论文信息 - VGG Based Unsupervised Anomaly Detection in Multivariate Time Series - 字舞流文

VGG Based Unsupervised Anomaly Detection in Multivariate Time Series

Grzegorz Jablonski

[1] Il Dong Yun,et al. Residual Error Based Anomaly Detection Using Auto-Encoder in SMD Machine Sound , 2018, Sensors.

[2] Dominique T. Shipmon,et al. Time Series Anomaly Detection; Detection of anomalous drops with limited features and sparse examples in noisy highly periodic data , 2017, ArXiv.

[3] Zhi-Hua Zhou,et al. Isolation Forest , 2008, 2008 Eighth IEEE International Conference on Data Mining.

[4] Yue Zhao,et al. PyOD: A Python Toolbox for Scalable Outlier Detection , 2019, J. Mach. Learn. Res..

[5] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.

[6] Rajeev Rastogi,et al. Efficient algorithms for mining outliers from large data sets , 2000, SIGMOD 2000.