Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

Adversarial Networks ◽

Unsupervised Anomaly Detection ◽

Marker Discovery

Unsupervised anomaly detection for underwater gliders using generative adversarial networks

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2021.104379 ◽

2021 ◽

Vol 104 ◽

pp. 104379

Author(s):

Peng Wu ◽

Catherine A. Harris ◽

Georgios Salavasidis ◽

Alvaro Lorenzo-Lopez ◽

Izzat Kamarudzaman ◽

...

Keyword(s):

Anomaly Detection ◽

Underwater Gliders ◽

Adversarial Networks ◽

Unsupervised anomaly detection using generative adversarial networks in 1H-MRS of the brain

Journal of Magnetic Resonance ◽

10.1016/j.jmr.2021.106936 ◽

2021 ◽

Vol 325 ◽

pp. 106936

Author(s):

Joon Jang ◽

Hyeong Hun Lee ◽

Ji-Ae Park ◽

Hyeonjin Kim

Keyword(s):

Anomaly Detection ◽

1H Mrs ◽

Adversarial Networks ◽

Unsupervised Anomaly Detection ◽

The Brain

Proceedings of the 18th International Conference on Information Processing in Sensor Networks - IPSN '19 ◽

Unsupervised anomaly detection via generative adversarial networks

10.1145/3302506.3312605 ◽

2019 ◽

Cited By ~ 2

Author(s):

Hanling Wang ◽

Mingyang Li ◽

Fei Ma ◽

Shao-Lun Huang ◽

Lin Zhang

Keyword(s):

Anomaly Detection ◽

Adversarial Networks ◽

f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks

Medical Image Analysis ◽

10.1016/j.media.2019.01.010 ◽

2019 ◽

Vol 54 ◽

pp. 30-44 ◽

Cited By ~ 73

Author(s):

Thomas Schlegl ◽

Philipp Seeböck ◽

Sebastian M. Waldstein ◽

Georg Langs ◽

Ursula Schmidt-Erfurth

Keyword(s):

Anomaly Detection ◽

Adversarial Networks ◽

Lecture Notes in Computer Science - Responsible Design, Implementation and Use of Information and Communication Technology ◽

Unsupervised Anomaly Detection of Healthcare Providers Using Generative Adversarial Networks

10.1007/978-3-030-44999-5_35 ◽

2020 ◽

pp. 419-430

Author(s):

Krishnan Naidoo ◽

Vukosi Marivate

Keyword(s):

Anomaly Detection ◽

Healthcare Providers ◽

Adversarial Networks ◽

Telemetry Data-based Spacecraft Anomaly Detection with Spatial-Temporal Generative Adversarial Networks

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2021.3073442 ◽

2021 ◽

pp. 1-1

Author(s):

Jinsong Yu ◽

Yue Song ◽

Diyin Tang ◽

Danyang Han ◽

Jing Dai

Keyword(s):

Anomaly Detection ◽

Telemetry Data ◽

2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA) ◽

Dual-encoder Bidirectional Generative Adversarial Networks for Anomaly Detection

10.1109/icmla51294.2020.00114 ◽

2020 ◽

Author(s):

Teguh Budianto ◽

Tomohiro Nakai ◽

Kazunori Imoto ◽

Takahiro Takimoto ◽

Kosuke Haruki

Keyword(s):

Anomaly Detection ◽

Proceedings of the 2020 2nd International Conference on Management Science and Industrial Engineering ◽

Data Augmentation Using Generative Adversarial Networks for Electrical Insulator Anomaly Detection

10.1145/3396743.3396790 ◽

2020 ◽

Author(s):

Lei Luo ◽

William Hsu ◽

Shangxian Wang

Keyword(s):

Anomaly Detection ◽

Data Augmentation ◽

Electrical Insulator ◽

Anomaly detection using Autoencoders and Deep Convolution Generative Adversarial Networks

Transportation Research Procedia ◽

10.1016/j.trpro.2021.07.113 ◽

2021 ◽

Vol 55 ◽

pp. 1296-1303

Author(s):

Jaroslav Kopčan ◽

Ondrej Škvarek ◽

Martin Klimo

Keyword(s):

Anomaly Detection ◽

Usefulness of Background Removal for Video Anomaly Detection Using Generative Adversarial Networks

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) ◽

10.1299/jsmermd.2021.2p2-h11 ◽

2021 ◽

Vol 2021 (0) ◽

pp. 2P2-H11

Author(s):

Kentaro TSUKAGOSHI ◽

Satoshi HASHIMOTO ◽

Kazunori UMEDA

Keyword(s):

Anomaly Detection ◽

Adversarial Networks ◽

Background Removal