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Deep Convolutional Neural Network Applied to Electroencephalography: Raw
  Data vs Spectral Features

Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features

11 May 2021
Dung Truong
M. Milham
S. Makeig
Arnaud Delorme
ArXivPDFHTML

Papers citing "Deep Convolutional Neural Network Applied to Electroencephalography: Raw Data vs Spectral Features"

3 / 3 papers shown
Title
On the Role of Activation Functions in EEG-To-Text Decoder
On the Role of Activation Functions in EEG-To-Text Decoder
Zenon Lamprou
Iakovos Tenedios
Yashar Moshfeghi
25
1
0
16 Oct 2024
Deep learning applied to EEG data with different montages using spatial
  attention
Deep learning applied to EEG data with different montages using spatial attention
Dung Truong
Muhammad Abdullah Khalid
Arnaud Delorme
21
2
0
16 Oct 2023
Assessing learned features of Deep Learning applied to EEG
Assessing learned features of Deep Learning applied to EEG
Dung Truong
S. Makeig
Arnaud Delorme
16
2
0
08 Nov 2021
1