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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：821/297  |  提交时间：2017/09/16
Demographic Estimation  Biometrics  Human Age Estimation  Gender Classification  Race Recognition  
Mining e-cigarette adverse events in social media using Bi-LSTM recurrent neural network with word embedding representation 期刊论文
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2018, 卷号: 25, 期号: 1, 页码: 72-80
作者:  Xie, Jiaheng;  Liu, Xiao;  Zeng, Daniel Dajun
收藏  |  浏览/下载：203/0  |  提交时间：2018/10/10
E-cigarette Adverse Event  Bi-lstm  Recurrent Neural Network  Word Embedding  Deep Neural Network  
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：309/69  |  提交时间：2018/01/08
Cognitive Control  Mcca Plus Jica  Multimodal Fusion  
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.
Adobe PDF(965Kb)  |  收藏  |  浏览/下载：532/232  |  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：581/196  |  提交时间：2017/06/06
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
浏览  |  Adobe PDF(1101Kb)  |  收藏  |  浏览/下载：610/180  |  提交时间：2017/02/14
Tourette Syndrome  Dti  Tbss  Svm  Mkl  
Horror Image Recognition Based on Context-Aware Multi-Instance Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 卷号: 24, 期号: 12, 页码: 5193-5205
作者:  Li, Bing;  Xiong, Weihua;  Wu, Ou;  Hu, Weiming;  Maybank, Stephen;  Yan, Shuicheng;  Bing Li
浏览  |  Adobe PDF(906Kb)  |  收藏  |  浏览/下载：739/300  |  提交时间：2015/11/12
Horror Image Recognition  Context-aware Multi-instance Learning  Visual Saliency  
Enhanced HMAX model with feedforward feature learning for multiclass categorization 期刊论文
FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2015, 卷号: 9, 页码: 1-14
作者:  Li, Yinlin;  Wu, Wei;  Zhang, Bo;  Li, Fengfu
Adobe PDF(3664Kb)  |  收藏  |  浏览/下载：357/79  |  提交时间：2016/03/30
Hmax  Biologically Inspired  Feedforward  Saliency Map  Middle Level Patch Learning  Feature Encoding  Multiclass Categorization  
Reduced fiber integrity and cognitive control in adolescents with internet gaming disorder 期刊论文
BRAIN RESEARCH, 2014, 卷号: 1586, 期号: 无, 页码: 109-117
作者:  Xing, Lihong;  Yuan, Kai;  Bi, Yanzhi;  Yin, Junsen;  Cai, Chenxi;  Feng, Dan;  Li, Yangding;  Song, Min;  Wang, Hongmei;  Yu, Dahua;  Xue, Ting;  Jin, Chenwang;  Qin, Wei;  Tian, Jie
Adobe PDF(1941Kb)  |  收藏  |  浏览/下载：417/132  |  提交时间：2015/08/12
Diffusion Tensor Imaging (Dti)  Fractional Anisotropy (Fa)  Internet Gaming Disorder (Igd)  Resting-state  Salience Network (Sn)  
Measuring the Visual Complexities of Web Pages 期刊论文
ACM TRANSACTIONS ON THE WEB, 2013, 卷号: 7, 期号: 1, 页码: 33
作者:  Wu, Ou;  Hu, Weiming;  Shi, Lei;  Ou Wu
浏览  |  Adobe PDF(1054Kb)  |  收藏  |  浏览/下载：404/133  |  提交时间：2015/08/12
Algorithms  Performance  Visual Complexity (Viscom)  Quantification  Web Mining  Feature  Learning