APA (7th ed.) Citation

Salsabilian, S., & Najafizadeh, L. (2022). Subject-invariant feature learning for mTBI identification using LSTM-based variational autoencoder with adversarial regularization. Frontiers in signal processing (Lausanne), 2, . https://doi.org/10.3389/frsip.2022.1019253

Chicago Style (17th ed.) Citation

Salsabilian, Shiva, and Laleh Najafizadeh. "Subject-invariant Feature Learning for MTBI Identification Using LSTM-based Variational Autoencoder with Adversarial Regularization." Frontiers in Signal Processing (Lausanne) 2 (2022). https://doi.org/10.3389/frsip.2022.1019253.

MLA (9th ed.) Citation

Salsabilian, Shiva, and Laleh Najafizadeh. "Subject-invariant Feature Learning for MTBI Identification Using LSTM-based Variational Autoencoder with Adversarial Regularization." Frontiers in Signal Processing (Lausanne), vol. 2, 2022, https://doi.org/10.3389/frsip.2022.1019253.