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Deep learning model (primarily convolutional networks and LSTM) for time series classification has been studied broadly by the community with the wide applications in different domains like healthcare, finance, industrial engineering and IoT.
Exact indexing of dynamic time warping - sciencedirect
Eamonn Keogh · 2002
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Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton · 2008
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Deep convolutional neural networks on multichannel time series for human activity recognition
Jianbo Yang, Minh Nhut Nguyen, Phyo Phyo San, Xiaoli Li, and Shonali Krishnaswamy · 2015
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Multi-scale convolutional neural networks for time series classification
Zhicheng Cui, Wenlin Chen, and Yixin Chen · 2016
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Data augmentation for time series classification using convolutional neural networks
Arthur Le Guennec, Simon Malinowski, and Romain Tavenard · 2016
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Encoding temporal markov dynamics in graph for visualizing and mining time series
Lu Liu and Zhiguang Wang · 2016
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Time series classification using time warping invariant echo state networks
Pattreeya Tanisaro and Gunther Heidemann · 2016
Earlier work this paper cites.
Exploiting multi-channels deep convolutional neural networks for multivariate time series classification
Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, and J Leon Zhao · 2016
Cited alongside, same era.
LSTM fully convolutional networks for time series classification
Fazle Karim, Somshubra Majumdar, Houshang Darabi, and Shun Chen · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Cited alongside, same era.
Time series classification from scratch with deep neural networks: A strong baseline
Z. Wang, W. Yan, and T. Oates · 2017
Cited alongside, same era.
Convolutional neural networks for time series classification
Bendong Zhao, Huanzhang Lu, Shangfeng Chen, Junliang Liu, and Dongya Wu · 2017
Cited alongside, same era.
Towards a universal neural network encoder for time series
Joan Serrà, Santiago Pascual, and Alexandros Karatzoglou · 2018
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Multivariate time series classification datasets, 2019
Mustafa Gokce Baydogan · 2019
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Deep learning for time series classification: a review
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, and Pierre-Alain Muller · 2019
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Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting
Shiyang Li, Xiaoyong Jin, Yao Xuan, Xiyou Zhou, Wenhu Chen, Yu-Xiang Wang, and Xifeng Yan · 2019
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Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting
Ling Cai, Krzysztof Janowicz, Gengchen Mai, Bo Yan, and Rui Zhu · 2020
Later among the works it cites.
Self-attention for raw optical satellite time series classification
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Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
Cited alongside, same era.
Learning to exploit invariances in clinical time-series data using sequence transformer networks
Jeeheh Oh, Jiaxuan Wang, and Jenna Wiens · 2018
Cited alongside, same era.
Marc Rußwurm and Marco Körner · 2020
Later among the works it cites.