Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain-Reference-Cited by-同舟云学术

Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
language:
Short-container-title:

Author:

Zhang Junru¹^ORCID,Feng Lang¹^ORCID,He Yang¹^ORCID,Wu Yuhan¹^ORCID,Dong Yabo¹^ORCID

Affiliation:

1. Zhejiang University, Hangzhou, China

Funder

The Plan Project of Ningbo Municipal Science and Technology

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615076

Reference44 articles.

1. Sanjeev Arora , Nadav Cohen , and Elad Hazan . 2018 . On the optimization of deep networks: Implicit acceleration by overparameterization . In International Conference on Machine Learning. PMLR, 244--253 . Sanjeev Arora, Nadav Cohen, and Elad Hazan. 2018. On the optimization of deep networks: Implicit acceleration by overparameterization. In International Conference on Machine Learning. PMLR, 244--253.

2. Arthur Asuncion and David Newman. 2007. UCI machine learning repository. Arthur Asuncion and David Newman. 2007. UCI machine learning repository.

3. 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).

4. 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, Vol. 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, Vol. 31, 3 (2017), 606--660.

5. Correlative Channel-Aware Fusion for Multi-View Time Series Classification

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. Multivariate Time Series Anomaly Detection Based on Time-Frequency Dynamic Analysis;2024 13th International Conference on Communications, Circuits and Systems (ICCCAS);2024-05-10