Mohamed Attia, Imali Hettiarachchi, Mohammed Hossny, Saeid Nahavandi. A time domain classification of steady-state visual evoked potentials using deep recurrent-convolutional neural networks. In 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018. pages 766-769, IEEE, 2018. [doi]
@inproceedings{AttiaHHN18,
title = {A time domain classification of steady-state visual evoked potentials using deep recurrent-convolutional neural networks},
author = {Mohamed Attia and Imali Hettiarachchi and Mohammed Hossny and Saeid Nahavandi},
year = {2018},
doi = {10.1109/ISBI.2018.8363685},
url = {https://doi.org/10.1109/ISBI.2018.8363685},
researchr = {https://researchr.org/publication/AttiaHHN18},
cites = {0},
citedby = {0},
pages = {766-769},
booktitle = {15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, DC, USA, April 4-7, 2018},
publisher = {IEEE},
isbn = {978-1-5386-3636-7},
}