most citedRSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series

8 citations · 14 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2020★ 6 cited

Improving Robustness on Seasonality-Heavy Multivariate Time Series Anomaly Detection

Farzaneh Khoshnevisan, Zhewen Fan, Vitor R. Carvalho

Robust Anomaly Detection (AD) on time series data is a key component for monitoring many complex modern systems. These systems typically generate high-dimensional time series that…

cs.LG2019★ 8 cited

RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series

Farzaneh Khoshnevisan, Zhewen Fan

Robust anomaly detection is a requirement for monitoring complex modern systems with applications such as cyber-security, fraud prevention, and maintenance. These systems generate…