受强制性开放获取政策约束的文章 - Guoqiang Hu了解详情
无法在其他位置公开访问的文章：3 篇
Semi-Supervised Mixture Learning for Graph Neural Networks With Neighbor Dependence
K Liu, H Liu, T Wang, G Hu, TE Ward, CLP Chen
IEEE Transactions on Neural Networks and Learning Systems, 2023
强制性开放获取政策： 国家自然科学基金委员会, Science Foundation Ireland
Frequency specific co-activation pattern analysis via sparse nonnegative tensor decomposition
G Hu, D Wang, S Luo, Y Hao, LD Nickerson, F Cong
Journal of Neuroscience Methods 362, 109299, 2021
强制性开放获取政策： US National Institutes of Health, 国家自然科学基金委员会
Altered temporoparietal junction activity during reflected self-evaluation in sub-clinical depression
Y Lou, S Chen, G Hu, P Astikainen, SCSA Otieno-Leppänen, Y Lei, ...
Cerebral Cortex 33 (12), 7553-7563, 2023
强制性开放获取政策： 国家自然科学基金委员会
可在其他位置公开访问的文章：10 篇
SingleChannelNet: A model for automatic sleep stage classification with raw single-channel EEG
D Zhou, J Wang, G Hu, J Zhang, F Li, R Yan, L Kettunen, Z Chang, Q Xu, ...
Biomedical Signal Processing and Control 75, 103592, 2022
强制性开放获取政策： 国家自然科学基金委员会
LightSleepNet: A lightweight deep model for rapid sleep stage classification with spectrograms
D Zhou, Q Xu, J Wang, J Zhang, G Hu, L Kettunen, Z Chang, F Cong
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
强制性开放获取政策： 国家自然科学基金委员会
Snowball ICA: a model order free independent component analysis strategy for functional magnetic resonance imaging data
G Hu, AB Waters, S Aslan, B Frederick, F Cong, LD Nickerson
Frontiers in neuroscience 14, 569657, 2020
强制性开放获取政策： US National Institutes of Health, 国家自然科学基金委员会
Tensor clustering on outer-product of coefficient and component matrices of independent component analysis for reliable functional magnetic resonance imaging data decomposition
G Hu, Q Zhang, AB Waters, H Li, C Zhang, J Wu, F Cong, LD Nickerson
Journal of Neuroscience Methods 325, 108359, 2019
强制性开放获取政策： US National Institutes of Health, 国家自然科学基金委员会
Examining stability of independent component analysis based on coefficient and component matrices for voxel-based morphometry of structural magnetic resonance imaging
Q Zhang, G Hu, L Tian, T Ristaniemi, H Wang, H Chen, J Wu, F Cong
Cognitive Neurodynamics 12, 461-470, 2018
强制性开放获取政策： 国家自然科学基金委员会
Consistency of independent component analysis for FMRI
W Zhao, H Li, G Hu, Y Hao, Q Zhang, J Wu, BB Frederick, F Cong
Journal of Neuroscience Methods 351, 109013, 2021
强制性开放获取政策： US National Institutes of Health, 国家自然科学基金委员会
Assessment of nonnegative matrix factorization algorithms for electroencephalography spectral analysis
G Hu, T Zhou, S Luo, R Mahini, J Xu, Y Chang, F Cong
BioMedical Engineering OnLine 19, 1-18, 2020
强制性开放获取政策： 国家自然科学基金委员会
Discovering hidden brain network responses to naturalistic stimuli via tensor component analysis of multi-subject fMRI data
G Hu, H Li, W Zhao, Y Hao, Z Bai, LD Nickerson, F Cong
NeuroImage 255, 119193, 2022
强制性开放获取政策： US National Institutes of Health, 国家自然科学基金委员会
Discovering hidden brain network responses to naturalistic stimuli via tensor component analysis of multi-subject fMRI data
G Hu, H Li, W Zhao, Y Hao, Z Bai, LD Nickerson, F Cong
bioRxiv, 2021.01. 14.426756, 2021
强制性开放获取政策： 国家自然科学基金委员会
An efficient functional magnetic resonance imaging data reduction strategy using neighborhood preserving embedding algorithm
W Zhao, H Li, Y Hao, G Hu, Y Zhang, BB Frederick, F Cong
Human Brain Mapping 43 (5), 1561-1576, 2022
强制性开放获取政策： US National Institutes of Health, 国家自然科学基金委员会
出版信息和资助信息由计算机程序自动确定