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Multi-Kernel Temporal and Spatial Convolution for EEG-Based Emotion Classification

Deep learning using an end-to-end convolutional neural network (ConvNet) has been applied to several electroencephalography (EEG)-based brain–computer interface tasks to extract feature maps and classify the target output. However, the EEG analysis remains challenging since it requires consideration...

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Detalles Bibliográficos
Autores principales:	Emsawas, Taweesak, Morita, Takashi, Kimura, Tsukasa, Fukui, Ken-ichi, Numao, Masayuki
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654218/ https://www.ncbi.nlm.nih.gov/pubmed/36365948 http://dx.doi.org/10.3390/s22218250

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