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).
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/
You can install the requirements by running the following command:
pip install -r requirements.txtYou can use the following command:
bash run_earlyts_all.shIf 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.