Active semi-supervised transfer learning (ASTL) for offline BCI calibration-Reference-Cited by-同舟云学术

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Active semi-supervised transfer learning (ASTL) for offline BCI calibration

Published:2017-10 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Wu Dongrui

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8114675/8122565/08122610.pdf?arnumber=8122610

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Semi-supervised Multi-Source Transfer Learning for Motor Imagery Recognition;International Journal of Pattern Recognition and Artificial Intelligence;2022-11

2. Inconsistency-Based Multi-Task Cooperative Learning for Emotion Recognition;IEEE Transactions on Affective Computing;2022-10-01

3. Physiological computing for occupational health and safety in construction: Review, challenges and implications for future research;Advanced Engineering Informatics;2022-10

4. Fully connected network samples transfer and multi-classifier fusion for motor imagery recognition;Neural Computing and Applications;2022-09-03

5. Transfer Learning in Motor Imagery Brain Computer Interface: A Review;Journal of Shanghai Jiaotong University (Science);2022-08-19

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