FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification

Author:

Cheng Mingyue1ORCID,Liu Qi1ORCID,Liu Zhiding1ORCID,Li Zhi2ORCID,Luo Yucong1ORCID,Chen Enhong1ORCID

Affiliation:

1. University of Science and Technology of China, China and State Key Laboratory of Cognitive Intelligence, China

2. Tsinghua University, China

Publisher

ACM

Reference51 articles.

1. Thomas Bachlechner Bodhisattwa Prasad Majumder Henry Mao Gary Cottrell and Julian McAuley. 2021. Rezero is all you need: Fast convergence at large depth. In Uncertainty in Artificial Intelligence. PMLR 1352–1361. Thomas Bachlechner Bodhisattwa Prasad Majumder Henry Mao Gary Cottrell and Julian McAuley. 2021. Rezero is all you need: Fast convergence at large depth. In Uncertainty in Artificial Intelligence. PMLR 1352–1361.

2. Anthony Bagnall , Hoang Anh Dau , Jason Lines , Michael Flynn, James Large, Aaron Bostrom, Paul Southam, and Eamonn Keogh. 2018 . The UEA multivariate time series classification archive, 2018. arXiv preprint arXiv:1811.00075 (2018). Anthony Bagnall, Hoang Anh Dau, Jason Lines, Michael Flynn, James Large, Aaron Bostrom, Paul Southam, and Eamonn Keogh. 2018. The UEA multivariate time series classification archive, 2018. arXiv preprint arXiv:1811.00075 (2018).

3. Anthony Bagnall , Jason Lines , Aaron Bostrom, James Large, and Eamonn Keogh. 2017 . The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data mining and knowledge discovery 31, 3 (2017), 606–660. Anthony Bagnall, Jason Lines, Aaron Bostrom, James Large, and Eamonn Keogh. 2017. The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances. Data mining and knowledge discovery 31, 3 (2017), 606–660.

4. Shaojie Bai , J Zico Kolter , and Vladlen Koltun . 2018. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. arXiv preprint arXiv:1803.01271 ( 2018 ). Shaojie Bai, J Zico Kolter, and Vladlen Koltun. 2018. An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. arXiv preprint arXiv:1803.01271 (2018).

5. Multi-scale Attention Convolutional Neural Network for time series classification

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