59 citations · 61 across the 2 of their papers we have counts for
2 papers
stat.ML2018★ 2 cited
Anomaly Detection via Graphical Lasso
Haitao Liu, Randy C. Paffenroth, Jian Zou +1
Anomalies and outliers are common in real-world data, and they can arise from many sources, such as sensor faults. Accordingly, anomaly detection is important both for analyzing th…
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…