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20202026
most citedClassification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks

1 citations · 2 across the 4 of their papers we have counts for

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cs.NE2021

Interpretable Convolutional Neural Networks for Subject-Independent Motor Imagery Classification

Ji-Seon Bang, Seong-Whan Lee

Deep learning frameworks have become increasingly popular in brain computer interface (BCI) study thanks to their outstanding performance. However, in terms of the classification m…

cs.NE2021★ 1 cited

Motor Imagery Classification based on CNN-GRU Network with Spatio-Temporal Feature Representation

Ji-Seon Bang, Seong-Whan Lee

Recently, various deep neural networks have been applied to classify electroencephalogram (EEG) signal. EEG is a brain signal that can be acquired in a non-invasive way and has a h…