You're currently viewing an old version of this dataset. To see the current version, click here.

Multi-Faceted Representation Learning with Hybrid Architecture for Time Series Classification

Time series classification problems exist in many fields and have been explored for a couple of decades. However, they still remain challenging, and their solutions need to be further improved for real-world applications in terms of both accuracy and efficiency.

Data and Resources

Cite this as

Zhenyu Liu, Jian Cheng (2024). Dataset: Multi-Faceted Representation Learning with Hybrid Architecture for Time Series Classification. https://doi.org/10.57702/5yuxynwv

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2012.11472
Author Zhenyu Liu
More Authors
Jian Cheng
Homepage https://arxiv.org/abs/2009.09641