Coupled Attention Networks for Multivariate Time Series Anomaly Detection-Reference-Cited by-同舟云学术

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Coupled Attention Networks for Multivariate Time Series Anomaly Detection

Published:2023 Issue: Volume: Page:1-14
ISSN:2168-6750
Container-title:IEEE Transactions on Emerging Topics in Computing
language:
Short-container-title:IEEE Trans. Emerg. Topics Comput.

Author:

Xia Feng¹^ORCID,Chen Xin²,Yu Shuo³^ORCID,Hou Mingliang²^ORCID,Liu Mujie⁴,You Linlin⁵^ORCID

Affiliation:

1. School of Computing Technologies, RMIT University, Melbourne, VIC, Australia

2. School of Software, Dalian University of Technology, Dalian, China

3. School of Computer Science and Technology, Dalian University of Technology, Dalian, China

4. Institute of Innovation, Science and Sustainability, Federation University Australia, Ballarat, VIC, Australia

5. School of Intelligent Systems Engineering, Sun Yat-Sen University, Guangzhou, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Human-Computer Interaction,Information Systems,Computer Science (miscellaneous)

Link

http://xplorestaging.ieee.org/ielx7/6245516/6558478/10143344.pdf?arnumber=10143344

Cited by 6 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. Exploring spatio-temporal dynamics for enhanced wind turbine condition monitoring;Mechanical Systems and Signal Processing;2025-01

2. A robust multi-scale feature extraction framework with dual memory module for multivariate time series anomaly detection;Neural Networks;2024-09

3. FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

4. An anomaly detection model for multivariate time series with anomaly perception;PeerJ Computer Science;2024-07-31

5. Semantic-Enhanced Knowledge Graph Completion;Mathematics;2024-01-31

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