"When does it work ?" : An exploratory analysis of Transfer Learning for BCI
暂无分享,去创建一个
Christian Jutten | Marco Congedo | Pedro Luiz Coelho Rodrigues | C. Jutten | M. Congedo | P. Rodrigues
[1] Alexandre Barachant,et al. Riemannian geometry for EEG-based brain-computer interfaces; a primer and a review , 2017 .
[2] M Congedo,et al. A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update , 2018, Journal of neural engineering.
[3] Koby Crammer,et al. A theory of learning from different domains , 2010, Machine Learning.
[4] Innar Liiv,et al. Seriation and matrix reordering methods: An historical overview , 2010, Stat. Anal. Data Min..
[5] Maureen Clerc,et al. Optimal transport Applied to Transfer Learning for P300 Detection , 2017, GBCIC.
[6] Christian Jutten,et al. Riemannian Procrustes Analysis: Transfer Learning for Brain–Computer Interfaces , 2019, IEEE Transactions on Biomedical Engineering.
[7] R. Bhatia. Positive Definite Matrices , 2007 .
[8] Bernhard Schölkopf,et al. A Kernel Two-Sample Test , 2012, J. Mach. Learn. Res..
[9] Christian Jutten,et al. Multiclass Brain–Computer Interface Classification by Riemannian Geometry , 2012, IEEE Transactions on Biomedical Engineering.
[10] Sung Chan Jun,et al. EEG datasets for motor imagery brain–computer interface , 2017, GigaScience.