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Data-Based Reinforcement Learning for Nonzero-Sum Games With Unknown Drift Dynamics 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 8, 页码: 2874-2885
Authors:  Zhang, Qichao;  Zhao, Dongbin
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Integral reinforcement learning (IRL)  neural network (NN)  nonzero-sum (NZS) games  off-policy  single-critic  unknown drift dynamics  
Improving visual question answering using dropout and enhanced question encoder 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 90, 期号: 1, 页码: 404-414
Authors:  Fang, Zhiwei;  Liu, Jing;  Li, Yong;  Qiao, Yanyuan;  Lu, Hanqing
View  |  Adobe PDF(1624Kb)  |  Favorite  |  View/Download:58/12  |  Submit date:2019/04/23
Visual question answering  Coherent dropout  Siamese dropout  Enhanced question encoder  
Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving 期刊论文
IEEE Computational Intelligence Magazine, IEEE Computational Intelligence Magazine, 2019, 2019, 卷号: 14, 14, 期号: 2, 页码: 83-98, 83-98
Authors:  Dong Li;  Dongbin Zhao;  Qichao Zhang;  Yaran Chen
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Deep Learning  Autonomous Driving  Visual Control  Reinforcement Learning  Deep Learning  Autonomous Driving  Visual Control  Reinforcement Learning  
Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study 期刊论文
GUT, 2019, 卷号: 68, 期号: 4, 页码: 729-741
Authors:  Wang, Kun;  Lu, Xue;  Zhou, Hui;  Gao, Yongyan;  Zheng, Jian;  Tong, Minghui;  Wu, Changjun;  Liu, Changzhu;  Huang, Liping;  Jiang, Tian'an;  Meng, Fankun;  Lu, Yongping;  Ai, Hong;  Xie, Xiao-Yan;  Yin, Li-Ping;  Liang, Ping;  Tian, Jie;  Zheng, Rongqin
View  |  Adobe PDF(4798Kb)  |  Favorite  |  View/Download:7/0  |  Submit date:2019/09/26
Reconstruction of behavior-relevant individual brain activity: an individualized fMRI study 期刊论文
SCIENCE CHINA Life Sciences, 2019, 期号: 暂无, 页码: 暂无
Authors:  Wu DY(吴东亚)
View  |  Adobe PDF(966Kb)  |  Favorite  |  View/Download:23/3  |  Submit date:2019/06/19
Individual Difference, Brain Function, Behavior, Prediction, Fmri  
Schizophrenia-related abnormalities in the triple network: A meta-analysis of working memory studies 期刊论文
Brain Imaging and Behavior, 2019, 期号: 暂无, 页码: 暂无
Authors:  Wu DY(吴东亚)
View  |  Adobe PDF(538Kb)  |  Favorite  |  View/Download:15/0  |  Submit date:2019/06/19
Schizophrenia, Meta-analysis, Neuroimaging, Working Memory  
Parameter Estimation Survey for Multi-joint Robot Dynamic Calibration Case Study 期刊论文
SCIENCE CHINA Information Sciences, 2019, 期号: 1, 页码: 1
Authors:  Zhang SL(张少林);  Wang S(王硕);  Jing FS(景奉水);  Tan M(谭民)
View  |  Adobe PDF(777Kb)  |  Favorite  |  View/Download:51/17  |  Submit date:2019/05/08
Dynamic Parameter Calibration  Friction Calibration  Robot Dynamics  Industrial Manipulator  Dynamic Models  
MIR137 polygenic risk is associated with schizophrenia and affects functional connectivity of the dorsolateral prefrontal cortex 期刊论文
Psychological Medicine, 2019, 期号: 无, 页码: 无
Authors:  Liu Shu;  Li Ang;  Liu Yong;  Li Jin;  Wang Meng;  Sun Yuqing;  Qin Wen;  Yu Chunshui;  Jiang Tianzi;  Liu Bing
View  |  Adobe PDF(850Kb)  |  Favorite  |  View/Download:27/12  |  Submit date:2019/06/18
Dorsolateral Prefrontal Cortex  Functional Connectivity  Microrna-137  Polygenic Risk Score  Schizophrenia  
Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation 期刊论文
IEEE Trans. Pattern Anal. Machine Intell., 2019, 卷号: 41, 期号: 5, 页码: 1027-1042
Authors:  Jian Liang;  Ran He;  Zhenan Sun;  Tieniu Tan
View  |  Adobe PDF(865Kb)  |  Favorite  |  View/Download:24/13  |  Submit date:2019/06/10
Unsupervised Domain Adaptation  Domain-invariant Projection  Class-clustering  Sampling-and-fusion  
Automatic brain labeling via multi-atlas guided fully convolutional networks 期刊论文
Medical Image Analysis, 2019, 期号: 52, 页码: 157-168
Authors:  Longwei Fang;  Lichi Zhang;  Dong Nie;  Xiaohuan Cao;  Islem Rekik;  Seong-Whan Lee;  Huiguang He;  Dingguang Shen
View  |  Adobe PDF(2952Kb)  |  Favorite  |  View/Download:51/20  |  Submit date:2019/05/05
Brain Image Labeling, Multi-atlas-based Method, Fully Convolutional Network, Patch-based Labeling