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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
作者:  Jian Liang;  Ran He;  Zhenan Sun;  Tieniu Tan
浏览  |  Adobe PDF(865Kb)  |  收藏  |  浏览/下载：397/133  |  提交时间：2019/06/10
Unsupervised Domain Adaptation  Domain-invariant Projection  Class-clustering  Sampling-and-fusion  
Brain Network Studies in Chronic Disorders of Consciousness: Advances and Perspectives 期刊论文
NEUROSCIENCE BULLETIN, 2018, 卷号: 34, 期号: 4, 页码: 592-604
作者:  Song, Ming;  Zhang, Yujin;  Cui, Yue;  Yang, Yi;  Jiang, Tianzi
浏览  |  Adobe PDF(688Kb)  |  收藏  |  浏览/下载：375/80  |  提交时间：2018/10/10
Disorders Of Consciousness  Neuroimaging  Brain Network  Brainnetome  
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：599/188  |  提交时间：2017/06/06
Tourette Syndrome  Children  Functional Connectivity  Graph Theory  Topological Organization  Similarity Network 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
浏览  |  Adobe PDF(1326Kb)  |  收藏  |  浏览/下载：445/147  |  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：300/46  |  提交时间：2017/12/30
Building Energy Consumption  Deep Learning  Stacked Autoencoders  Extreme Learning Machine  
Personality-based refinement for sentiment classification in microblog 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2017, 卷号: 132, 期号: 132, 页码: 204-214
作者:  Lin, Junjie;  Mao, Wenji;  Zeng, Daniel D.
浏览  |  Adobe PDF(965Kb)  |  收藏  |  浏览/下载：529/231  |  提交时间：2018/01/04
Sentiment Classification  Social Media Analytics  Personality Prediction  Big Five Model  
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：573/196  |  提交时间：2017/06/06
Tourette Syndrome  Diffusion Mri  Probabilistic Tractography  Structural Network  Graph Theory  Topological Organization  Multiple Kernel Learning  
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：554/214  |  提交时间：2017/09/21
Real Time Bidding  Demand Side Platforms  Market Segmentation  Computational Experiment  
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：322/96  |  提交时间：2017/07/18
Parameter Identifiability  Statistical Machine Learning  
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：329/90  |  提交时间：2017/05/05
Dynamic Interdependence  Influence Strength  Minimum Spanning Tree  Cross Correlation