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 *

178 related articles for article (PubMed ID: 31711330)

  • 1. Tangent Space Features-Based Transfer Learning Classification Model for Two-Class Motor Imagery Brain-Computer Interface.
    Gaur P; McCreadie K; Pachori RB; Wang H; Prasad G
    Int J Neural Syst; 2019 Dec; 29(10):1950025. PubMed ID: 31711330
    [TBL] [Abstract][Full Text] [Related]  

  • 2. CSP-TSM: Optimizing the performance of Riemannian tangent space mapping using common spatial pattern for MI-BCI.
    Kumar S; Mamun K; Sharma A
    Comput Biol Med; 2017 Dec; 91():231-242. PubMed ID: 29100117
    [TBL] [Abstract][Full Text] [Related]  

  • 3. EEG rhythm separation and time-frequency analysis of fast multivariate empirical mode decomposition for motor imagery BCI.
    Jiao Y; Zheng Q; Qiao D; Lang X; Xie L; Pan Y
    Biol Cybern; 2024 Apr; 118(1-2):21-37. PubMed ID: 38472417
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Weighted Transfer Learning for Improving Motor Imagery-Based Brain-Computer Interface.
    Azab AM; Mihaylova L; Ang KK; Arvaneh M
    IEEE Trans Neural Syst Rehabil Eng; 2019 Jul; 27(7):1352-1359. PubMed ID: 31217122
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Classification of motor imagery using multisource joint transfer learning.
    Wang F; Ping J; Xu Z; Bi J
    Rev Sci Instrum; 2021 Sep; 92(9):094106. PubMed ID: 34598502
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Efficient Classification of Motor Imagery Electroencephalography Signals Using Deep Learning Methods.
    Majidov I; Whangbo T
    Sensors (Basel); 2019 Apr; 19(7):. PubMed ID: 30978978
    [TBL] [Abstract][Full Text] [Related]  

  • 7. EEG classification across sessions and across subjects through transfer learning in motor imagery-based brain-machine interface system.
    Zheng M; Yang B; Xie Y
    Med Biol Eng Comput; 2020 Jul; 58(7):1515-1528. PubMed ID: 32394192
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A novel heterogeneous transfer learning method based on data stitching for the sequential coding brain computer interface.
    Zhan Q; Wang L; Ren L; Huang X
    Comput Biol Med; 2022 Dec; 151(Pt A):106220. PubMed ID: 36332422
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Bilinear Regularized Locality Preserving Learning on Riemannian Graph for Motor Imagery BCI.
    Xie X; Yu ZL; Gu Z; Zhang J; Cen L; Li Y
    IEEE Trans Neural Syst Rehabil Eng; 2018 Mar; 26(3):698-708. PubMed ID: 29522413
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Quantifying mode mixing and leakage in multivariate empirical mode decomposition and application in motor imagery-based brain-computer interface system.
    Zheng Y; Xu G
    Med Biol Eng Comput; 2019 Jun; 57(6):1297-1311. PubMed ID: 30737625
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Motor imagery EEG decoding using manifold embedded transfer learning.
    Cai Y; She Q; Ji J; Ma Y; Zhang J; Zhang Y
    J Neurosci Methods; 2022 Mar; 370():109489. PubMed ID: 35090904
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Tangent space alignment: Transfer learning for Brain-Computer Interface.
    Bleuzé A; Mattout J; Congedo M
    Front Hum Neurosci; 2022; 16():1049985. PubMed ID: 36530202
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Selective Cross-Subject Transfer Learning Based on Riemannian Tangent Space for Motor Imagery Brain-Computer Interface.
    Xu Y; Huang X; Lan Q
    Front Neurosci; 2021; 15():779231. PubMed ID: 34803600
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Multiband tangent space mapping and feature selection for classification of EEG during motor imagery.
    Islam MR; Tanaka T; Molla MKI
    J Neural Eng; 2018 Aug; 15(4):046021. PubMed ID: 29737970
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Transfer Learning: A Riemannian Geometry Framework With Applications to Brain-Computer Interfaces.
    Zanini P; Congedo M; Jutten C; Said S; Berthoumieu Y
    IEEE Trans Biomed Eng; 2018 May; 65(5):1107-1116. PubMed ID: 28841546
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network.
    Zhang K; Robinson N; Lee SW; Guan C
    Neural Netw; 2021 Apr; 136():1-10. PubMed ID: 33401114
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Sinusoidal Signal Assisted Multivariate Empirical Mode Decomposition for Brain-Computer Interfaces.
    Ge S; Shi YH; Wang RM; Lin P; Gao JF; Sun GP; Iramina K; Yang YK; Leng Y; Wang HX; Zheng WM
    IEEE J Biomed Health Inform; 2018 Sep; 22(5):1373-1384. PubMed ID: 29990114
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Dynamic time warping-based transfer learning for improving common spatial patterns in brain-computer interface.
    Azab AM; Ahmadi H; Mihaylova L; Arvaneh M
    J Neural Eng; 2020 Feb; 17(1):016061. PubMed ID: 31860902
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Classification of motor imagery BCI using multivariate empirical mode decomposition.
    Park C; Looney D; Naveed ur Rehman ; Ahrabian A; Mandic DP
    IEEE Trans Neural Syst Rehabil Eng; 2013 Jan; 21(1):10-22. PubMed ID: 23204288
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A New
    Wu F; Gong A; Li H; Zhao L; Zhang W; Fu Y
    Front Hum Neurosci; 2021; 15():595723. PubMed ID: 33762911
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 9.