Multiclass Brain–Computer Interface Classification by Riemannian Geometry, IEEE Transactions on Biomedical Engineering, vol.59, issue.4, pp.920-928, 2012. ,
DOI : 10.1109/TBME.2011.2172210
Classification of covariance matrices using a Riemannian-based kernel for BCI applications, Neurocomputing, vol.112, pp.172-178, 2013. ,
DOI : 10.1016/j.neucom.2012.12.039
URL : https://hal.archives-ouvertes.fr/hal-00820475
Positive definite matrices, 2009. ,
DOI : 10.1515/9781400827787
URL : https://hal.archives-ouvertes.fr/hal-01500514
The BCI Competition III: Validating Alternative Approaches to Actual BCI Problems, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.14, issue.2, pp.153-159, 2006. ,
DOI : 10.1109/TNSRE.2006.875642
Steady-State Visual Evoked Potentials Can Be Explained by Temporal Superposition of Transient Event-Related Responses, PLoS ONE, vol.203, issue.1, p.14543, 2011. ,
DOI : 10.1371/journal.pone.0014543.s003
Multicolumn deep neural networks for image classification, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp.3642-3649, 2012. ,
A new generation of brain-computer interface based on Riemannian geometry. arXiv preprint arXiv:1310, 2013. ,
URL : https://hal.archives-ouvertes.fr/hal-00879050
EEG data available for public download, 2015. ,
Rotation-invariant convolutional neural networks for galaxy morphology prediction, Monthly Notices of the Royal Astronomical Society, vol.450, issue.2, pp.1441-1459, 2015. ,
DOI : 10.1093/mnras/stv632
Principal Geodesic Analysis for the Study of Nonlinear Statistics of Shape, IEEE Transactions on Medical Imaging, vol.23, issue.8, pp.995-1005, 2004. ,
DOI : 10.1109/TMI.2004.831793
Introduction to statistical pattern recognition . Academic press, 1990. ,
Anisotropic noise injection for input variables relevance determination, IEEE Transactions on Neural Networks, vol.11, issue.6, pp.463-468, 2000. ,
DOI : 10.1109/72.883393
SSVEP enhancement based on Canonical Correlation Analysis to improve BCI performances, 2013 Africon, pp.1-5, 2013. ,
DOI : 10.1109/AFRCON.2013.6757776
URL : https://hal.archives-ouvertes.fr/hal-01352059
Hybrid interface: Integrating BCI in multimodal human-machine interfaces, 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, pp.530-535, 2014. ,
DOI : 10.1109/AIM.2014.6878132
URL : https://hal.archives-ouvertes.fr/hal-01352056
Using Riemannian geometry for SSVEP-based brain computer interface . arXiv preprint, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01351685
Imagenet classification with deep convolutional neural networks, Advances in Neural Information Processing Systems 25, pp.1097-1105, 2012. ,
Signal Processing Approaches to Minimize or Suppress Calibration Time in Oscillatory Activity-Based Brain–Computer Interfaces, Proceedings of the IEEE, vol.103, issue.6, pp.871-890, 2015. ,
DOI : 10.1109/JPROC.2015.2404941
EEG-based workload estimation across affective contexts, Frontiers in neuroscience, vol.8, 2014. ,
Designing optimal spatial filters for single-trial EEG classification in a movement task, Clinical Neurophysiology, vol.110, issue.5, pp.787-798, 1999. ,
DOI : 10.1016/S1388-2457(98)00038-8
A Riemannian Framework for Tensor Computing, International Journal of Computer Vision, vol.6, issue.2, pp.41-66, 2006. ,
DOI : 10.1007/s11263-005-3222-z
URL : https://hal.archives-ouvertes.fr/inria-00070743
Objective and subjective evaluation of online error correction during P300-based spelling Advances in Human-Computer Interaction, 2012. ,
xDAWN Algorithm to Enhance Evoked Potentials: Application to Brain–Computer Interface, IEEE Transactions on Biomedical Engineering, vol.56, issue.8, pp.562035-2043, 2009. ,
DOI : 10.1109/TBME.2009.2012869
A shrinkage approach to largescale covariance matrix estimation and implications for functional genomics. Statistical applications in genetics and molecular biology, 2005. ,
Best practices for convolutional neural networks applied to visual document analysis, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., pp.958-958, 2003. ,
DOI : 10.1109/ICDAR.2003.1227801
The Art of Data Augmentation, Journal of Computational and Graphical Statistics, vol.10, issue.1, 2001. ,
DOI : 10.1198/10618600152418584
Brain???computer interfaces for communication and control, Clinical Neurophysiology, vol.113, issue.6, pp.767-791, 2002. ,
DOI : 10.1016/S1388-2457(02)00057-3
A review of kernels on covariance matrices for BCI applications, 2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP), pp.1-6, 2013. ,
DOI : 10.1109/MLSP.2013.6661972
Supervised logeuclidean metric learning for symmetric positive definite matrices. arXiv preprint, 2015. ,