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Brain-Computer Interface Technologies in the Coming Decades.

, , , , and . Proc. IEEE, 100 (Centennial-Issue): 1585-1599 (2012)

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Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)., , , , and . IEEE Trans. Fuzzy Syst., 25 (6): 1522-1535 (2017)Agreement rate initialized maximum likelihood estimator for ensemble classifier aggregation and its application in brain-computer interface., , , , and . SMC, page 724-729. IEEE, (2016)Efficient Labeling of EEG Signal Artifacts Using Active Learning., , , and . SMC, page 3217-3222. IEEE, (2015)Classification of non-time-locked rapid serial visual presentation events for brain-computer interaction using deep learning., , , , , , , and . ChinaSIP, page 520-524. IEEE, (2014)Spectral meta-learner for regression (SMLR) model aggregation: Towards calibrationless brain-computer interface (BCI)., , , , and . SMC, page 743-749. IEEE, (2016)Reducing BCI calibration effort in RSVP tasks using online weighted adaptation regularization with source domain selection., , and . ACII, page 567-573. IEEE Computer Society, (2015)Confidence metrics improve human-autonomy integration., , , , and . HRI, page 240-241. ACM, (2014)A bag-of-words model for task-load prediction from EEG in complex environments., , , , , , , , and . ICASSP, page 1227-1231. IEEE, (2013)Brain-Computer Interface Technologies in the Coming Decades., , , , and . Proc. IEEE, 100 (Centennial-Issue): 1585-1599 (2012)Reducing Offline BCI Calibration Effort Using Weighted Adaptation Regularization with Source Domain Selection., , and . SMC, page 3209-3216. IEEE, (2015)