Hirokazu Shimauchi

Improving Supervised Outlier Detection by Unsupervised Representation Learning and Generative Adversarial Networks

2021

In this paper, a semi-supervised outlier detection algorithm is presented. The proposed method is an extension of XGBOD (Extreme Gradient Boosting Outlier Detection) developed by Zhao and Hryniewicki and combines the benefits of both unsupervised …