Class-imbalanced time series anomaly detection method based on cost-sensitive hybrid network

Author:

Wang XiaofengORCID,Zhang Ying,Bai Ningning,Yu Qinhua,Wang Qin

Funder

Key Research and Development Projects of Shaanxi Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference45 articles.

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3. Smote:Synthetic minority over-sampling technique;Chawla;Journal of artificial intelligence research,2002

4. Chung, J., Gulcehre, C., Cho, K., & Bengio, Y. (2014). Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555.

5. A parsimonious mixture of gaussian trees model for oversampling in imbalanced and multimodal time-series classification;Cao;IEEE transactions on neural networks and learning systems,2014

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