Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms

D. A. Aquino-Britez, Andrés Ortiz, Julio Ortega, Javier León, Marco A. Formoso, John Q. Gan, Juan José Escobar. Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms. Sensors, 21(6):2096, 2021. [doi]

@article{Aquino-BritezOO21,
  title = {Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms},
  author = {D. A. Aquino-Britez and Andrés Ortiz and Julio Ortega and Javier León and Marco A. Formoso and John Q. Gan and Juan José Escobar},
  year = {2021},
  doi = {10.3390/s21062096},
  url = {https://doi.org/10.3390/s21062096},
  researchr = {https://researchr.org/publication/Aquino-BritezOO21},
  cites = {0},
  citedby = {0},
  journal = {Sensors},
  volume = {21},
  number = {6},
  pages = {2096},
}