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Subject-invariant feature learning for mTBI identification using LSTM-based variational autoencoder with adversarial regularization

Overview of attention for article published in Frontiers in Signal Processing, November 2022
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Title
Subject-invariant feature learning for mTBI identification using LSTM-based variational autoencoder with adversarial regularization
Published in
Frontiers in Signal Processing, November 2022
DOI 10.3389/frsip.2022.1019253
Authors

Shiva Salsabilian, Laleh Najafizadeh

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Unknown 2 67%
Readers by discipline Count As %
Physics and Astronomy 1 33%
Unknown 2 67%