APA

Arora A., Lin J., Gasperian A., Maldjian J., Stein J., Kahana M. & Lega B. (20191115). Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings. : Journal of neural engineering.

Chicago

Arora Akshay, Lin Jui-Jui, Gasperian Alec, Maldjian Joseph, Stein Joel, Kahana Michael and Lega Bradley. 20191115. Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings. : Journal of neural engineering.

Harvard

Arora A., Lin J., Gasperian A., Maldjian J., Stein J., Kahana M. and Lega B. (20191115). Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings. : Journal of neural engineering.

MLA

Arora Akshay, Lin Jui-Jui, Gasperian Alec, Maldjian Joseph, Stein Joel, Kahana Michael and Lega Bradley. Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings. : Journal of neural engineering. 20191115.