Predicting mental imagery-based BCI performance from personality, cognitive profile and neurophysiological patterns, PloS one, vol.10, p.143962, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01177685
Peanut: Personalised emotional agent for neurotechnology user-training, 7th International BCI Conference, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01519480
Towards a spatial ability training to improve Mental Imagery based Brain-Computer Interface (MI-BCI) performance: A Pilot study, Proc. IEEE SMC, pp.3664-003669, 2016. ,
URL : https://hal.archives-ouvertes.fr/hal-01341042
Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society. Series B (Methodological), pp.267-288, 1996. ,