BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

181 related articles for article (PubMed ID: 32982703)

  • 1. EEG-Based Emotion Classification Using a Deep Neural Network and Sparse Autoencoder.
    Liu J; Wu G; Luo Y; Qiu S; Yang S; Li W; Bi Y
    Front Syst Neurosci; 2020; 14():43. PubMed ID: 32982703
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep Sparse Autoencoder and Recursive Neural Network for EEG Emotion Recognition.
    Li Q; Liu Y; Shang Y; Zhang Q; Yan F
    Entropy (Basel); 2022 Aug; 24(9):. PubMed ID: 36141073
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Accelerating 3D Convolutional Neural Network with Channel Bottleneck Module for EEG-Based Emotion Recognition.
    Kim S; Kim TS; Lee WH
    Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146160
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Spatio-Temporal Representation of an Electoencephalogram for Emotion Recognition Using a Three-Dimensional Convolutional Neural Network.
    Cho J; Hwang H
    Sensors (Basel); 2020 Jun; 20(12):. PubMed ID: 32575708
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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; 14():622759. PubMed ID: 33424547
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals.
    Maheshwari D; Ghosh SK; Tripathy RK; Sharma M; Acharya UR
    Comput Biol Med; 2021 Jul; 134():104428. PubMed ID: 33984749
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The multiscale 3D convolutional network for emotion recognition based on electroencephalogram.
    Su Y; Zhang Z; Li X; Zhang B; Ma H
    Front Neurosci; 2022; 16():872311. PubMed ID: 36046470
    [TBL] [Abstract][Full Text] [Related]  

  • 8. DSE-Mixer: A pure multilayer perceptron network for emotion recognition from EEG feature maps.
    Lin K; Zhang L; Cai J; Sun J; Cui W; Liu G
    J Neurosci Methods; 2024 Jan; 401():110008. PubMed ID: 37967671
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Valence-arousal classification of emotion evoked by Chinese ancient-style music using 1D-CNN-BiLSTM model on EEG signals for college students.
    Du R; Zhu S; Ni H; Mao T; Li J; Wei R
    Multimed Tools Appl; 2023; 82(10):15439-15456. PubMed ID: 36213341
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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; 17():1330077. PubMed ID: 38268710
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Electroencephalogram Access for Emotion Recognition Based on a Deep Hybrid Network.
    Zhong Q; Zhu Y; Cai D; Xiao L; Zhang H
    Front Hum Neurosci; 2020; 14():589001. PubMed ID: 33390918
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Self-Supervised EEG Emotion Recognition Models Based on CNN.
    Wang X; Ma Y; Cammon J; Fang F; Gao Y; Zhang Y
    IEEE Trans Neural Syst Rehabil Eng; 2023; 31():1952-1962. PubMed ID: 37015115
    [TBL] [Abstract][Full Text] [Related]  

  • 13. EEG Classification of Motor Imagery Using a Novel Deep Learning Framework.
    Dai M; Zheng D; Na R; Wang S; Zhang S
    Sensors (Basel); 2019 Jan; 19(3):. PubMed ID: 30699946
    [TBL] [Abstract][Full Text] [Related]  

  • 14. M1M2: Deep-Learning-Based Real-Time Emotion Recognition from Neural Activity.
    Akter S; Prodhan RA; Pias TS; Eisenberg D; Fresneda Fernandez J
    Sensors (Basel); 2022 Nov; 22(21):. PubMed ID: 36366164
    [TBL] [Abstract][Full Text] [Related]  

  • 15. EEG-Based Emotion Recognition Using a 2D CNN with Different Kernels.
    Wang Y; Zhang L; Xia P; Wang P; Chen X; Du L; Fang Z; Du M
    Bioengineering (Basel); 2022 May; 9(6):. PubMed ID: 35735474
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An improved multi-input deep convolutional neural network for automatic emotion recognition.
    Chen P; Zou B; Belkacem AN; Lyu X; Zhao X; Yi W; Huang Z; Liang J; Chen C
    Front Neurosci; 2022; 16():965871. PubMed ID: 36267236
    [TBL] [Abstract][Full Text] [Related]  

  • 17. SAE+LSTM: A New Framework for Emotion Recognition From Multi-Channel EEG.
    Xing X; Li Z; Xu T; Shu L; Hu B; Xu X
    Front Neurorobot; 2019; 13():37. PubMed ID: 31244638
    [TBL] [Abstract][Full Text] [Related]  

  • 18. EESCN: A novel spiking neural network method for EEG-based emotion recognition.
    Xu F; Pan D; Zheng H; Ouyang Y; Jia Z; Zeng H
    Comput Methods Programs Biomed; 2024 Jan; 243():107927. PubMed ID: 38000320
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Investigating the Use of Pretrained Convolutional Neural Network on Cross-Subject and Cross-Dataset EEG Emotion Recognition.
    Cimtay Y; Ekmekcioglu E
    Sensors (Basel); 2020 Apr; 20(7):. PubMed ID: 32260445
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Investigating EEG-based functional connectivity patterns for multimodal emotion recognition.
    Wu X; Zheng WL; Li Z; Lu BL
    J Neural Eng; 2022 Jan; 19(1):. PubMed ID: 35094982
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 10.