5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 5 cited
Data Augmentation by AutoEncoders for Unsupervised Anomaly Detection
Kasra Babaei, ZhiYuan Chen, Tomas Maul
This paper proposes an autoencoder (AE) that is used for improving the performance of once-class classifiers for the purpose of detecting anomalies. Traditional one-class classifie…
cs.LG2019
AEGR: A simple approach to gradient reversal in autoencoders for network anomaly detection
Kasra Babaei, Zhi Yuan Chen, Tomas Maul
Anomaly detection is referred to as a process in which the aim is to detect data points that follow a different pattern from the majority of data points. Anomaly detection methods…
cs.LG2019★ 3 cited
Detecting Point Outliers Using Prune-based Outlier Factor (PLOF)
Kasra Babaei, ZhiYuan Chen, Tomas Maul
Outlier detection (also known as anomaly detection or deviation detection) is a process of detecting data points in which their patterns deviate significantly from others. It is co…