Search Results - "multi-modal variational autoencoder"

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  1. 1

    Multi-modal Variational Autoencoders for normative modelling across multiple imaging modalities by Ana Lawry Aguila, Chapman, James, Altmann, Andre

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 02.10.2023
    Published in arXiv.org (02.10.2023)
    “… Normative modelling has become a popular method for studying such cohorts where the 'normal' behaviour of a physiological system is modelled and can be used at subject level to detect deviations…”
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    Paper
  2. 2

    Multi-Modal Domain Adaptation Variational Auto-encoder for EEG-Based Emotion Recognition by Yixin Wang, Shuang Qiu, Dan Li, Changde Du, Bao-Liang Lu, Huiguang He

    ISSN: 2329-9266
    Published: Research Center for Brain-inspired Intelligence,National Laboratory of Pattern Recognition,Institute of Automation,Chinese Academy of Science,Beijing 100190 01.09.2022
    Published in 自动化学报(英文版) (01.09.2022)
    “… data.Our method builds a multi-modal variational autoencoder(MVAE)to project the data of multiple modalities into a common…”
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    Journal Article
  3. 3

    Multi-Modal Domain Adaptation Variational Autoencoder for EEG-Based Emotion Recognition by Wang, Yixin, Qiu, Shuang, Li, Dan, Du, Changde, Lu, Bao-Liang, He, Huiguang

    ISSN: 2329-9266, 2329-9274
    Published: Piscataway Chinese Association of Automation (CAA) 01.09.2022
    Published in IEEE/CAA journal of automatica sinica (01.09.2022)
    “… Our method builds a multi-modal variational autoencoder (MVAE) to project the data of multiple modalities into a common space…”
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    Journal Article
  4. 4

    Multimodal Variational Autoencoder for Low-cost Cardiac Hemodynamics Instability Detection by Mohammod N I Suvon, Tripathi, Prasun C, Fan, Wenrui, Zhou, Shuo, Liu, Xianyuan, Alabed, Samer, Osmani, Venet, Swift, Andrew J, Chen, Chen, Lu, Haiping

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 05.07.2024
    Published in arXiv.org (05.07.2024)
    “… In response to these limitations, we propose a novel multimodal variational autoencoder (\(\text{CardioVAE}_\text{X,G}\)) to integrate low-cost chest X-ray…”
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    Paper
  5. 5

    Modality Weighting in Multimodal Variational Autoencoders by Yegin, Melike Nur, Amasyali, Mehmet Fatih

    ISSN: 2770-7946
    Published: IEEE 07.09.2022
    “…Learning the same subject from different sources is known as multimodal learning in the machine learning literature…”
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    Conference Proceeding
  6. 6

    amVAE: Age-aware multimorbidity clustering using variational autoencoders by Holm, Nikolaj Normann, Le, Thao Minh, Frølich, Anne, Andersen, Ove, Juul-Larsen, Helle Gybel, Stockmarr, Anders, Venkatesh, Svetha

    ISSN: 0010-4825, 1879-0534, 1879-0534
    Published: United States Elsevier Ltd 01.03.2025
    Published in Computers in biology and medicine (01.03.2025)
    “…) introduce a novel two-step multimodal Variational Autoencoder-based approach for temporal disease-based clustering (i.e…”
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    Journal Article
  7. 7

    Benchmarking Multimodal Variational Autoencoders: CdSprites+ Dataset and Toolkit by Sejnova, Gabriela, Vavrecka, Michal, Stepanova, Karla, Taniguchi, Tadahiro

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 17.09.2024
    Published in arXiv.org (17.09.2024)
    “…Multimodal Variational Autoencoders (VAEs) have been the subject of intense research in the past years as they can integrate multiple modalities into a joint…”
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    Paper
  8. 8

    Chromatic fusion: generative multimodal neuroimaging data fusion provides multi-informed insights into schizophrenia by Geenjaar, Eloy P T, Lewis, Noah L, Fedorov, Alex, Wu, Lei, Ford, Judith M, Preda, Adrian, Plis, Sergey M, Calhoun, Vince D

    Published: United States 26.05.2023
    “… We test our framework on structural, functional, and diffusion modality pairs. In this framework, we use a multimodal variational autoencoder to learn separate latent subspaces…”
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    Journal Article
  9. 9

    Emergent communication of multimodal deep generative models based on Metropolis-Hastings naming game by Hoang, Nguyen Le, Taniguchi, Tadahiro, Hagiwara, Yoshinobu, Taniguchi, Akira

    ISSN: 2296-9144, 2296-9144
    Published: Switzerland Frontiers Media S.A 31.01.2024
    Published in Frontiers in robotics and AI (31.01.2024)
    “… The model proves that it can handle multimodal data, even in cases of missing modalities. Integrating the MH naming game with multimodal variational autoencoders (VAE…”
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    Journal Article