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Boosting performance in brain-machine interface by classifier-level fusion based on accumulative training models from multi-day data.

, , , , and . EMBC, page 1922-1925. IEEE, (2017)

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Stop state classification in intracortical brain-machine-interface., , , , and . EMBC, page 1926-1929. IEEE, (2017)Discriminative channel addition and reduction for filter bank common spatial pattern in motor imagery BCI., , , and . EMBC, page 1310-1313. IEEE, (2014)Cortical activation of passive hand movement using Haptic Knob: A preliminary multi-channel fNIRS study., , , and . EMBC, page 2097-2100. IEEE, (2014)On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification., , , and . EMBC, page 2620-2623. IEEE, (2015)Online semi-supervised learning with KL distance weighting for Motor Imagery-based BCI., , , and . EMBC, page 2732-2735. IEEE, (2012)Motor imagery BCI for upper limb stroke rehabilitation: An evaluation of the EEG recordings using coherence analysis., , , , , , , and . EMBC, page 261-264. IEEE, (2013)Feature consistency-based model adaptation in session-to-session classification: A study using motor imagery of swallow EEG signals., , , , , , and . EMBC, page 429-432. IEEE, (2013)Combining firing rate and spike-train synchrony features in the decoding of motor cortical activity., , , , and . EMBC, page 1091-1094. IEEE, (2015)Real coded GA-based SVM for motor imagery classification in a Brain-Computer Interface., , , and . ICCA, page 1355-1359. IEEE, (2011)Learning EEG-based Spectral-spatial Patterns for Attention Level Measurement., , , , , , and . ISCAS, page 1465-1468. IEEE, (2009)