These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 38671995)

  • 21. 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]  

  • 22. 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]  

  • 23. EEG-Based Emotion Recognition by Convolutional Neural Network with Multi-Scale Kernels.
    Phan TD; Kim SH; Yang HJ; Lee GS
    Sensors (Basel); 2021 Jul; 21(15):. PubMed ID: 34372327
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Cross-subject EEG emotion recognition combined with connectivity features and meta-transfer learning.
    Li J; Hua H; Xu Z; Shu L; Xu X; Kuang F; Wu S
    Comput Biol Med; 2022 Jun; 145():105519. PubMed ID: 35585734
    [TBL] [Abstract][Full Text] [Related]  

  • 25. 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]  

  • 26. 3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition.
    Liu S; Wang X; Zhao L; Li B; Hu W; Yu J; Zhang YD
    IEEE J Biomed Health Inform; 2022 Nov; 26(11):5321-5331. PubMed ID: 34033551
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Multi-channel EEG emotion recognition through residual graph attention neural network.
    Chao H; Cao Y; Liu Y
    Front Neurosci; 2023; 17():1135850. PubMed ID: 37559702
    [TBL] [Abstract][Full Text] [Related]  

  • 28. EEG emotion recognition based on data-driven signal auto-segmentation and feature fusion.
    Gao Y; Zhu Z; Fang F; Zhang Y; Meng M
    J Affect Disord; 2024 Jun; 361():356-366. PubMed ID: 38885847
    [TBL] [Abstract][Full Text] [Related]  

  • 29. SECT: A Method of Shifted EEG Channel Transformer for Emotion Recognition.
    Bai Z; Hou F; Sun K; Wu Q; Zhu M; Mao Z; Song Y; Gao Q
    IEEE J Biomed Health Inform; 2023 Oct; 27(10):4758-4767. PubMed ID: 37540609
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Lemniscate of Bernoulli's map quantifiers: innovative measures for EEG emotion recognition.
    Goshvarpour A; Goshvarpour A
    Cogn Neurodyn; 2024 Jun; 18(3):1061-1077. PubMed ID: 38826652
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Electroencephalogram Emotion Recognition Based on 3D Feature Fusion and Convolutional Autoencoder.
    An Y; Hu S; Duan X; Zhao L; Xie C; Zhao Y
    Front Comput Neurosci; 2021; 15():743426. PubMed ID: 34733148
    [TBL] [Abstract][Full Text] [Related]  

  • 32. EEG emotion recognition based on cross-frequency granger causality feature extraction and fusion in the left and right hemispheres.
    Zhang J; Zhang X; Chen G; Huang L; Sun Y
    Front Neurosci; 2022; 16():974673. PubMed ID: 36161187
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Comprehensive Analysis of Feature Extraction Methods for Emotion Recognition from Multichannel EEG Recordings.
    Yuvaraj R; Thagavel P; Thomas J; Fogarty J; Ali F
    Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679710
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. 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]  

  • 37. A novel feature fusion network for multimodal emotion recognition from EEG and eye movement signals.
    Fu B; Gu C; Fu M; Xia Y; Liu Y
    Front Neurosci; 2023; 17():1234162. PubMed ID: 37600016
    [TBL] [Abstract][Full Text] [Related]  

  • 38. EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach.
    Asghar MA; Khan MJ; Fawad ; Amin Y; Rizwan M; Rahman M; Badnava S; Mirjavadi SS
    Sensors (Basel); 2019 Nov; 19(23):. PubMed ID: 31795095
    [TBL] [Abstract][Full Text] [Related]  

  • 39. EEG Emotion Recognition by Fusion of Multi-Scale Features.
    Du X; Meng Y; Qiu S; Lv Y; Liu Q
    Brain Sci; 2023 Sep; 13(9):. PubMed ID: 37759894
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Interpretable Cross-Subject EEG-Based Emotion Recognition Using Channel-Wise Features.
    Jin L; Kim EY
    Sensors (Basel); 2020 Nov; 20(23):. PubMed ID: 33255374
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.