Search Results - "Contrastive variational autoencoder"

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  1. 1

    Uncovering neural substrates across Alzheimer's disease stages using contrastive variational autoencoder by Tang, Yan, Yang, Chao, Wang, Yuqi, Zhang, Yunhao, Xin, Jiang, Zhang, Hao, Xie, Hua

    ISSN: 1460-2199, 1460-2199
    Published: United States 03.10.2024
    Published in Cerebral cortex (New York, N.Y. 1991) (03.10.2024)
    “…Alzheimer's disease is the most common major neurocognitive disorder. Although currently, no cure exists, understanding the neurobiological substrate…”
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    Journal Article
  2. 2

    Autism Spectrum Disorder Classification with Interpretability in Children Based on Structural MRI Features Extracted Using Contrastive Variational Autoencoder by Ma, Ruimin, Xie, Ruitao, Wang, Yanlin, Meng, Jintao, Wei, Yanjie, Cai, Yunpeng, Xi, Wenhui, Pan, Yi

    ISSN: 2096-0654, 2097-406X
    Published: Beijing Tsinghua University Press 01.09.2024
    Published in Big Data Mining and Analytics (01.09.2024)
    “…Autism Spectrum Disorder (ASD) is a highly disabling mental disease that brings significant impairments of social interaction ability to the patients, making…”
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    Journal Article
  3. 3

    Attack detection model for BCoT based on contrastive variational autoencoder and metric learning by Wu, Chunwang, Liu, Xiaolei, Ding, Kangyi, Xin, Bangzhou, Lu, Jiazhong, Liu, Jiayong, Huang, Cheng

    ISSN: 2192-113X, 2192-113X
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2024
    “…With development of blockchain technology, clouding computing and Internet of Things (IoT), blockchain and cloud of things (BCoT) has become development…”
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  4. 4

    Disease-specific resting-state EEG network variations in schizophrenia revealed by the contrastive machine learning by Li, Fali, Wang, Guangying, Jiang, Lin, Yao, Dezhong, Xu, Peng, Ma, Xuntai, Dong, Debo, He, Baoming

    ISSN: 0361-9230, 1873-2747, 1873-2747
    Published: Elsevier Inc 01.10.2023
    Published in Brain research bulletin (01.10.2023)
    “…Given a multitude of genetic and environmental factors, when investigating the variability in schizophrenia (SCZ) and the first-degree relatives (R-SCZ),…”
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