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.
143 related articles for article (PubMed ID: 32916675)
1. Thinker invariance: enabling deep neural networks for BCI across more people. Kostas D; Rudzicz F J Neural Eng; 2020 Oct; 17(5):056008. PubMed ID: 32916675 [TBL] [Abstract][Full Text] [Related]
2. Transfer learning of an ensemble of DNNs for SSVEP BCI spellers without user-specific training. Berke Guney O; Ozkan H J Neural Eng; 2023 Jan; 20(1):. PubMed ID: 36535036 [No Abstract] [Full Text] [Related]
3. Multi-subject classification of Motor Imagery EEG signals using transfer learning in neural networks. Solorzano-Espindola CE; Zamora E; Sossa H Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():1006-1009. PubMed ID: 34891458 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. Dual model transfer learning to compensate for individual variability in brain-computer interface. Kim JS; Kim H; Chung CK; Kim JS Comput Methods Programs Biomed; 2024 Sep; 254():108294. PubMed ID: 38943984 [TBL] [Abstract][Full Text] [Related]
6. Instance Transfer Subject-Dependent Strategy for Motor Imagery Signal Classification Using Deep Convolutional Neural Networks. Zhang K; Xu G; Chen L; Tian P; Han C; Zhang S; Duan N Comput Math Methods Med; 2020; 2020():1683013. PubMed ID: 32908576 [TBL] [Abstract][Full Text] [Related]
7. Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals. Tayeb Z; Fedjaev J; Ghaboosi N; Richter C; Everding L; Qu X; Wu Y; Cheng G; Conradt J Sensors (Basel); 2019 Jan; 19(1):. PubMed ID: 30626132 [TBL] [Abstract][Full Text] [Related]
8. Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI. Fahimi F; Zhang Z; Goh WB; Lee TS; Ang KK; Guan C J Neural Eng; 2019 Apr; 16(2):026007. PubMed ID: 30524056 [TBL] [Abstract][Full Text] [Related]
9. EEG-Inception: A Novel Deep Convolutional Neural Network for Assistive ERP-Based Brain-Computer Interfaces. Santamaria-Vazquez E; Martinez-Cagigal V; Vaquerizo-Villar F; Hornero R IEEE Trans Neural Syst Rehabil Eng; 2020 Dec; 28(12):2773-2782. PubMed ID: 33378260 [TBL] [Abstract][Full Text] [Related]
10. Dual stream neural networks for brain signal classification. Kuang D; Michoski C J Neural Eng; 2021 Jan; 18(1):. PubMed ID: 33171450 [No Abstract] [Full Text] [Related]
11. Deep learning for electroencephalogram (EEG) classification tasks: a review. Craik A; He Y; Contreras-Vidal JL J Neural Eng; 2019 Jun; 16(3):031001. PubMed ID: 30808014 [TBL] [Abstract][Full Text] [Related]
12. An end-to-end CNN with attentional mechanism applied to raw EEG in a BCI classification task. Lashgari E; Ott J; Connelly A; Baldi P; Maoz U J Neural Eng; 2021 Aug; 18(4):. PubMed ID: 34352734 [No Abstract] [Full Text] [Related]
13. A Generalizable Brain-Computer Interface (BCI) Using Machine Learning for Feature Discovery. Nurse ES; Karoly PJ; Grayden DB; Freestone DR PLoS One; 2015; 10(6):e0131328. PubMed ID: 26114954 [TBL] [Abstract][Full Text] [Related]
14. Classification and Transfer Learning of EEG during a Kinesthetic Motor Imagery Task using Deep Convolutional Neural Networks. Craik A; Kilicarslan A; Contreras-Vidal JL Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():3046-3049. PubMed ID: 31946530 [TBL] [Abstract][Full Text] [Related]
15. 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]
16. Motor Imagery EEG Classification Using Capsule Networks. Ha KW; Jeong JW Sensors (Basel); 2019 Jun; 19(13):. PubMed ID: 31252557 [TBL] [Abstract][Full Text] [Related]
17. 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]
18. Evaluation of Hyperparameter Optimization in Machine and Deep Learning Methods for Decoding Imagined Speech EEG. Cooney C; Korik A; Folli R; Coyle D Sensors (Basel); 2020 Aug; 20(16):. PubMed ID: 32824559 [TBL] [Abstract][Full Text] [Related]
19. Deep learning for hybrid EEG-fNIRS brain-computer interface: application to motor imagery classification. Chiarelli AM; Croce P; Merla A; Zappasodi F J Neural Eng; 2018 Jun; 15(3):036028. PubMed ID: 29446352 [TBL] [Abstract][Full Text] [Related]
20. CutCat: An augmentation method for EEG classification. Al-Saegh A; Dawwd SA; Abdul-Jabbar JM Neural Netw; 2021 Sep; 141():433-443. PubMed ID: 34147756 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]