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.
115 related articles for article (PubMed ID: 39292591)
1. Lightweight Source-Free Domain Adaptation based on Adaptive Euclidean Alignment for Brain-Computer Interfaces. Wang H; Han H; Gan JQ; Wang H IEEE J Biomed Health Inform; 2024 Sep; PP():. PubMed ID: 39292591 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Privacy-Preserving Domain Adaptation for Motor Imagery-Based Brain-Computer Interfaces. Xia K; Deng L; Duch W; Wu D IEEE Trans Biomed Eng; 2022 Nov; 69(11):3365-3376. PubMed ID: 35439124 [TBL] [Abstract][Full Text] [Related]
5. MI-CAT: A transformer-based domain adaptation network for motor imagery classification. Zhang D; Li H; Xie J Neural Netw; 2023 Aug; 165():451-462. PubMed ID: 37336030 [TBL] [Abstract][Full Text] [Related]
6. Transfer Learning for Brain-Computer Interfaces: A Euclidean Space Data Alignment Approach. He H; Wu D IEEE Trans Biomed Eng; 2020 Feb; 67(2):399-410. PubMed ID: 31034407 [TBL] [Abstract][Full Text] [Related]
7. Motor Imagery EEG Classification Based on a Weighted Multi-Branch Structure Suitable for Multisubject Data. Wang H; Jiang J; Gan JQ; Wang H IEEE Trans Biomed Eng; 2023 Nov; 70(11):3040-3051. PubMed ID: 37186527 [TBL] [Abstract][Full Text] [Related]
8. Classification of motor imagery electroencephalogram signals by using adaptive cross-subject transfer learning. Feng J; Li Y; Jiang C; Liu Y; Li M; Hu Q Front Hum Neurosci; 2022; 16():1068165. PubMed ID: 36618992 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. TFTL: A Task-Free Transfer Learning Strategy for EEG-based Cross-Subject & Cross-Dataset Motor Imagery BCI. Wang Y; Wang J; Wang W; Su J; Bunterngchit C; Hou ZG IEEE Trans Biomed Eng; 2024 Oct; PP():. PubMed ID: 39365711 [TBL] [Abstract][Full Text] [Related]
11. Alignment-Based Adversarial Training (ABAT) for Improving the Robustness and Accuracy of EEG-Based BCIs. Chen X; Wang Z; Wu D IEEE Trans Neural Syst Rehabil Eng; 2024; 32():1703-1714. PubMed ID: 38648154 [TBL] [Abstract][Full Text] [Related]
12. Conditional Adversarial Domain Adaptation Neural Network for Motor Imagery EEG Decoding. Tang X; Zhang X Entropy (Basel); 2020 Jan; 22(1):. PubMed ID: 33285871 [TBL] [Abstract][Full Text] [Related]
13. Enhancing Cross-Subject Motor Imagery Classification in EEG-Based Brain-Computer Interfaces by Using Multi-Branch CNN. Chowdhury RR; Muhammad Y; Adeel U Sensors (Basel); 2023 Sep; 23(18):. PubMed ID: 37765965 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. A shallow mirror transformer for subject-independent motor imagery BCI. Luo J; Wang Y; Xia S; Lu N; Ren X; Shi Z; Hei X Comput Biol Med; 2023 Sep; 164():107254. PubMed ID: 37499295 [TBL] [Abstract][Full Text] [Related]
16. Multi-source deep domain adaptation ensemble framework for cross-dataset motor imagery EEG transfer learning. Miao M; Yang Z; Sheng Z; Xu B; Zhang W; Cheng X Physiol Meas; 2024 Jun; 45(5):. PubMed ID: 38772402 [No Abstract] [Full Text] [Related]
17. Double Stage Transfer Learning for Brain-Computer Interfaces. Gao Y; Li M; Peng Y; Fang F; Zhang Y IEEE Trans Neural Syst Rehabil Eng; 2023 Feb; PP():. PubMed ID: 37022367 [TBL] [Abstract][Full Text] [Related]
18. Dual selections based knowledge transfer learning for cross-subject motor imagery EEG classification. Luo TJ Front Neurosci; 2023; 17():1274320. PubMed ID: 38089972 [TBL] [Abstract][Full Text] [Related]
19. A deep domain adaptation framework with correlation alignment for EEG-based motor imagery classification. Zhong XC; Wang Q; Liu D; Liao JX; Yang R; Duan S; Ding G; Sun J Comput Biol Med; 2023 Sep; 163():107235. PubMed ID: 37442010 [TBL] [Abstract][Full Text] [Related]
20. A dual alignment-based multi-source domain adaptation framework for motor imagery EEG classification. Xu DQ; Li MA Appl Intell (Dordr); 2023; 53(9):10766-10788. PubMed ID: 36039116 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]