375 related articles for article (PubMed ID: 33524961)
1. Cluster decomposing and multi-objective optimization based-ensemble learning framework for motor imagery-based brain-computer interfaces.
Zuo C; Jin J; Xu R; Wu L; Liu C; Miao Y; Wang X
J Neural Eng; 2021 Mar; 18(2):. PubMed ID: 33524961
[No Abstract] [Full Text] [Related]
2. Motor imagery EEG classification based on ensemble support vector learning.
Luo J; Gao X; Zhu X; Wang B; Lu N; Wang J
Comput Methods Programs Biomed; 2020 Sep; 193():105464. PubMed ID: 32283387
[TBL] [Abstract][Full Text] [Related]
3. Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI.
Zhang Y; Nam CS; Zhou G; Jin J; Wang X; Cichocki A
IEEE Trans Cybern; 2019 Sep; 49(9):3322-3332. PubMed ID: 29994667
[TBL] [Abstract][Full Text] [Related]
4. Ensemble classifier based on optimized extreme learning machine for motor imagery classification.
Zhang L; Wen D; Li C; Zhu R
J Neural Eng; 2020 Mar; 17(2):026004. PubMed ID: 32015227
[TBL] [Abstract][Full Text] [Related]
5. [Motor imagery electroencephalogram classification based on sparse spatiotemporal decomposition and channel attention].
Li H; Yin F; Zhang R; Ma X; Chen H
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Jun; 39(3):488-497. PubMed ID: 35788518
[TBL] [Abstract][Full Text] [Related]
6. Filter bank sinc-convolutional network with channel self-attention for high performance motor imagery decoding.
Chen J; Wang D; Yi W; Xu M; Tan X
J Neural Eng; 2023 Mar; 20(2):. PubMed ID: 36763992
[No Abstract] [Full Text] [Related]
7. Adaptive binary multi-objective harmony search algorithm for channel selection and cross-subject generalization in motor imagery-based BCI.
Shi B; Yue Z; Yin S; Wang W; Yu H; Huang Z; Wang J
J Neural Eng; 2022 Jul; 19(4):. PubMed ID: 35772393
[No Abstract] [Full Text] [Related]
8. A flexible analytic wavelet transform based approach for motor-imagery tasks classification in BCI applications.
Chaudhary S; Taran S; Bajaj V; Siuly S
Comput Methods Programs Biomed; 2020 Apr; 187():105325. PubMed ID: 31964514
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Multilayer network-based channel selection for motor imagery brain-computer interface.
Yan S; Hu Y; Zhang R; Qi D; Hu Y; Yao D; Shi L; Zhang L
J Neural Eng; 2024 Feb; 21(1):. PubMed ID: 38295419
[No Abstract] [Full Text] [Related]
11. Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface.
Raza H; Rathee D; Zhou SM; Cecotti H; Prasad G
Neurocomputing (Amst); 2019 May; 343():154-166. PubMed ID: 32226230
[TBL] [Abstract][Full Text] [Related]
12. Self-supervised contrastive learning for EEG-based cross-subject motor imagery recognition.
Li W; Li H; Sun X; Kang H; An S; Wang G; Gao Z
J Neural Eng; 2024 Apr; 21(2):. PubMed ID: 38565100
[No Abstract] [Full Text] [Related]
13. 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]
14. Classification of motor imagery EEG using deep learning increases performance in inefficient BCI users.
Tibrewal N; Leeuwis N; Alimardani M
PLoS One; 2022; 17(7):e0268880. PubMed ID: 35867703
[TBL] [Abstract][Full Text] [Related]
15. Improving the performance of multisubject motor imagery-based BCIs using twin cascaded softmax CNNs.
Luo J; Shi W; Lu N; Wang J; Chen H; Wang Y; Lu X; Wang X; Hei X
J Neural Eng; 2021 Mar; 18(3):. PubMed ID: 33540387
[No Abstract] [Full Text] [Related]
16. Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification.
Zhang Y; Wang Y; Jin J; Wang X
Int J Neural Syst; 2017 Mar; 27(2):1650032. PubMed ID: 27377661
[TBL] [Abstract][Full Text] [Related]
17. Ensemble Regularized Common Spatio-Spectral Pattern (ensemble RCSSP) model for motor imagery-based EEG signal classification.
Norizadeh Cherloo M; Kashefi Amiri H; Daliri MR
Comput Biol Med; 2021 Aug; 135():104546. PubMed ID: 34144268
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. CluSem: Accurate clustering-based ensemble method to predict motor imagery tasks from multi-channel EEG data.
Miah MO; Muhammod R; Mamun KAA; Farid DM; Kumar S; Sharma A; Dehzangi A
J Neurosci Methods; 2021 Dec; 364():109373. PubMed ID: 34606773
[TBL] [Abstract][Full Text] [Related]
20. A spatial-frequency-temporal optimized feature sparse representation-based classification method for motor imagery EEG pattern recognition.
Miao M; Wang A; Liu F
Med Biol Eng Comput; 2017 Sep; 55(9):1589-1603. PubMed ID: 28161876
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
