Convolutional Neural Networks with Reusable Full-Dimension-Long Layers for Feature Selection and Classification of Motor Imagery in EEG Signals

Mikhail Tokovarov. Convolutional Neural Networks with Reusable Full-Dimension-Long Layers for Feature Selection and Classification of Motor Imagery in EEG Signals. In Igor Farkas, Paolo Masulli, Stefan Wermter, editors, Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part I. Volume 12396 of Lecture Notes in Computer Science, pages 79-91, Springer, 2020. [doi]

@inproceedings{Tokovarov20,
  title = {Convolutional Neural Networks with Reusable Full-Dimension-Long Layers for Feature Selection and Classification of Motor Imagery in EEG Signals},
  author = {Mikhail Tokovarov},
  year = {2020},
  doi = {10.1007/978-3-030-61609-0_7},
  url = {https://doi.org/10.1007/978-3-030-61609-0_7},
  researchr = {https://researchr.org/publication/Tokovarov20},
  cites = {0},
  citedby = {0},
  pages = {79-91},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2020 - 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15-18, 2020, Proceedings, Part I},
  editor = {Igor Farkas and Paolo Masulli and Stefan Wermter},
  volume = {12396},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-61609-0},
}