ACVAE: A novel self-adversarial variational auto-encoder combined with contrast learning for time series anomaly detection

Xiaoxia Zhang, Shang Shi, HaiChao Sun, Degang Chen, Guoyin Wang, Kesheng Wu

Open source

DOI
10.1016/j.neunet.2023.12.023
Published
2024-03
Container
Neural Networks
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.neunet.2023.12.023,
  title = {ACVAE: A novel self-adversarial variational auto-encoder combined with contrast learning for time series anomaly detection},
  author = {Xiaoxia Zhang and Shang Shi and HaiChao Sun and Degang Chen and Guoyin Wang and Kesheng Wu},
  year = {2024},
  journal = {Neural Networks},
  doi = {10.1016/j.neunet.2023.12.023},
  url = {https://doi.org/10.1016/j.neunet.2023.12.023}
}

RIS

TY  - JOUR
TI  - ACVAE: A novel self-adversarial variational auto-encoder combined with contrast learning for time series anomaly detection
AU  - Xiaoxia Zhang
AU  - Shang Shi
AU  - HaiChao Sun
AU  - Degang Chen
AU  - Guoyin Wang
AU  - Kesheng Wu
PY  - 2024
JO  - Neural Networks
DO  - 10.1016/j.neunet.2023.12.023
UR  - https://doi.org/10.1016/j.neunet.2023.12.023
ER  - 

APA

Zhang, X., Shi, S., Sun, H., Chen, D., Wang, G., & Wu, K. (2024). ACVAE: A novel self-adversarial variational auto-encoder combined with contrast learning for time series anomaly detection. Neural Networks. https://doi.org/10.1016/j.neunet.2023.12.023

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