Optimizing Layers Improves CNN Generalization and Transfer Learning for Imagined Speech Decoding from EEG-Reference-Cited by-同舟云学术

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Optimizing Layers Improves CNN Generalization and Transfer Learning for Imagined Speech Decoding from EEG

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)
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Author:

Cooney Ciaran,Folli Raffaella,Coyle Damien

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8906183/8913838/08914246.pdf?arnumber=8914246

Cited by 66 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. A computational intelligence-based approach for detecting drowsiness in sleep apnea patients using multimodal bio-signals;Intelligent Computing Techniques in Biomedical Imaging;2025

2. Exploring Inner Speech Recognition via Cross-Perception Approach in EEG and fMRI;Applied Sciences;2024-09-01

3. Decoding imagined speech with delay differential analysis;Frontiers in Human Neuroscience;2024-05-17

4. Classification of imagined speech of vowels from EEG signals using multi-headed CNNs feature fusion network;Digital Signal Processing;2024-05

5. Decoding kinematic information from beta-band motor rhythms of speech motor cortex: a methodological/analytic approach using concurrent speech movement tracking and magnetoencephalography;Frontiers in Human Neuroscience;2024-04-05

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