A. F. Pérez-Zapata, Andrés Felipe Cardona-Escobar, Jorge Alberto Jaramillo-Garzón, Gloria M. Díaz. Deep Convolutional Neural Networks and Power Spectral Density Features for Motor Imagery Classification of EEG Signals. In Dylan D. Schmorrow, Cali M. Fidopiastis, editors, Augmented Cognition: Intelligent Technologies - 12th International Conference, AC 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part I. Volume 10915 of Lecture Notes in Computer Science, pages 158-169, Springer, 2018. [doi]
@inproceedings{Perez-ZapataCJD18,
title = {Deep Convolutional Neural Networks and Power Spectral Density Features for Motor Imagery Classification of EEG Signals},
author = {A. F. Pérez-Zapata and Andrés Felipe Cardona-Escobar and Jorge Alberto Jaramillo-Garzón and Gloria M. Díaz},
year = {2018},
doi = {10.1007/978-3-319-91470-1_14},
url = {https://doi.org/10.1007/978-3-319-91470-1_14},
researchr = {https://researchr.org/publication/Perez-ZapataCJD18},
cites = {0},
citedby = {0},
pages = {158-169},
booktitle = {Augmented Cognition: Intelligent Technologies - 12th International Conference, AC 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings, Part I},
editor = {Dylan D. Schmorrow and Cali M. Fidopiastis},
volume = {10915},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-319-91470-1},
}