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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：415/138  |  提交时间：2019/06/10
Unsupervised Domain Adaptation  Domain-invariant Projection  Class-clustering  Sampling-and-fusion  
Prognostication of chronic disorders of consciousness using brain functional networks and clinical characteristics 期刊论文
eLife, 2018, 卷号: 2018, 期号: 7, 页码: e36173
作者:  Song Ming;  Yi Yang;  Jianghong He;  Zhengyi Yang;  Shan Yu;  Qiuyou Xie;  Xiaoyu Xia;  Yuanyuan Dang;  Qiang Zhang;  Xinhuai Wu;  Yue Cui;  Bing Hou;  Ronghao Yu;  Ruxiang Xu;  Tianzi Jiang
浏览  |  Adobe PDF(7400Kb)  |  收藏  |  浏览/下载：464/80  |  提交时间：2018/10/11
Disorders Of Consciousness  Prognosis  Resting State Fmri  Functional Connectivity  Brain Network  
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：273/39  |  提交时间：2018/10/10
Core networks and their reconfiguration patterns across cognitive loads 期刊论文
HUMAN BRAIN MAPPING, 2018, 卷号: 39, 期号: 9, 页码: 3546-3557
作者:  Zuo, Nianming;  Yang, Zhengyi;  Liu, Yong;  Li, Jin;  Jiang, Tianzi
Adobe PDF(1205Kb)  |  收藏  |  浏览/下载：347/64  |  提交时间：2018/10/10
Brain Network  Functional Connectivity  Functional Mri  Network Reconfiguration  Working Memory  
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：340/16  |  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  
MicroRNA132 associated multimodal neuroimaging patterns in unmedicated major depressive disorder 期刊论文
BRAIN, 2018, 卷号: 141, 期号: 3, 页码: 916-926
作者:  Qi, Shile;  Yang, Xiao;  Zhao, Liansheng;  Calhoun, Vince D.;  Perrone-Bizzozero, Nora;  Liu, Shengfeng;  Jiang, Rongtao;  Jiang, Tianzi;  Sui, Jing;  Ma, Xiaohong
Adobe PDF(1019Kb)  |  收藏  |  浏览/下载：419/114  |  提交时间：2018/03/08
Major Depressive Disorder  Microrna132  Supervised Multimodal Fusion  Fronto-limbic Network  Unmedicated  
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.
Adobe PDF(3621Kb)  |  收藏  |  浏览/下载：319/71  |  提交时间：2018/01/08
Cognitive Control  Mcca Plus Jica  Multimodal Fusion  
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：406/75  |  提交时间：2018/01/08
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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：543/234  |  提交时间：2018/01/04
Sentiment Classification  Social Media Analytics  Personality Prediction  Big Five Model  
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：313/49  |  提交时间：2017/12/30
Building Energy Consumption  Deep Learning  Stacked Autoencoders  Extreme Learning Machine