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Semi-supervised cross-modal image generation with generative adversarial networks 期刊论文
Pattern Recognition, 2020, 卷号: 100, 页码: 107085
作者:  Li D(李丹);  Du CD(杜长德);  He HG(何晖光)
Adobe PDF(4031Kb)  |  收藏  |  浏览/下载：119/34  |  提交时间：2023/05/05
Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 无, 期号: 无, 页码: 无
作者:  Chen, Zhiqiang;  Xu, Ting-Bing;  Du, Changde;  Liu, Cheng-Lin;  He, Huiguang
浏览  |  Adobe PDF(4352Kb)  |  收藏  |  浏览/下载：292/64  |  提交时间：2021/01/27
Conditional accuracy change (CAC), direct criterion, dynamical channel pruning, neural network compression, structure shaping.  
GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity 期刊论文
Frontiers in Computational Neuroscience, 2020, 卷号: 14, 页码: 12
作者:  Zhao, Dongcheng;  Zeng, Yi;  Zhang, Tielin;  Shi, Mengting;  Zhao, Feifei
Adobe PDF(3174Kb)  |  收藏  |  浏览/下载：312/48  |  提交时间：2021/01/06
SNN  plasticity  brain  local STDP  global feedback alignment  
Reducing Calibration Efforts in RSVP Tasks With Multi-Source Adversarial Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 卷号: 28, 期号: 11, 页码: 2344-2355
作者:  Wei, Wei;  Qiu, Shuang;  Ma, Xuelin;  Li, Dan;  Wang, Bo;  He, Huiguang
浏览  |  Adobe PDF(2448Kb)  |  收藏  |  浏览/下载：397/100  |  提交时间：2021/01/06
Electroencephalography  Calibration  Correlation  Brain modeling  Task analysis  Feature extraction  Visualization  EEG  RSVP-based BCI  calibration reduction  multi-source domain adaptation  correlation metric learning  
Multi-task autoencoder based classification-regression model for patient-specific VMAT QA 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2020, 卷号: 65, 期号: 23, 页码: 12
作者:  Wang, Le;  Li, Jiaqi;  Zhang, Shuming;  Zhang, Xile;  Zhang, Qilin;  Chan, Maria F.;  Yang, Ruijie;  Sui, Jing
Adobe PDF(926Kb)  |  收藏  |  浏览/下载：435/90  |  提交时间：2021/01/06
VMAT QA  patient-specific QA  deep learning  radiotherapy  
Joint Learning in the Spatio-Temporal and Frequency Domains for Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 9, 页码: 2207-2220
作者:  Guyue, Hu;  Bo, Cui;  Shan, Yu
Adobe PDF(4803Kb)  |  收藏  |  浏览/下载：310/61  |  提交时间：2020/09/28
Skeleton-based Action Recognition  Frequency Attention  Synchronous Local and Non-local Learning  Soft-margin Focal Loss  Pesudo Multi-task Learning  
Automatic Reconstruction of Mitochondria and Endoplasmic Reticulum in Electron Microscopy Volumes by Deep Learning 期刊论文
FRONTIERS IN NEUROSCIENCE, 2020, 期号: 14, 页码: 13
作者:  Liu, Jing;  Li, Linlin;  Yang, Yang;  Hong, Bei;  Chen, Xi;  Xie, Qiwei;  Han, Hua
浏览  |  Adobe PDF(1944Kb)  |  收藏  |  浏览/下载：304/70  |  提交时间：2020/09/21
mitochondria  endoplasmic reticulum  electron microscopes  segmentation  3D reconstruction  
Changes of Effective Connectivity in the Alpha Band Characterize Differential Processing of Audiovisual Information in Cross-Modal Selective Attention 期刊论文
NEUROSCIENCE BULLETIN, 2020, 卷号: 36, 期号: 9, 页码: 1009-1022
作者:  Niu, Weikun;  Jiang, Yuying;  Zhang, Xin;  Jiang, Tianzi;  Zhang, Yujin;  Yu, Shan
Adobe PDF(3941Kb)  |  收藏  |  浏览/下载：255/0  |  提交时间：2020/08/24
Human EEG  Audiovisual selective attention  Granger Causality  Pattern classification  
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 8, 页码: 2241-2252
作者:  Wang, Mingliang;  Lian, Chunfeng;  Yao, Dongren;  Zhang, Daoqiang;  Liu, Mingxia;  Shen, Dinggang
Adobe PDF(5624Kb)  |  收藏  |  浏览/下载：299/60  |  提交时间：2020/08/24
Spatial-temporal dependency  neural network  Alzheimer's disease  hub detection  resting-state functional MRI  
Brain-Inspired Active Learning Architecture for Procedural Knowledge Understanding Based on Human-Robot Interaction 期刊论文
COGNITIVE COMPUTATION, 2020, 页码: 13
作者:  Zhang, Tielin;  Zeng, Yi;  Pan, Ruihan;  Shi, Mengting;  Lu, Enmeng
收藏  |  浏览/下载：176/0  |  提交时间：2020/08/21
Brain-inspired architecture  Procedural knowledge  Deep neural network  Reinforcement learning  Knowledge graph