199 related articles for article (PubMed ID: 36299440)
1. Supervised and Semisupervised Manifold Embedded Knowledge Transfer in Motor Imagery-Based BCI.
Xu Y; Yin H; Yi W; Huang X; Jian W; Wang C; Hu R
Comput Intell Neurosci; 2022; 2022():1603104. PubMed ID: 36299440
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces.
Zhang W; Wu D
IEEE Trans Neural Syst Rehabil Eng; 2020 May; 28(5):1117-1127. PubMed ID: 32286993
[TBL] [Abstract][Full Text] [Related]
4. 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]
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. Improved Transductive Support Vector Machine for a Small Labelled Set in Motor Imagery-Based Brain-Computer Interface.
Xu Y; Hua J; Zhang H; Hu R; Huang X; Liu J; Guo F
Comput Intell Neurosci; 2019; 2019():2087132. PubMed ID: 31885530
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. MI-DABAN: A dual-attention-based adversarial network for motor imagery classification.
Li H; Zhang D; Xie J
Comput Biol Med; 2023 Jan; 152():106420. PubMed ID: 36529022
[TBL] [Abstract][Full Text] [Related]
9. Enhancing transfer performance across datasets for brain-computer interfaces using a combination of alignment strategies and adaptive batch normalization.
Xu L; Xu M; Ma Z; Wang K; Jung TP; Ming D
J Neural Eng; 2021 Aug; 18(4):. PubMed ID: 34407522
[No Abstract] [Full Text] [Related]
10. Three-stage transfer learning for motor imagery EEG recognition.
Li J; She Q; Meng M; Du S; Zhang Y
Med Biol Eng Comput; 2024 Jun; 62(6):1689-1701. PubMed ID: 38342784
[TBL] [Abstract][Full Text] [Related]
11. Transfer learning with data alignment and optimal transport for EEG based motor imagery classification.
Chu C; Zhu L; Huang A; Xu P; Ying N; Zhang J
J Neural Eng; 2024 Jan; 21(1):. PubMed ID: 38232381
[No Abstract] [Full Text] [Related]
12. Decoding Multi-Class Motor Imagery and Motor Execution Tasks Using Riemannian Geometry Algorithms on Large EEG Datasets.
Shuqfa Z; Belkacem AN; Lakas A
Sensors (Basel); 2023 May; 23(11):. PubMed ID: 37299779
[TBL] [Abstract][Full Text] [Related]
13. Subject adaptation convolutional neural network for EEG-based motor imagery classification.
Liu S; Zhang J; Wang A; Wu H; Zhao Q; Long J
J Neural Eng; 2022 Nov; 19(6):. PubMed ID: 36270467
[No Abstract] [Full Text] [Related]
14. 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]
15. A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder.
Ayoobi N; Sadeghian EB
Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():218-221. PubMed ID: 36086482
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Domain Adaptive Algorithm Based on Multi-Manifold Embedded Distributed Alignment for Brain-Computer Interfaces.
Gao Y; Liu Y; She Q; Zhang J
IEEE J Biomed Health Inform; 2023 Jan; 27(1):296-307. PubMed ID: 36315544
[TBL] [Abstract][Full Text] [Related]
18. Semi-supervised multi-source transfer learning for cross-subject EEG motor imagery classification.
Zhang F; Wu H; Guo Y
Med Biol Eng Comput; 2024 Jun; 62(6):1655-1672. PubMed ID: 38324109
[TBL] [Abstract][Full Text] [Related]
19. Transferring a deep learning model from healthy subjects to stroke patients in a motor imagery brain-computer interface.
Nagarajan A; Robinson N; Ang KK; Chua KSG; Chew E; Guan C
J Neural Eng; 2024 Jan; 21(1):. PubMed ID: 38091617
[No Abstract] [Full Text] [Related]
20. Deep Neural Network with Joint Distribution Matching for Cross-Subject Motor Imagery Brain-Computer Interfaces.
Zhao X; Zhao J; Liu C; Cai W
Biomed Res Int; 2020; 2020():7285057. PubMed ID: 32185216
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]