Junwei Lv and
                  Huaiwen Zhang},
  title        = {EarlyMix: Hierarchical Mixing for Early Time Series Classification},
  booktitle    = {{IEEE} International Conference on Multimedia and Expo, {ICME} 2025,
                  Nantes, France, June 30 - July 4, 2025},
  pages        = {1--6},
  publisher    = {{IEEE}},
  year         = {2025},
  url          = {https://doi.org/10.1109/ICME59968.2025.11209452},
  doi          = {10.1109/ICME59968.2025.11209452},
  timestamp    = {Fri, 07 Nov 2025 11:48:59 +0100},
  biburl       = {https://dblp.org/rec/conf/icmcs/HuHLZ25.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

License: GPLv3

Copyright (c) 2024-2025 IMU, China & HFUT, China & NUS, Singapore.