A Frequency Domain Classifier of Steady-State Visual Evoked Potentials Using Deep Separable Convolutional Neural Networks

Mohamed Attia, Imali Hettiarachchi, Shady M. K. Mohamed, Mohammed Hossny, Saeid Nahavandi. A Frequency Domain Classifier of Steady-State Visual Evoked Potentials Using Deep Separable Convolutional Neural Networks. In IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Miyazaki, Japan, October 7-10, 2018. pages 2134-2139, IEEE, 2018. [doi]

@inproceedings{AttiaHMHN18,
  title = {A Frequency Domain Classifier of Steady-State Visual Evoked Potentials Using Deep Separable Convolutional Neural Networks},
  author = {Mohamed Attia and Imali Hettiarachchi and Shady M. K. Mohamed and Mohammed Hossny and Saeid Nahavandi},
  year = {2018},
  doi = {10.1109/SMC.2018.00367},
  url = {https://doi.org/10.1109/SMC.2018.00367},
  researchr = {https://researchr.org/publication/AttiaHMHN18},
  cites = {0},
  citedby = {0},
  pages = {2134-2139},
  booktitle = {IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Miyazaki, Japan, October 7-10, 2018},
  publisher = {IEEE},
  isbn = {978-1-5386-6650-0},
}