Improving brain computer interface performance by data augmentation with conditional Deep Convolutional Generative Adversarial Networks

19 June 2018

Papers citing "Improving brain computer interface performance by data augmentation with conditional Deep Convolutional Generative Adversarial Networks"

9 / 9 papers shown

Title
Covariance Density Neural Networks Om Roy Yashar Moshfeghi Keith Smith BDL 37 0 0 16 May 2025
Improving EEG Signal Classification Accuracy Using Wasserstein Generative Adversarial Networks Joshua Park Priyanshu Mahey Ore Adeniyi 16 2 0 05 Feb 2024
A privacy-preserving data storage and service framework based on deep learning and blockchain for construction workers' wearable IoT sensors Xiaoshan Zhou P-C. Liao 11 2 0 19 Nov 2022
Mixing Signals: Data Augmentation Approach for Deep Learning Based Modulation Recognition Xin-Shun Xu Zhuangzhi Chen Dongwei Xu Huaji Zhou Shanqing Yu Shilian Zheng Qi Xuan Xiaoniu Yang 44 13 0 05 Apr 2022
A Survey on Brain-Computer Interface and Related Applications K. Pai Rakhee Kallimani Sridhar Iyer B. Maheswari Rajashri Khanai Dattaprasad Torse 16 2 0 17 Mar 2022
On the use of generative deep neural networks to synthesize artificial multichannel EEG signals Ozan Özdenizci Deniz Erdogmus 19 5 0 16 Feb 2021
Common Spatial Generative Adversarial Networks based EEG Data Augmentation for Cross-Subject Brain-Computer Interface Yonghao Song Lie Yang Xueyu Jia Longhan Xie 19 17 0 08 Feb 2021
Towards Real-World BCI: CCSPNet, A Compact Subject-Independent Motor Imagery Framework Mahbod Nouri Faraz Moradi Hafez Ghaemi A. Nasrabadi 19 10 0 25 Dec 2020
Deep learning-based electroencephalography analysis: a systematic review Yannick Roy Hubert J. Banville Isabela Albuquerque Alexandre Gramfort T. Falk J. Faubert 25 936 0 16 Jan 2019