Suchergebnisse - "Adversarial variational autoencoder"

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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An Adversarial Variational Autoencoder Approach Toward Transfer Learning for mTBI Identification von Salsabilian, Shiva, Najafizadeh, Laleh

“… To address this issue, we propose an adversarial variational autoencoder model as a novel regularization approach to extract subject-invariant representations for transfer learning in mTBI identification …”
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Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders von Ozdenizci, Ozan, Wang, Ye, Koike-Akino, Toshiaki, Erdogmus, Deniz

“… ). The proposed approach aims to learn subject-invariant representations by simultaneously training a conditional variational autoencoder (cVAE …”
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Understanding and mitigating the impact of race with adversarial autoencoders von Sarullo, Kathryn, Swamidass, S. Joshua

“… The confounding effects of race on machine learning is an ongoing subject of research. This study aims to mitigate the impact of race on data-derived models, using an adversarial variational autoencoder (AVAE …”
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Subject-invariant feature learning for mTBI identification using LSTM-based variational autoencoder with adversarial regularization von Salsabilian, Shiva, Najafizadeh, Laleh

“… in difficulties for the mTBI-identification models to generalize to data from unseen subjects. To tackle this problem, we present a long short-term memory-based adversarial variational autoencoder (LSTM-AVAE …”
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Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders von Ozdenizci, Ozan, Wang, Ye, Koike-Akino, Toshiaki, Erdogmus, Deniz

“… ). The proposed approach aims to learn subject-invariant representations by simultaneously training a conditional variational autoencoder (cVAE …”
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Advanced Computational Analysis of Neuroimaging Data for Brain Injury Identification and Decoding Behavior von Salsabilian, Shiva

“… Understanding how the brain functions have been one of the major goals of neuroscience. To approach this challenging topic, artificial intelligence (AI) and …”
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