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On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification.

H. Yang, S. Sakhavi, K. Ang, and C. Guan. EMBC, page 2620-2623. IEEE, (2015)

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Convolutional neural network-based transfer learning and knowledge distillation using multi-subject data in motor imagery BCI.S. Sakhavi, and C. Guan. NER, page 588-591. IEEE, (2017)On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification.H. Yang, S. Sakhavi, K. Ang, and C. Guan. EMBC, page 2620-2623. IEEE, (2015)Parallel convolutional-linear neural network for motor imagery classification.S. Sakhavi, C. Guan, and S. Yan. EUSIPCO, page 2736-2740. IEEE, (2015)Learning Temporal Information for Brain-Computer Interface Using Convolutional Neural Networks.S. Sakhavi, C. Guan, and S. Yan. IEEE Trans. Neural Netw. Learning Syst., 29 (11): 5619-5629 (2018)

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Disambiguation of "Sakhavi, Siavash"

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On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification.

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Disambiguation of "Sakhavi, Siavash"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification.

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On the use of convolutional neural networks and augmented CSP features for multi-class motor imagery of EEG signals classification.