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Adaptive learning with covariate shift-detection for motor imagery-based brain-computer interface.

H. Raza, H. Cecotti, Y. Li, and G. Prasad. Soft Comput., 20 (8): 3085-3096 (2016)

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EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments.H. Raza, G. Prasad, and Y. Li. Pattern Recognition, 48 (3): 659-669 (2015)Directed neural connectivity changes in robot-assisted gait training: A partial Granger causality analysis.V. Youssofzadeh, D. Zanotto, P. Stegall, M. Naeem, K. Wong-Lin, S. Agrawal, and G. Prasad. EMBC, page 6361-6364. IEEE, (2014)Learning to modulate sensorimotor rhythms with stereo auditory feedback for a brain-computer interface.K. McCreadie, D. Coyle, and G. Prasad. EMBC, page 6711-6714. IEEE, (2012)A self-organising fuzzy neural network with locally recurrent self-adaptive synapses.D. Coyle, G. Prasad, and T. McGinnity. EAIS, page 1-8. IEEE, (2011)EMOHEX: An eye tracker based mobility and hand exoskeleton device for assisting disabled people.Y. Meena, A. Chowdhury, H. Cecotti, K. Wong-Lin, S. Nishad, A. Dutta, and G. Prasad. SMC, page 2122-2127. IEEE, (2016)Individual Identification Using Gait Sequences under Different Covariate Factors.Y. Pratheepan, J. Condell, and G. Prasad. ICVS, volume 5815 of Lecture Notes in Computer Science, page 84-93. Springer, (2009)Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface.H. Raza, D. Rathee, S. Zhou, H. Cecotti, and G. Prasad. CoRR, (2018)Hand-Exoskeleton Assisted Progressive Neurorehabilitation Using Impedance Adaptation Based Challenge Level Adjustment Method.A. Chowdhury, S. Nishad, Y. Meena, A. Dutta, and G. Prasad. IEEE Trans. Haptics, 12 (2): 128-140 (2019)Quantum Neural Network-Based EEG Filtering for a Brain-Computer Interface.V. Gandhi, G. Prasad, D. Coyle, L. Behera, and T. McGinnity. IEEE Trans. Neural Netw. Learning Syst., 25 (2): 278-288 (2014)Self-paced brain-controlled wheelchair methodology with shared and automated assistive control.A. Satti, D. Coyle, and G. Prasad. CCMB, page 120-127. IEEE, (2011)

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Adaptive learning with covariate shift-detection for motor imagery-based brain-computer interface.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Adaptive learning with covariate shift-detection for motor imagery-based brain-computer interface.

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Adaptive learning with covariate shift-detection for motor imagery-based brain-computer interface.