59 citations · 63 across the 2 of their papers we have counts for
2 papers
cs.LG2020★ 4 cited
RCC-Dual-GAN: An Efficient Approach for Outlier Detection with Few Identified Anomalies
Zhe Li, Chunhua Sun, Chunli Liu +3
Outlier detection is an important task in data mining and many technologies have been explored in various applications. However, due to the default assumption that outliers are non…
cs.LG2018★ 59 cited
Generative Adversarial Active Learning for Unsupervised Outlier Detection
Yezheng Liu, Zhe Li, Chong Zhou +4
Outlier detection is an important topic in machine learning and has been used in a wide range of applications. In this paper, we approach outlier detection as a binary-classificati…