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Combining Disrupted and Discriminative Topological Properties of Functional Connectivity Networks as Neuroimaging Biomarkers for Accurate Diagnosis of Early Tourette Syndrome Children 期刊论文
MOLECULAR NEUROBIOLOGY, 2018, 卷号: 55, 期号: 4, 页码: 3251-3269
作者:  Wen, Hongwei;  Liu, Yue;  Rekik, Islem;  Wang, Shengpei;  Chen, Zhiqiang;  Zhang, Jishui;  Zhang, Yue;  Peng, Yun;  He, Huiguang;  He HG(何晖光)
浏览  |  Adobe PDF(6672Kb)  |  收藏  |  浏览/下载：588/187  |  提交时间：2017/06/06
Tourette Syndrome  Children  Functional Connectivity  Graph Theory  Topological Organization  Similarity Network Fusion  
Multimodal neural correlates of cognitive control in the Human Connectome Project 期刊论文
NEUROIMAGE, 2017, 卷号: 163, 期号: 2017-12, 页码: 41-54
作者:  Lerman-Sinkoff, Dov B.;  Sui, Jing;  Rachakonda, Srinivas;  Kandala, Sridhar;  Calhoun, Vince D.;  Barch, Deanna M.
浏览  |  Adobe PDF(3621Kb)  |  收藏  |  浏览/下载：302/69  |  提交时间：2018/01/08
Cognitive Control  Mcca Plus Jica  Multimodal Fusion  
Population Synthesis Based on Joint Distribution Inference Without Disaggregate Samples 期刊论文
JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 2017, 卷号: 20, 期号: 4, 页码: 16
作者:  Ye, Peijun;  Hu, Xiaolin;  Yuan, Yong;  Wang, Fei-Yue
Adobe PDF(1326Kb)  |  收藏  |  浏览/下载：439/146  |  提交时间：2018/01/05
Population Synthesis  Sample-free  Iterative Proportional Fitting  
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：297/46  |  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
Adobe PDF(6997Kb)  |  收藏  |  浏览/下载：546/214  |  提交时间：2017/09/21
Real Time Bidding  Demand Side Platforms  Market Segmentation  Computational Experiment  
Multimedia News Summarization in Search 期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2016, 卷号: 7, 期号: 3
作者:  Li, Zechao;  Tang, Jinhui;  Wang, Xueming;  Liu, Jing;  Lu, Hanqing
Adobe PDF(1304Kb)  |  收藏  |  浏览/下载：452/191  |  提交时间：2016/10/20
Design  Algorithms  Performance  Human Factors  News Summarization  Topic Structure  Multimodal  Hierarchical Latent Dirichlet Allocation  Maximum Spanning Tree  
Horror Image Recognition Based on Context-Aware Multi-Instance Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 12, 页码: 5193-5205
作者:  Li, Bing;  Xiong, Weihua;  Wu, Ou;  Hu, Weiming;  Maybank, Stephen;  Yan, Shuicheng;  Bing Li
浏览  |  Adobe PDF(906Kb)  |  收藏  |  浏览/下载：721/297  |  提交时间：2015/11/12
Horror Image Recognition  Context-aware Multi-instance Learning  Visual Saliency  
Enhanced HMAX model with feedforward feature learning for multiclass categorization 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2015, 卷号: 9, 页码: 1-14
作者:  Li, Yinlin;  Wu, Wei;  Zhang, Bo;  Li, Fengfu
浏览  |  Adobe PDF(3664Kb)  |  收藏  |  浏览/下载：347/77  |  提交时间：2016/03/30
Hmax  Biologically Inspired  Feedforward  Saliency Map  Middle Level Patch Learning  Feature Encoding  Multiclass Categorization  
Modeling Social Influence on Activity-Travel Behaviors Using Artificial Transportation Systems 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2015, 卷号: 16, 期号: 3, 页码: 1576-1581
作者:  Chen, Songhang;  Liu, Zhong;  Shen, Dayong
浏览  |  Adobe PDF(688Kb)  |  收藏  |  浏览/下载：446/145  |  提交时间：2016/10/15
Social Networks  Activity-travel Behaviors  Artificial Transportation Systems (Atss)  Social Interactions  Social Learning  
Dynamic dual adjustment of daily budgets and bids in sponsored search auctions 期刊论文
DECISION SUPPORT SYSTEMS, 2014, 卷号: 57, 期号: 0, 页码: 105-114
作者:  Zhang, Jie;  Yang, Yanwu;  Li, Xin;  Qin, Rui;  Zeng, Daniel
浏览  |  Adobe PDF(983Kb)  |  收藏  |  浏览/下载：326/91  |  提交时间：2015/08/12
Sponsored Search Auction  Budget Adjustment  Continuous Reinforcement Learning  Dynamic Adjustment