most citedAMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2019★ 2 cited

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data

Zheng Gao, Lin Guo, Chi Ma +6

Anomaly detection is facing with emerging challenges in many important industry domains, such as cyber security and online recommendation and advertising. The recent trend in these…