DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density Estimation

5 October 2022

Papers citing "DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density Estimation"

8 / 8 papers shown

Title
TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks Alexander Geiger Dongyu Liu Sarah Alnegheimish Alfredo Cuesta-Infante K. Veeramachaneni AI4TS 30 207 0 16 Sep 2020
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks M. A. Bashar R. Nayak GAN AI4TS 29 103 0 21 Aug 2020
Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art Mohammad Braei Sebastian Wagner AI4TS 14 194 0 01 Apr 2020
A Novel GAN-based Fault Diagnosis Approach for Imbalanced Industrial Time Series Wenqian Jiang Cheng Cheng Beitong Zhou Guijun Ma Ye Yuan AI4CE 31 128 0 01 Apr 2019
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks Dan Li Dacheng Chen Lei Shi Baihong Jin Jonathan Goh See-Kiong Ng 52 766 0 15 Jan 2019
Anomaly Generation using Generative Adversarial Networks in Host Based Intrusion Detection M. Salem S. Taheri Jiann-Shiun Yuan 22 41 0 11 Dec 2018
GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training S. Akçay Amir Atapour-Abarghouei T. Breckon GAN 51 1,377 0 17 May 2018
Pros and Cons of GAN Evaluation Measures Ali Borji ELM EGVM 50 874 0 09 Feb 2018