Výsledky vyhledávání - "variational autoencoder generative adversarial network"

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  1. 1

    Dual-Encoder VAE-GAN With Spatiotemporal Features for Emotional EEG Data Augmentation Autor Tian, Chenxi, Ma, Yuliang, Cammon, Jared, Fang, Feng, Zhang, Yingchun, Meng, Ming

    ISSN: 1534-4320, 1558-0210, 1558-0210
    Vydáno: United States IEEE 2023
    “… To tackle this problem, a dual encoder variational autoencoder-generative adversarial network (DEVAE-GAN…”
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    Journal Article
  2. 2

    Residual-Enhanced VAE-GAN for EEG Data Augmentation in Motor Imagery Classification Autor Tang, Haiyuan, Zhao, Wenshan

    ISSN: 2575-8284
    Vydáno: IEEE 16.07.2025
    “… generalization, this paper proposes an EEG data augmentation method, termed Residual-Enhanced Variational Autoencoder-Generative Adversarial Network (REVG…”
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    Konferenční příspěvek
  3. 3

    Nonparametric Quickest Change Detection for High Dimensional Sequetial Data Autor Wang, Jingtao

    ISBN: 1658421981, 9781658421980
    Vydáno: ProQuest Dissertations & Theses 01.01.2020
    “… that occurs in the system, and the goal is to detect the change as quickly as possible subject to a false alarm…”
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    Dissertation
  4. 4

    Generative artificial intelligence: synthetic datasets in dentistry Autor Umer, Fahad, Adnan, Niha

    ISSN: 2056-807X, 2056-807X
    Vydáno: London Nature Publishing Group UK 01.03.2024
    Vydáno v BDJ open (01.03.2024)
    “… The main hindrance in the progress of AI is access to diverse datasets which train DL models ensuring optimal performance, comparable to subject experts…”
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    Journal Article
  5. 5

    Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review Autor Kebaili, Aghiles, Lapuyade-Lahorgue, Jérôme, Ruan, Su

    ISSN: 2313-433X, 2313-433X
    Vydáno: Switzerland MDPI AG 01.04.2023
    Vydáno v Journal of imaging (01.04.2023)
    “…: variational autoencoders, generative adversarial networks, and diffusion…”
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    Journal Article
  6. 6

    Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review Autor Aghiles Kebaili, Lapuyade-Lahorgue, Jérôme, Ruan, Su

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 24.07.2023
    Vydáno v arXiv.org (24.07.2023)
    “…: variational autoencoders, generative adversarial networks, and diffusion…”
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    Paper