Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination.
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A Fast, Efficient Domain Adaptation Technique for Cross-Domain Electroencephalography(EEG)-Based Emotion RecognitionA Novel Feature Optimization for Wearable Human-Computer Interfaces Using Surface Electromyography Sensors.Electroencephalography Based Fusion Two-Dimensional (2D)-Convolution Neural Networks (CNN) Model for Emotion Recognition System.Cross-Participant EEG-Based Assessment of Cognitive Workload Using Multi-Path Convolutional Recurrent Neural Networks.
P2860
Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination.
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article científic
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article scientifique
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articolo scientifico
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bilimsel makale
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scientific article published on 10 April 2017
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vědecký článek
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Cross-Subject EEG Feature Sele ...... Recursive Feature Elimination.
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Cross-Subject EEG Feature Sele ...... Recursive Feature Elimination.
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Cross-Subject EEG Feature Sele ...... Recursive Feature Elimination.
@en
Cross-Subject EEG Feature Sele ...... Recursive Feature Elimination.
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Cross-Subject EEG Feature Sele ...... Recursive Feature Elimination.
@en
Cross-Subject EEG Feature Sele ...... Recursive Feature Elimination.
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P2093
P2860
P356
P1476
Cross-Subject EEG Feature Sele ...... Recursive Feature Elimination.
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P2093
Jianhua Zhang
Yongxiong Wang
P2860
P356
10.3389/FNBOT.2017.00019
P577
2017-04-10T00:00:00Z