Xception: Deep Learning with Depthwise Separable Convolutions
Brain-computer interfaces for control of neuroprostheses: from synchronous to asynchronous mode of operation.
Assessing the quality of steady-state visual-evoked potentials for moving humans using a mobile electroencephalogram headset
Unsupervised adaptive transfer learning for Steady-State Visual Evoked Potential brain-computer interfaces
A fully on-line adaptive BCI
An asynchronous wheelchair control by hybrid EEG–EOG brain–computer interface