Suchergebnisse - adversarial variational autoencoder*

A locational false data injection attack detection method in smart grid based on adversarial variational autoencoders von Wang, Yufeng, Zhou, Yangming, Ma, Jianhua, jin, Qun

“… To address the above issues, this paper proposes an effective locational FDIA detection framework based on data reconstruction, AT-GVAE, which seamlessly integrates the variational autoencoders (VAEs …”
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Coupled adversarial variational autoencoder von Hou, Yingzhen, Zhai, Junhai, Chen, Jiankai

“… To address this problem, we proposed a novel model which consists of two adversarial variational autoencoders, each one aim at generating an image of pairs more accurately …”
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A ^VGAE: An Attribute-Augmented Adversarial Variational Graph Autoencoder for Link Prediction von Pan, Zhihong, Zhong, Zhijie, Wei, Lingling, Lin, Yunxuan, Li, Weisheng, Lin, Ronghua, Tang, Yong

“… variational graph autoencoder (A<inline-formula><tex-math notation="LaTeX">{}^{3}</tex-math></inline-formula>VGAE), which can effectively solve the above two problems …”
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A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis von Lin, Eugene, Mukherjee, Sudipto, Kannan, Sreeram

“… -A (Dimensionality Reduction with Adversarial variational autoencoder), a data-driven approach to fulfill the task of dimensionality reduction …”
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adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection von Wang, Xuhong, Du, Ying, Lin, Shijie, Cui, Ping, Shen, Yuntian, Yang, Yupu

“… To solve the above two problems, we propose a self-adversarial variational autoencoder (adVAE) with a Gaussian anomaly prior assumption …”
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Interpretable data-augmented adversarial variational autoencoder with sequential attention for imbalanced fault diagnosis von Liu, Yunpeng, Jiang, Hongkai, Yao, Renhe, Zhu, Hongxuan

“… In this paper, an interpretable data-augmented adversarial variational autoencoder with sequential attention (AVAE-SQA …”
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Normative Modeling Via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease von Wang, Xuetong, Zhou, Rong, Zhao, Kanhao, Leow, Alex, Zhang, Yu, He, Lifang

“… In this study, we propose a novel normative modeling method by combining conditional variational autoencoder with adversarial learning (ACVAE …”
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Unsupervised domain adaptation with Joint Adversarial Variational AutoEncoder von Li, Yuze, Zhang, Yan, Yang, Chunling

“… In this paper, we propose a Joint Adversarial Variational AutoEncoder (JVA2E) for unsupervised domain adaptation tasks …”
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Fault Detection and Identification of Underwater Thruster Without Fault Sample Based on Adversarial Variational Autoencoder von Zhu, Daqi, Zeng, Tianhong

“… This article proposes a new underwater thruster fault detection and identification method based on adversarial variational autoencoder (AdvVAE …”
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Semi-Supervised Adversarial Variational Autoencoder von Zemouri, Ryad

“… We present a method to improve the reconstruction and generation performance of a variational autoencoder (VAE …”
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Self-adversarial variational autoencoder with spectral residual for time series anomaly detection von Liu, Yunxiao, Lin, Youfang, Xiao, QinFeng, Hu, Ganghui, Wang, Jing

“… the performance of detection methods. To this end, a novel unsupervised method, called Self-adversarial Variational Autoencoder with Spectral Residual (SaVAE-SR …”
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An LSTM-based adversarial variational autoencoder framework for self-supervised neural decoding of behavioral choices von Salsabilian, Shiva, Lee, Christian, Margolis, David, Najafizadeh, Laleh

“… To address subject variability in decoding neural activity, adversarial learning in combination with a long short-term memory-based adversarial variational autoencoder …”
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Deceptive reviewer group detection using self-adversarial variational autoencoder: a heterogeneous graph-based approach von Maurya, Sushil Kumar, Singh, Dinesh

“… With the rapid growth of online review platforms and e-commerce websites, user-posted reviews have become an essential factor influencing consumers' purchasing …”
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Infer-AVAE: An attribute inference model based on adversarial variational autoencoder von Zhou, Yadong, Ding, Zhihao, Liu, Xiaoming, Shen, Chao, Tong, Lingling, Guan, Xiaohong

“… Recently, variational autoencoder (VAE), an end-to-end deep generative model, has shown promising performance by handling the problem in a semi-supervised way …”
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AEGANAuth: Autoencoder GAN-Based Continuous Authentication With Conditional Variational Autoencoder Generative Adversarial Network von Li, Yantao, Ouyang, Caike, Huang, Hongyu

“… In this article, we present AEGANAuth, a lightweight and effective autoencoder GAN (AEGAN)-based continuous Authentication system for mobile devices using conditional variational autoencoder generative adversarial network (CVAEGAN …”
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Advancing Metaverse-Based Healthcare With Multimodal Neuroimaging Fusion Via Multi-Task Adversarial Variational Autoencoder for Brain Age Estimation von Usman, Muhammad, Rehman, Azka, Shahid, Abdullah, Rehman, Abd Ur, Gho, Sung-Min, Lee, Aleum, Khan, Tariq M., Razzak, Imran

“… To address these challenges, we present the Multitask Adversarial Variational Autoencoder (M-AVAE), a bespoke deep learning framework …”
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AD-VAE: Adversarial Disentangling Variational Autoencoder von Silva, Adson, Farias, Ricardo

“… To address these issues, we propose a novel framework called AD-VAE, specifically for SSPP FR, using a combination of variational autoencoder …”
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Adversarial variational autoencoder for attributed graph embedding with high-frequency noise filtering von Zhou, Hui, Liu, Xin, Li, Xiangju, Zhao, Zhongying, Li, Chao

“… ) in conjunction with a Laplacian smoothing filter. In particular, the AAGE employs a variational autoencoder (VAE …”
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CM-AVAE: Cross-Modal Adversarial Variational Autoencoder for Visual-to-Tactile Data Generation von Xi, Qiyuan, Wang, Fei, Tao, Liangze, Zhang, Hanjing, Jiang, Xun, Wu, Juan

“… Furthermore, this approach can be applied to robot-related tasks. This letter presents a cross-modal adversarial variational autoencoder (CM-AVAE …”
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Adversarial Variational Autoencoders to Extend and Improve Generative Model von Nguyen, Loc, Abdalla, Hassan I., Amer, Ali A.

“… with the support of statistical flexibility. Two popular approaches in DGM are the variational autoencoder (VAE …”
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