A carregar...
Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms
Electroencephalography (EEG) signal classification is a challenging task due to the low signal-to-noise ratio and the usual presence of artifacts from different sources. Different classification techniques, which are usually based on a predefined set of features extracted from the EEG band power dis...
Na minha lista:
| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2021
|
| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8002580/ https://ncbi.nlm.nih.gov/pubmed/33802684 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21062096 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|