233 related articles for article (PubMed ID: 32960770)
1. Low-Dimensional Subject Representation-Based Transfer Learning in EEG Decoding.
Jeng PY; Wei CS; Jung TP; Wang LC
IEEE J Biomed Health Inform; 2021 Jun; 25(6):1915-1925. PubMed ID: 32960770
[TBL] [Abstract][Full Text] [Related]
2. Transfer learning with large-scale data in brain-computer interfaces.
Chun-Shu Wei ; Yuan-Pin Lin ; Yu-Te Wang ; Chin-Teng Lin ; Tzyy-Ping Jung
Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():4666-4669. PubMed ID: 28269314
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. A subject-transfer framework for obviating inter- and intra-subject variability in EEG-based drowsiness detection.
Wei CS; Lin YP; Wang YT; Lin CT; Jung TP
Neuroimage; 2018 Jul; 174():407-419. PubMed ID: 29578026
[TBL] [Abstract][Full Text] [Related]
5. Application of Transfer Learning in EEG Decoding Based on Brain-Computer Interfaces: A Review.
Zhang K; Xu G; Zheng X; Li H; Zhang S; Yu Y; Liang R
Sensors (Basel); 2020 Nov; 20(21):. PubMed ID: 33167561
[TBL] [Abstract][Full Text] [Related]
6. Decoding movement kinematics from EEG using an interpretable convolutional neural network.
Borra D; Mondini V; Magosso E; Müller-Putz GR
Comput Biol Med; 2023 Oct; 165():107323. PubMed ID: 37619325
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. A review of classification algorithms for EEG-based brain-computer interfaces: a 10 year update.
Lotte F; Bougrain L; Cichocki A; Clerc M; Congedo M; Rakotomamonjy A; Yger F
J Neural Eng; 2018 Jun; 15(3):031005. PubMed ID: 29488902
[TBL] [Abstract][Full Text] [Related]
9. Mutual Information-Driven Subject-Invariant and Class-Relevant Deep Representation Learning in BCI.
Jeon E; Ko W; Yoon JS; Suk HI
IEEE Trans Neural Netw Learn Syst; 2023 Feb; 34(2):739-749. PubMed ID: 34357871
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. A probabilistic approach for calibration time reduction in hybrid EEG-fTCD brain-computer interfaces.
Khalaf A; Akcakaya M
Biomed Eng Online; 2020 Apr; 19(1):23. PubMed ID: 32299441
[TBL] [Abstract][Full Text] [Related]
13. Machine-learning-based coadaptive calibration for brain-computer interfaces.
Vidaurre C; Sannelli C; Müller KR; Blankertz B
Neural Comput; 2011 Mar; 23(3):791-816. PubMed ID: 21162666
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller.
Kindermans PJ; Tangermann M; Müller KR; Schrauwen B
J Neural Eng; 2014 Jun; 11(3):035005. PubMed ID: 24834896
[TBL] [Abstract][Full Text] [Related]
16. Boosting template-based SSVEP decoding by cross-domain transfer learning.
Chiang KJ; Wei CS; Nakanishi M; Jung TP
J Neural Eng; 2021 Feb; 18(1):. PubMed ID: 33203813
[No 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. Learning joint space-time-frequency features for EEG decoding on small labeled data.
Zhao D; Tang F; Si B; Feng X
Neural Netw; 2019 Jun; 114():67-77. PubMed ID: 30897519
[TBL] [Abstract][Full Text] [Related]
19. Learning Invariant Patterns Based on a Convolutional Neural Network and Big Electroencephalography Data for Subject-Independent P300 Brain-Computer Interfaces.
Gao W; Yu T; Yu JG; Gu Z; Li K; Huang Y; Yu ZL; Li Y
IEEE Trans Neural Syst Rehabil Eng; 2021; 29():1047-1057. PubMed ID: 34033543
[TBL] [Abstract][Full Text] [Related]
20. MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification.
Autthasan P; Chaisaen R; Sudhawiyangkul T; Rangpong P; Kiatthaveephong S; Dilokthanakul N; Bhakdisongkhram G; Phan H; Guan C; Wilaiprasitporn T
IEEE Trans Biomed Eng; 2022 Jun; 69(6):2105-2118. PubMed ID: 34932469
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]