Time Series Anomaly Detection With Adversarial Reconstruction Networks-Reference-Cited by-同舟云学术

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Time Series Anomaly Detection With Adversarial Reconstruction Networks

Published:2023-04-01 Issue:4 Volume:35 Page:4293-4306
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Liu Shenghua¹^ORCID,Zhou Bin¹,Ding Quan¹^ORCID,Hooi Bryan²,Zhang Zhengbo³,Shen Huawei¹^ORCID,Cheng Xueqi¹

Affiliation:

1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

2. School of Computer Science, National University of Singapore, Singapore

3. Center for Artificial Intelligence in Medicine, Chinese PLA General Hospital, Beijing, China

Funder

National Natural Science Foundation of China

Strategic Priority Research Program of the Chinese Academy of Sciences

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/10063074/09669010.pdf?arnumber=9669010

Reference46 articles.

1. Support vector method for novelty detection;schölkopf;Proc Adv Neural Inf Process Syst,2000

2. Inter-patient ECG classification with convolutional and recurrent neural networks

3. A Survey on Data Collection for Machine Learning: A Big Data - AI Integration Perspective

4. Series2Graph

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