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Les interfaces cerveau-ordinateur. Conception et utilisation en réalité virtuelle.. Technique et Science Informatiques, 31 (3): 289-310 (2012)Exploring two novel features for EEG-based brain-computer interfaces: Multifractal cumulants and predictive complexity., , and . Neurocomputing, (2012)Averaging covariance matrices for EEG signal classification based on the CSP: An empirical study., , and . EUSIPCO, page 2721-2725. IEEE, (2015)Classifying EEG for brain computer interfaces using Gaussian processes., , , and . Pattern Recognit. Lett., 29 (3): 354-359 (2008)Modeling Complex EEG Data Distribution on the Riemannian Manifold Toward Outlier Detection and Multimodal Classification., , , , , , and . IEEE Trans. Biomed. Eng., 71 (2): 377-387 (February 2024)A physical learning companion for Mental-Imagery BCI User Training., , , , , and . Int. J. Hum. Comput. Stud., (2020)Towards measuring states of epistemic curiosity through electroencephalographic signals., , , , , , and . SMC, page 4006-4011. IEEE, (2020)A performance model of selection techniques for p300-based brain-computer interfaces., , , and . CHI, page 2205-2208. ACM, (2009)Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces., , and . BCI, page 1-6. IEEE, (2019)Guidelines to use Transfer Learning for Motor Imagery Detection: an experimental study., , , , and . NER, page 5-8. IEEE, (2021)