6 citations · 9 across the 8 of their papers we have counts for
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cs.LG2020
Reconstruct Anomaly to Normal: Adversarial Learned and Latent Vector-constrained Autoencoder for Time-series Anomaly Detection
Chunkai Zhang, Wei Zuo, Xuan Wang
Anomaly detection in time series has been widely researched and has important practical applications. In recent years, anomaly detection algorithms are mostly based on deep-learnin…
cs.LG2019★ 2 cited
An Improvement of PAA on Trend-Based Approximation for Time Series
Chunkai Zhang, Yingyang Chen, Ao Yin +4
Piecewise Aggregate Approximation (PAA) is a competitive basic dimension reduction method for high-dimensional time series mining. When deployed, however, the limitations are obvio…