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Narrowing the Gap: Improved Detector Training With Noisy Location Annotations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6369-6380
作者:  Wang, Shaoru;  Gao, Jin;  Li, Bing;  Hu, Weiming
Adobe PDF(1489Kb)  |  收藏  |  浏览/下载：208/25  |  提交时间：2022/11/14
Annotations  Noise measurement  Detectors  Task analysis  Training  Object detection  Degradation  Object detection  noisy label  Bayesian estimation  teacher-student learning  
Inductive Representation Learning on Dynamic Stock Co-Movement Graphs for Stock Predictions 期刊论文
INFORMS JOURNAL ON COMPUTING, 2022, 页码: 19
作者:  Tian, Hu;  Zheng, Xiaolong;  Zhao, Kang;  Liu, Maggie Wenjing;  Zeng, Daniel Dajun
Adobe PDF(1329Kb)  |  收藏  |  浏览/下载：287/59  |  提交时间：2022/07/25
graph representation learning  deep learning  predictive models  business intelligence  
Functional network connectivity (FNC)-based generative adversarial network (GAN) and its applications in classification of mental disorders 期刊论文
JOURNAL OF NEUROSCIENCE METHODS, 2020, 卷号: 341, 期号: 108756, 页码: 10
作者:  Zhao, Jianlong;  Huang, Jinjie;  Zhi, Dongmei;  Yan, Weizheng;  Ma, Xiaohong;  Yang, Xiao;  Li, Xianbin;  Ke, Qing;  Jiang, Tianzi;  Calhoun, Vince D.;  Sui, Jing
Adobe PDF(5325Kb)  |  收藏  |  浏览/下载：355/59  |  提交时间：2020/08/03
Resting-state fMRI  Generative adversarial networks (GAN)  Deep learning  Classification  Major depressive disorders  Schizophrenia  
Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data 期刊论文
EBIOMEDICINE, 2019, 卷号: 47, 页码: 543-552
作者:  Yan, Weizheng;  Calhoun, Vince;  Song, Ming;  Cui, Yue;  Yan, Hao;  Liu, Shengfeng;  Fan, Lingzhong;  Zuo, Nianming;  Yang, Zhengyi;  Xu, Kaibin;  Yan, Jun;  Lv, Luxian;  Chen, Jun;  Chen, Yunchun;  Guo, Hua;  Li, Peng;  Lu, Lin;  Wan, Ping;  Wang, Huaning;  Wang, Huiling;  Yang, Yongfeng;  Zhang, Hongxing;  Zhang, Dai;  Jiang, Tianzi;  Sui, Jing
Adobe PDF(2166Kb)  |  收藏  |  浏览/下载：387/63  |  提交时间：2019/12/16
Recurrent neural network (RNN)  Schizophrenia  Multi-site classification  fMRI  Striatum  Cerebellum  Deep learning