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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：425/142  |  提交时间：2019/06/10
Unsupervised Domain Adaptation  Domain-invariant Projection  Class-clustering  Sampling-and-fusion  
Representational similarity analysis reveals task-dependent semantic influence of the visual word form area 期刊论文
SCIENTIFIC REPORTS, 2018, 卷号: 8
作者:  Wang, Xiaosha;  Xu, Yangwen;  Wang, Yuwei;  Zeng, Yi;  Zhang, Jiacai;  Ling, Zhenhua;  Bi, Yanchao
Adobe PDF(3169Kb)  |  收藏  |  浏览/下载：284/41  |  提交时间：2018/10/10
Aberrant Dynamic Functional Network Connectivity and Graph Properties in Major Depressive Disorder 期刊论文
FRONTIERS IN PSYCHIATRY, 2018, 卷号: 9, 期号: 1, 页码: 11
作者:  Zhi, Dongmei;  Calhoun, Vince D.;  Lv, Luxian;  Ma, Xiaohong;  Ke, Qing;  Fu, Zening;  Du, Yuhui;  Yang, Yongfeng;  Yang, Xiao;  Pan, Miao;  Qi, Shile;  Jiang, Rongtao;  Yu, Qingbao;  Sui, Jing
Adobe PDF(2635Kb)  |  收藏  |  浏览/下载：346/16  |  提交时间：2018/10/10
Major Depressive Disorder  Independent Component Analysis  Dynamic Functional Network Connectivity  Graph Theory  Resting-state Functional Magnetic Resonance Imaging  
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：440/113  |  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：415/77  |  提交时间：2018/01/08
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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：467/155  |  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：318/49  |  提交时间：2017/12/30
Building Energy Consumption  Deep Learning  Stacked Autoencoders  Extreme Learning Machine  
Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 2, 页码: 332-351
作者:  Sun, Yunlian;  Zhang, Man;  Sun, Zhenan;  Tan, Tieniu
浏览  |  Adobe PDF(2995Kb)  |  收藏  |  浏览/下载：850/303  |  提交时间：2017/09/16
Demographic Estimation  Biometrics  Human Age Estimation  Gender Classification  Race Recognition  
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：402/104  |  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：335/101  |  提交时间：2017/07/18
Parameter Identifiability  Statistical Machine Learning