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 *

172 related articles for article (PubMed ID: 37030724)

  • 1. Brain-Machine Coupled Learning Method for Facial Emotion Recognition.
    Liu D; Dai W; Zhang H; Jin X; Cao J; Kong W
    IEEE Trans Pattern Anal Mach Intell; 2023 Sep; 45(9):10703-10717. PubMed ID: 37030724
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine to brain: facial expression recognition using brain machine generative adversarial networks.
    Liu D; Cui J; Pan Z; Zhang H; Cao J; Kong W
    Cogn Neurodyn; 2024 Jun; 18(3):863-875. PubMed ID: 38826642
    [TBL] [Abstract][Full Text] [Related]  

  • 3. EEG-based emotion charting for Parkinson's disease patients using Convolutional Recurrent Neural Networks and cross dataset learning.
    Dar MN; Akram MU; Yuvaraj R; Gul Khawaja S; Murugappan M
    Comput Biol Med; 2022 May; 144():105327. PubMed ID: 35303579
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Emotion recognition from single-channel EEG signals using a two-stage correlation and instantaneous frequency-based filtering method.
    Taran S; Bajaj V
    Comput Methods Programs Biomed; 2019 May; 173():157-165. PubMed ID: 31046991
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The Extensive Usage of the Facial Image Threshing Machine for Facial Emotion Recognition Performance.
    Kim JH; Poulose A; Han DS
    Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33809352
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An EEG Database and Its Initial Benchmark Emotion Classification Performance.
    Seal A; Reddy PPN; Chaithanya P; Meghana A; Jahnavi K; Krejcar O; Hudak R
    Comput Math Methods Med; 2020; 2020():8303465. PubMed ID: 32831902
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. 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]  

  • 9. 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]  

  • 10. 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]  

  • 11. A Domain Generative Graph Network for EEG-Based Emotion Recognition.
    Gu Y; Zhong X; Qu C; Liu C; Chen B
    IEEE J Biomed Health Inform; 2023 May; 27(5):2377-2386. PubMed ID: 37022448
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Data augmentation for enhancing EEG-based emotion recognition with deep generative models.
    Luo Y; Zhu LZ; Wan ZY; Lu BL
    J Neural Eng; 2020 Oct; 17(5):056021. PubMed ID: 33052888
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An Efficient Graph Learning System for Emotion Recognition Inspired by the Cognitive Prior Graph of EEG Brain Network.
    Li C; Tang T; Pan Y; Yang L; Zhang S; Chen Z; Li P; Gao D; Chen H; Li F; Yao D; Cao Z; Xu P
    IEEE Trans Neural Netw Learn Syst; 2024 Jun; PP():. PubMed ID: 38837920
    [TBL] [Abstract][Full Text] [Related]  

  • 14. FetchEEG: a hybrid approach combining feature extraction and temporal-channel joint attention for EEG-based emotion classification.
    Liang Y; Zhang C; An S; Wang Z; Shi K; Peng T; Ma Y; Xie X; He J; Zheng K
    J Neural Eng; 2024 May; 21(3):. PubMed ID: 38701773
    [No Abstract]   [Full Text] [Related]  

  • 15. Emotion recognition using spatial-temporal EEG features through convolutional graph attention network.
    Li Z; Zhang G; Wang L; Wei J; Dang J
    J Neural Eng; 2023 Feb; 20(1):. PubMed ID: 36720164
    [No Abstract]   [Full Text] [Related]  

  • 16. Cross-subject emotion recognition using visibility graph and genetic algorithm-based convolution neural network.
    Cai Q; An JP; Li HY; Guo JY; Gao ZK
    Chaos; 2022 Sep; 32(9):093110. PubMed ID: 36182360
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 18. DAGAM: a domain adversarial graph attention model for subject-independent EEG-based emotion recognition.
    Xu T; Dang W; Wang J; Zhou Y
    J Neural Eng; 2023 Jan; 20(1):. PubMed ID: 36548989
    [No Abstract]   [Full Text] [Related]  

  • 19. Detecting emotions through EEG signals based on modified convolutional fuzzy neural network.
    Ahmadzadeh Nobari Azar N; Cavus N; Esmaili P; Sekeroglu B; Aşır S
    Sci Rep; 2024 May; 14(1):10371. PubMed ID: 38710806
    [TBL] [Abstract][Full Text] [Related]  

  • 20. ResNet-50 based technique for EEG image characterization due to varying environmental stimuli.
    Tian T; Wang L; Luo M; Sun Y; Liu X
    Comput Methods Programs Biomed; 2022 Oct; 225():107092. PubMed ID: 36058062
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.