Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI
Despite the effective application of deep learning (DL) in brain-computer interface (BCI) systems, the successful execution of this technique, especially for inter-subject classification, in cognitive BCI has not been accomplished yet. In this paper, we propose a framework based on the deep convolut...
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Main Authors: | Fahimi, Fatemeh, Zhang, Zhuo, Goh, Wooi Boon, Lee, Tih-Shi, Ang, Kai Keng, Guan, Cuntai |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/144956 |
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Institution: | Nanyang Technological University |
Language: | English |
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