GAN Ensemble for Anomaly DetectionXu HanXiaohui ChenLi-Ping LiuNational Conference on Artificial Intelligence
056 (2020-12-14) GAN Ensemble for Anomaly Detection https://arxiv.org/pdf/2012.07988.pdf 057 (2020-12-14) Robust One Shot Audio to Video Generation https://arxiv.org/pdf/2012.07842.pdf 058 (2020-11-29) Digital rock reconstruction with user-defined properties using conditional generative adv...
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An SDN controller-based framework for anomaly detection using a GAN ensemble algorithm Of recent, a handful of machine learning techniques have been proposed to handle the task of intrusion detection with algorithms taking charge; these algor... D Ezeh,J De Oliveir - 《Infocommunications Journal》...
其中,该工作有2个比较有意思的内容:AE-GAN和AdaBoost Ensemble Learning在异常检测中的应用。 1、AE-GAN 如图所示,AE-GAN就是自编码器和生成对抗网络的结合。整个训练大体分为2个阶段:首先,先将干净数据喂入Encoder+Generator+Discriminator,GAN训练后得到Generator,此时的Generator学习到的都是如何生成出干净的数据。
Improving statistical power of glaucoma clinical trials using an ensemble of cyclical generative adversarial networks. Med Image Anal. 2021;68:101906. PubMed Google Scholar Kim M, Kim S, Kim M, Bae HJ, Park JW, Kim N. Realistic high-resolution lateral cephalometric radiography generated by ...
Ensemble bagging approach for iot sensor based anomaly detection. In: Proceedings of Intelligent Computing in Control and Communication. Singapore: Springer, 2021. 647–665 49 Park D, Hoshi Y, Kemp C C. A multimodal anomaly detector for robot-assisted feeding using an LSTM-based variational auto...
17. A Generalized Active Learning Approach for Unsupervised Anomaly Detection 2018/5 New 18. A generative adversarial framework for positive-unlabeled classification 2017/11 GPU 19. A Generative Model for Volume Rendering 2017/10 Medical: Volume Rendering Applied Other ...
Dropout-GAN -Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators DRPAN -Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation DSH-GAN -Deep Semantic Hashing with Generative Adversarial Networks ...
Ensemble bagging approach for iot sensor based anomaly detection. In: Proceedings of Intelligent Computing in Control and Communication. Singapore: Springer, 2021. 647–665 49 Park D, Hoshi Y, Kemp C C. A multimodal anomaly detector for robot-assisted feeding using an LSTM-based variational auto...