Dynamical recursive feature elimination technique for neurophysiological signal-based emotion recognition

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Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination

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EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation

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Operator functional state classification using least-square support vector machine based recursive feature elimination technique

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Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness

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A comparison of univariate, vector, bilinear autoregressive, and band power features for brain–computer interfaces

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Emotion recognition based on physiological changes in music listening

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