Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification

Javier León, Juan José Escobar, Jesús González 0001, Julio Ortega, Francisco Manuel Arrabal-Campos, Andrés Ortiz, Miguel Damas. Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification. In Ignacio Rojas, Daniel Castillo-Secilla, Luis Javier Herrera, Héctor Pomares, editors, Bioengineering and Biomedical Signal and Image Processing - First International Conference, BIOMESIP 2021, Meloneras, Gran Canaria, Spain, July 19-21, 2021, Proceedings. Volume 12940 of Lecture Notes in Computer Science, pages 297-310, Springer, 2021. [doi]

@inproceedings{LeonEGOAOD21,
  title = {Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification},
  author = {Javier León and Juan José Escobar and Jesús González 0001 and Julio Ortega and Francisco Manuel Arrabal-Campos and Andrés Ortiz and Miguel Damas},
  year = {2021},
  doi = {10.1007/978-3-030-88163-4_26},
  url = {https://doi.org/10.1007/978-3-030-88163-4_26},
  researchr = {https://researchr.org/publication/LeonEGOAOD21},
  cites = {0},
  citedby = {0},
  pages = {297-310},
  booktitle = {Bioengineering and Biomedical Signal and Image Processing - First International Conference, BIOMESIP 2021, Meloneras, Gran Canaria, Spain, July 19-21, 2021, Proceedings},
  editor = {Ignacio Rojas and Daniel Castillo-Secilla and Luis Javier Herrera and Héctor Pomares},
  volume = {12940},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-88163-4},
}