Data Augmentation for Time Series Classification with Deep Learning Models-Reference-Cited by-同舟云学术

Data Augmentation for Time Series Classification with Deep Learning Models

Published:2023 Issue: Volume: Page:117-132
ISSN:0302-9743
Container-title:Advanced Analytics and Learning on Temporal Data
language:
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Author:

Pialla Gautier,Devanne Maxime,Weber Jonathan,Idoumghar Lhassane,Forestier Germain

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-24378-3_8

Reference23 articles.

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2. Dempster, A., Petitjean, F., Webb, G.I.: ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels. Data Min. Knowl. Discov. 34(5), 1454–1495 (2020). https://doi.org/10.1007/s10618-020-00701-z

3. Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: Imagenet: a large-scale hierarchical image database. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 248–255 (2009). https://doi.org/10.1109/CVPR.2009.5206848

4. Desai, A., Freeman, C., Wang, Z., Beaver, I.: Timevae: a variational auto-encoder for multivariate time series generation. arXiv preprint. arXiv:2111.08095 (2021)

5. Esteban, C., Hyland, S.L., Rätsch, G.: Real-valued (medical) time series generation with recurrent conditional gans. arXiv preprint. arXiv:1706.02633 (2017)

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