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    ICTR Enrichment Series: An Introduction to Generative Adversarial Networks with an Application to Denoising EEG

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    Author
    Oates, Tim
    Date
    2019-12-10
    Type
    Poster/Presentation
    Video
    
    Metadata
    Show full item record
    See at
    https://youtu.be/QbEiqRgDd_Q
    Description
    In this presentation, Dr. Tim Oates will introduce GAN architectures, describe how they are learned, and present a number of example applications, including generating "fake" people. Dr. Oates will also review some recent work done in his lab using GANs to denoise EEG data. Dr. Oates’ research focuses on artificial intelligence, machine learning, robotics, and natural language processing. He recently held a Post-doc position at the MIT Laboratory.
    Keyword
    denoising EEG
    generative adversarial networks (GAN)
    Independent component analysis (ICA)
    Electroencephalography
    Machine Learning
    Identifier to cite or link to this item
    http://hdl.handle.net/10713/13729
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    Institute for Clinical & Translational Research (ICTR)

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