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DATA: Differentiable ArchiTecture Approximation 会议论文
, 加拿大, 2019.12
作者:  Chang, Jianlong
浏览  |  Adobe PDF(1035Kb)  |  收藏  |  浏览/下载：346/67  |  提交时间：2020/06/10
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.
浏览  |  Adobe PDF(3621Kb)  |  收藏  |  浏览/下载：358/83  |  提交时间：2018/01/08
Cognitive Control  Mcca Plus Jica  Multimodal Fusion  
Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia. 期刊论文
IEEE Trans Med Imaging., 2018, 卷号: 37(1), 期号: 201801, 页码: 93-105
作者:  Shile Qi;  Vince D. Calhoun;  Theo G. M. van Erp;  Juan Bustillo;  Eswar Damaraju;  Jessica A. Turner;  Yuhui Du;  Jiayu Chen;  Qingbao Yu;  Daniel H. Mathalon;  Judith M. Ford;  James Voyvodic;  Bryon A. Mueller;  Aysenil Belger;  Sarah Mc Ewen;  Steven G. Potkin;  Steven G. Potkin;  Tianzi Jiang;  Sui Jing(隋婧)
浏览  |  Adobe PDF(1484Kb)  |  收藏  |  浏览/下载：532/148  |  提交时间：2018/01/08
Multimodal Fusion With Reference  Mccar  Supervised Learning  Schizophrenia  Working Memory  Ica  Mccb  Cminds  
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：347/57  |  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：892/316  |  提交时间：2017/09/16
Demographic Estimation  Biometrics  Human Age Estimation  Gender Classification  Race Recognition  
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：494/124  |  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：578/230  |  提交时间：2017/02/08
Remitted Late-life Depression  Amnestic Mild Cognitive Impairment  Fmri  Intranetwork  Internetwork  
Discriminating Bipolar Disorder From Major Depression Based on SVM-FoBa: Efficient Feature Selection With Multimodal Brain Imaging Data 期刊论文
IEEE TRANSACTIONS ON AUTONOMOUS MENTAL DEVELOPMENT, 2015, 卷号: 7, 期号: 4, 页码: 320-331
作者:  Jie, Nan-Feng;  Zhu, Mao-Hu;  Ma, Xiao-Ying;  Osuch, Elizabeth A.;  Wammes, Michael;  Theberge, Jean;  Li, Huan-Dong;  Zhang, Yu;  Jiang, Tian-Zi;  Sui, Jing;  Calhoun, Vince D.
浏览  |  Adobe PDF(1662Kb)  |  收藏  |  浏览/下载：418/79  |  提交时间：2016/01/22
Bipolar Disorder  Classification  Feature Selection  Major Depression  Multimodal Fusion  
Which photo groups should I choose? A comparative study of recommendation algorithms in Flickr 期刊论文
JOURNAL OF INFORMATION SCIENCE, 2010, 卷号: 36, 期号: 6, 页码: 733-750
作者:  Zheng, Nan;  Li, Qiudan;  Liao, Shengcai;  Zhang, Leiming
Adobe PDF(539Kb)  |  收藏  |  浏览/下载：291/87  |  提交时间：2015/08/12
Collaborative Filtering  Flickr Group  Recommender Systems  Social Tagging Systems  
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：446/146  |  提交时间：2015/08/12
Algorithms  Performance  Visual Complexity (Viscom)  Quantification  Web Mining  Feature  Learning