by Caffarini, Joseph, Gjini, Klevest, Sevak, Brinda, Waleffe, Roger, Kalkach-Aparicio, Mariel, Boly, Melanie and Struck, Aaron F
Reference:
Engineering nonlinear epileptic biomarkers using deep learning and Benford’s law (Caffarini, Joseph, Gjini, Klevest, Sevak, Brinda, Waleffe, Roger, Kalkach-Aparicio, Mariel, Boly, Melanie and Struck, Aaron F), In Scientific reports, Nature Publishing Group UK Londonurl=https://doi.org/10.1038/s41598-022-09429-w, volume 12, 2022.
Bibtex Entry:
@article{caffarini2022engineering,
title={Engineering nonlinear epileptic biomarkers using deep learning and Benford’s law},
author={Caffarini, Joseph and Gjini, Klevest and Sevak, Brinda and Waleffe, Roger and Kalkach-Aparicio, Mariel and Boly, Melanie and Struck, Aaron F},
journal={Scientific reports},
volume={12},
number={1},
pages={5397},
year={2022},
publisher={Nature Publishing Group UK London}
url = {https://doi.org/10.1038/s41598-022-09429-w},
}