In-Nea Wang
Orcid: 0000-0002-5427-9129
According to our database1,
In-Nea Wang
authored at least 7 papers
between 2018 and 2024.
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Bibliography
2024
Negative-Sample-Free Contrastive Self-Supervised Learning for Electroencephalogram-Based Motor Imagery Classification.
IEEE Access, 2024
Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024
2021
Phase Transition in previous Motor Imagery affects Efficiency of Motor Imagery based Brain-computer Interface.
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021
2020
An Ensemble Deep Learning Approach for Sleep Stage Classification via Single-channel EEG and EOG.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2020
Comparative Analysis of NIRS-EEG Motor Imagery Data Using Features from Spatial, Spectral and Temporal Domain.
Proceedings of the 8th International Winter Conference on Brain-Computer Interface, 2020
2019
Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification.
Proceedings of the 7th International Winter Conference on Brain-Computer Interface, 2019
2018
Evaluation of outlier prevalence of density distribution in brain computed tomography: Comparison of kurtosis and quartile statistics.
Proceedings of the 6th International Conference on Brain-Computer Interface, 2018