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A CNN-based Approach for three-class classification of motor imagery EEG data including 'rest state' in hybrid multi-user BCI.

J. Zhang, C. Su, D. Zapala, L. Zhu, G. Cui, and W. Kong. BIBM, page 770-773. IEEE, (2019)

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Seunghyun Kong

Thay Kong

Xiangqing Kong

Deming Kong

Yuanbo Kong

Other publications of authors with the same name

Idle-State Detection in Multi-user Motor Imagery Brain Computer Interface with Cross-Brain CSP and Hyper-Brain-Network.L. Zhu, C. Su, G. Cui, C. Zhou, J. Zhang, and W. Kong. CW, page 225-230. IEEE, (2019)An Auto-Weighting Incremental Random Vector Functional Link Network for EEG-Based Driving Fatigue Detection.Y. Zhang, R. Guo, Y. Peng, W. Kong, F. Nie, and B. Lu. IEEE Trans. Instrum. Meas., (2022)Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining.Y. Peng, W. Kong, F. Qin, F. Nie, J. Fang, B. Lu, and A. Cichocki. IEEE Trans. Instrum. Meas., (2021)Robust output feedback controller for discrete-time nonlinear systems based on standard neural network model.J. Zhang, W. Kong, and S. Hu. IWACI, page 46-52. IEEE, (2010)Task-Independent EEG Identification via Low-Rank Matrix Decomposition.X. Kong, W. Kong, Q. Fan, Q. Zhao, and A. Cichocki. BIBM, page 412-419. IEEE Computer Society, (2018)A New Method for Brain Death Diagnosis Based on Phase Synchronization Analysis With EEG.J. Zhang, J. Cao, N. Zhang, W. Kong, J. Tang, and Y. Peng. BIBM, page 1135-1138. IEEE Computer Society, (2018)Deep Multimodal Multilinear Fusion with High-order Polynomial Pooling.M. Hou, J. Tang, J. Zhang, W. Kong, and Q. Zhao. NeurIPS, page 12113-12122. (2019)EEGNetT: EEG-based neural network for emotion recognition in real-world applications.Y. Zhu, K. Ozawa, and W. Kong. LifeTech, page 376-378. IEEE, (2021)Analysis of Functional Corticomuscular Coupling Based on Multiscale Transfer Spectral Entropy.X. Xi, J. Ding, J. Wang, Y. Zhao, T. Wang, W. Kong, and J. Li. IEEE J. Biomed. Health Informatics, 26 (10): 5085-5096 (2022)MMT: Multi-way Multi-modal Transformer for Multimodal Learning.J. Tang, K. Li, M. Hou, X. Jin, W. Kong, Y. Ding, and Q. Zhao. IJCAI, page 3458-3465. ijcai.org, (2022)

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Disambiguation of "Kong, Wanzeng"

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A CNN-based Approach for three-class classification of motor imagery EEG data including 'rest state' in hybrid multi-user BCI.

Please choose a person to relate this publication to

Seunghyun Kong

Thay Kong

Xiangqing Kong

Deming Kong

Yuanbo Kong

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kong, Wanzeng"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A CNN-based Approach for three-class classification of motor imagery EEG data including 'rest state' in hybrid multi-user BCI.

Please choose a person to relate this publication to

Seunghyun Kong

Thay Kong

Xiangqing Kong

Deming Kong

Yuanbo Kong

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

A CNN-based Approach for three-class classification of motor imagery EEG data including 'rest state' in hybrid multi-user BCI.