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Journal Abstract Search

371 related items for PubMed ID: 35098819

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  • 3. Emotion recognition with convolutional neural network and EEG-based EFDMs.
    Wang F, Wu S, Zhang W, Xu Z, Zhang Y, Wu C, Coleman S.
    Neuropsychologia; 2020 Sep; 146():107506. PubMed ID: 32497532
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  • 8. Spatial-frequency-temporal convolutional recurrent network for olfactory-enhanced EEG emotion recognition.
    Xing M, Hu S, Wei B, Lv Z.
    J Neurosci Methods; 2022 Jul 01; 376():109624. PubMed ID: 35588948
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  • 9. An Investigation of Deep Learning Models for EEG-Based Emotion Recognition.
    Zhang Y, Chen J, Tan JH, Chen Y, Chen Y, Li D, Yang L, Su J, Huang X, Che W.
    Front Neurosci; 2020 Jul 01; 14():622759. PubMed ID: 33424547
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  • 14. Cross-subject emotion recognition in brain-computer interface based on frequency band attention graph convolutional adversarial neural networks.
    Chen S, Wang Y, Lin X, Sun X, Li W, Ma W.
    J Neurosci Methods; 2024 Nov 01; 411():110276. PubMed ID: 39237038
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  • 16. Fused CNN-LSTM deep learning emotion recognition model using electroencephalography signals.
    Ramzan M, Dawn S.
    Int J Neurosci; 2023 Jun 01; 133(6):587-597. PubMed ID: 34121598
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  • 17. EEG-Based Emotion Recognition by Convolutional Neural Network with Multi-Scale Kernels.
    Phan TD, Kim SH, Yang HJ, Lee GS.
    Sensors (Basel); 2021 Jul 27; 21(15):. PubMed ID: 34372327
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  • 19. Investigating EEG-based functional connectivity patterns for multimodal emotion recognition.
    Wu X, Zheng WL, Li Z, Lu BL.
    J Neural Eng; 2022 Jan 31; 19(1):. PubMed ID: 35094982
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  • 20. Attention-based 3D convolutional recurrent neural network model for multimodal emotion recognition.
    Du Y, Li P, Cheng L, Zhang X, Li M, Li F.
    Front Neurosci; 2023 Jan 31; 17():1330077. PubMed ID: 38268710
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