TARNet

Author:

Chowdhury Ranak Roy1,Zhang Xiyuan1,Shang Jingbo1,Gupta Rajesh K.1,Hong Dezhi2

Affiliation:

1. University of California, San Diego, La Jolla, CA, USA

2. Amazon, Sunnyvale, CA, USA

Funder

Semiconductor Research Corporation

National Science Foundation Convergence Accelerator

Publisher

ACM

Reference39 articles.

1. 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).

2. Yue Bai Lichen Wang Zhiqiang Tao Sheng Li and Yun Fu. 2021. Correlative Channel-Aware Fusion for Multi-View Time Series Classification. In AAAI. Yue Bai Lichen Wang Zhiqiang Tao Sheng Li and Yun Fu. 2021. Correlative Channel-Aware Fusion for Multi-View Time Series Classification. In AAAI.

3. Learning a symbolic representation for multivariate time series classification

4. XGBoost

5. ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels

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1. Multivariate time series classification with crucial timestamps guidance;Expert Systems with Applications;2024-12

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3. Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-10

4. GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

5. Orthogonality Matters: Invariant Time Series Representation for Out-of-distribution Classification;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

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