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DATA: Differentiable ArchiTecture Approximation 会议论文
, 加拿大, 2019.12
作者:  Chang, Jianlong
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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
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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:329/16  |  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  
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)
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Tourette Syndrome  Children  Functional Connectivity  Graph Theory  Topological Organization  Similarity Network Fusion  
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
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Bipolar Disorders  Major Depressive Disorder  Functional Network Connectivity  Gray Matter Density  Multimodal Fusion  Mcca Plus Jica  
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:302/47  |  提交时间:2017/12/30
Building Energy Consumption  Deep Learning  Stacked Autoencoders  Extreme Learning Machine  
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)
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Tourette Syndrome  Diffusion Mri  Probabilistic Tractography  Structural Network  Graph Theory  Topological Organization  Multiple Kernel Learning  
Multi-modal multiple kernel learning for accurate identification of Tourette syndrome children 期刊论文
PATTERN RECOGNITION, 2017, 卷号: 63, 期号: *, 页码: 601-611
作者:  Wen, Hongwei;  Liu, Yue;  Rekik, Islem;  Wang Shengpei;  Chen, Zhiqiang;  Zhang, Jishui;  Zhang, Yue;  Peng, Yun;  He, Huiguang
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Tourette Syndrome  Dti  Tbss  Svm  Mkl  
Convergent and divergent intranetwork and internetwork connectivity patterns in patients with remitted late-life depression and amnestic mild cognitive impairment 期刊论文
CORTEX, 2016, 卷号: 83, 期号: 83, 页码: 194-211
作者:  Chen, Jiu;  Shu, Hao;  Wang, Zan;  Zhan, Yafeng;  Liu, Duan;  Liao, Wenxiang;  Xu, Lin;  Liu, Yong;  Zhang, Zhijun;  Yong Liu and Zhijun Zhang
浏览  |  Adobe PDF(3101Kb)  |  收藏  |  浏览/下载:536/214  |  提交时间:2017/02/08
Remitted Late-life Depression  Amnestic Mild Cognitive Impairment  Fmri  Intranetwork  Internetwork  
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:461/194  |  提交时间:2016/10/20
Design  Algorithms  Performance  Human Factors  News Summarization  Topic Structure  Multimodal  Hierarchical Latent Dirichlet Allocation  Maximum Spanning Tree