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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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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
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Unsupervised Domain Adaptation  Domain-invariant Projection  Class-clustering  Sampling-and-fusion  
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:336/16  |  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  
Influence of inter-stimulus interval of spinal cord stimulation in patients with disorders of consciousness: A preliminary functional near-infrared spectroscopy study 期刊论文
NEUROIMAGE-CLINICAL, 2018, 卷号: 17, 期号: 2018, 页码: 1-9
作者:  Zhang, Yujin;  Yang, Yi;  Si, Juanning;  Xia, Xiaoyu;  He, Jianghong;  Jiang, Tianzi
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Disorders Of Consciousness  Spinal Cord Stimulation  Functional Near-infrared Spectroscopy  Inter-stimulus Interval  Prefrontal Cortex  
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  
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:613/189  |  提交时间:2017/06/06
Tourette Syndrome  Children  Functional Connectivity  Graph Theory  Topological Organization  Similarity Network Fusion  
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls 期刊论文
NEUROIMAGE, 2017, 卷号: 145, 页码: 137-165
作者:  Arbabshirani, Mohammad R.;  Plis, Sergey;  Sui, Jing;  Calhoun, Vince D.
Adobe PDF(2676Kb)  |  收藏  |  浏览/下载:455/113  |  提交时间:2017/02/14
Neuroimaging  Machine Learning  Classification  Brain Disorders  Prediction  
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:537/214  |  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:471/196  |  提交时间:2016/10/20
Design  Algorithms  Performance  Human Factors  News Summarization  Topic Structure  Multimodal  Hierarchical Latent Dirichlet Allocation  Maximum Spanning Tree  
Biologically Inspired Model for Visual Cognition Achieving Unsupervised Episodic and Semantic Feature Learning 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 10, 页码: 2335-2347
作者:  Qiao, Hong;  Li, Yinlin;  Li, Fengfu;  Xi, Xuanyang;  Wu, Wei
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Biologically Inspired  Hierarchical Model  Key Components Learning  Semantic Description