VAE-LSTM for anomaly detection (ICASSP'20) This Github repository hosts our code and pre-processed data to train a VAE-LSTM hybrid model for anomaly detection, as proposed in our paper: Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model. ...
VAE-LSTM for anomaly detection (ICASSP'20) This Github repository hosts our code and pre-processed data to train a VAE-LSTM hybrid model for anomaly detection, as proposed in our paper: Anomaly Detection for Time Series Using VAE-LSTM Hybrid Model. Shuyu Lin1, Ronald Clark2, Robert Birke...
Recently, it has also been successfully applied in anomaly detection [70]. For a more meaningful comparison, we implemented a BiLSTM anomaly detector model with the same number of layers and cells per layer as its LSTM counterpart, described in the above section. Again, we applied dropout ...
Anomaly detection for time series using VAE-LSTM hybrid model. In Proceedings of the 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 4–8 May 2020; pp. 4322–4326. [Google Scholar] Bao, J.; Chen, D.; Wen, F.; Li, H.; Hua, ...