A Semi-Supervised VAE Based Active Anomaly Detection Framework in Multivariate Time Series for Online Systems.

@inproceedings{huang-2022-semisupervised, author = {Tao Huang and Pengfei Chen and Ruipeng Li}, editor = {Fr\'{e}d\'{e}rique Laforest and Rapha\"{e}l Troncy and Elena Simperl and Deepak Agarwal and Aristides Gionis and Ivan Herman and Lionel M\'{e}dini}, title = {{A Semi-Supervised VAE Based Active Anomaly Detection Framework in Multivariate Time Series for Online Systems}}, booktitle = {{WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022}}, pages = {1797--1806}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3485447.3511984}, doi = {https://doi.org/10.1145/3485447.3511984} }