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Co-altered functional networks and brain structure in unmedicated patients with bipolar and major depressive disorders 期刊论文
BRAIN STRUCTURE & FUNCTION, 2017, 卷号: 222, 期号: 9, 页码: 4051-4064
作者:  He, Hao;  Sui, Jing;  Du, Yuhui;  Yu, Qingbao;  Lin, Dongdong;  Drevets, Wayne C.;  Savitz, Jonathan B.;  Yang, Jian;  Victor, Teresa A.;  Calhoun, Vince D.;  Sui Jing(隋婧);  Vince D. Calhoun
浏览  |  Adobe PDF(1476Kb)  |  收藏  |  浏览/下载：433/113  |  提交时间：2018/01/08
Bipolar Disorders  Major Depressive Disorder  Functional Network Connectivity  Gray Matter Density  Multimodal Fusion  Mcca Plus Jica  
Inter and intra-hemispheric structural imaging markers predict depression relapse after electroconvulsive therapy: a multisite study 期刊论文
TRANSLATIONAL PSYCHIATRY, 2017, 卷号: 7, 期号: 12, 页码: 1270
作者:  Wade, Benjamin S. C.;  Sui, Jing;  Hellemann, Gerhard;  Leaver, Amber M.;  Espinoza, Randall T.;  Woods, Roger P.;  Abbott, Christopher C.;  Joshi, Shantanu H.;  Narr, Katherine L.
浏览  |  Adobe PDF(783Kb)  |  收藏  |  浏览/下载：403/74  |  提交时间：2018/01/08
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Building Energy Consumption Prediction: An Extreme Deep Learning Approach 期刊论文
ENERGIES, 2017, 卷号: 10, 期号: 10, 页码: 1-20
作者:  Li, Chengdong;  Ding, Zixiang;  Zhao, Dongbin;  Yi, Jianqiang;  Zhang, Guiqing
浏览  |  Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：309/49  |  提交时间：2017/12/30
Building Energy Consumption  Deep Learning  Stacked Autoencoders  Extreme Learning Machine  
Exploring the optimal granularity for market segmentation in RTB advertising via computational experiment approach 期刊论文
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2017, 卷号: 24, 期号: NA, 页码: 68-83
作者:  Qin, Rui;  Yuan, Yong;  Wang, Fei-Yue;  Yuan Yong
浏览  |  Adobe PDF(6997Kb)  |  收藏  |  浏览/下载：561/215  |  提交时间：2017/09/21
Real Time Bidding  Demand Side Platforms  Market Segmentation  Computational Experiment  
A Probabilistic Mechanism Design for Online Auctions 期刊论文
IEEE ACCESS, 2017, 卷号: 2017, 期号: .5, 页码: 10782-10794
作者:  Zhang, Jie;  Li, Linjing;  Wang, Fei-Yue
浏览  |  Adobe PDF(3721Kb)  |  收藏  |  浏览/下载：391/101  |  提交时间：2017/09/12
Mechanism Design  Online Auctions  Randomized Mechanisms  E-commerce  Computational Experiments  Probabilistic Mechanism Design  
Parameter Identifiability in Statistical Machine Learning: A Review 期刊论文
NEURAL COMPUTATION, 2017, 卷号: 29, 期号: 5, 页码: 1151-1203
作者:  Ran, Zhi-Yong;  Hu, Bao-Gang
浏览  |  Adobe PDF(466Kb)  |  收藏  |  浏览/下载：325/97  |  提交时间：2017/07/18
Parameter Identifiability  Statistical Machine Learning  
Disrupted topological organization of structural networks revealed by probabilistic diffusion tractography in Tourette syndrome children 期刊论文
HUMAN BRAIN MAPPING, 2017, 卷号: 38, 期号: 8, 页码: 3988-4008
作者:  Wen, Hongwei;  Liu, Yue;  Rekik, Islem;  Wang, Shengpei;  Zhang, Jishui;  Zhang, Yue;  Peng, Yun;  He, Huiguang;  He HG(何晖光)
浏览  |  Adobe PDF(938Kb)  |  收藏  |  浏览/下载：593/198  |  提交时间：2017/06/06
Tourette Syndrome  Diffusion Mri  Probabilistic Tractography  Structural Network  Graph Theory  Topological Organization  Multiple Kernel Learning  
Deep Reinforcement Learning With Visual Attention for Vehicle Classification 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2017, 卷号: 9, 期号: 4, 页码: 356-367
作者:  Zhao, Dongbin;  Chen, Yaran;  Lv, Le
浏览  |  Adobe PDF(3192Kb)  |  收藏  |  浏览/下载：1032/539  |  提交时间：2017/05/08
Convolutional Neural Network (Cnn)  Reinforcement Learning  Vehicle Classification  Visual Attention  
The dynamic interdependence of international financial markets: An empirical study on twenty-seven stock markets 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 卷号: 2017, 期号: 472, 页码: 32-42
作者:  Zhang, Xingwei;  Zheng, Xiaolong;  Zeng, Daniel Dajun
浏览  |  Adobe PDF(3811Kb)  |  收藏  |  浏览/下载：335/92  |  提交时间：2017/05/05
Dynamic Interdependence  Influence Strength  Minimum Spanning Tree  Cross Correlation  
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls 期刊论文
NEUROIMAGE, 2017, 卷号: 145, 页码: 137-165
作者:  Arbabshirani, Mohammad R.;  Plis, Sergey;  Sui, Jing;  Calhoun, Vince D.
Adobe PDF(2676Kb)  |  收藏  |  浏览/下载：454/113  |  提交时间：2017/02/14
Neuroimaging  Machine Learning  Classification  Brain Disorders  Prediction