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Understanding Nonverbal Communication Cues of Human Personality Traits in Human-Robot Interaction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 6, 页码: 1465-1477
作者:  Zhihao Shen;  Armagan Elibol;  Nak Young Chong
浏览  |  Adobe PDF(5737Kb)  |  收藏  |  浏览/下载：147/49  |  提交时间：2021/03/11
Human-robot interaction  machine learning  nonverbal communication cues  personality traits  
Text-mining-based Fake News Detection Using Ensemble Methods 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 2, 页码: 210-221
作者:  Harita Reddy;  Namratha Raj;  Manali Gala;  Annappa Basava
浏览  |  Adobe PDF(1101Kb)  |  收藏  |  浏览/下载：327/124  |  提交时间：2021/02/22
Fake news  social media  stylometric features  word vectors  ensemble methods.  
Multi-task autoencoder based classification-regression model for patient-specific VMAT QA 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2020, 卷号: 65, 期号: 23, 页码: 12
作者:  Wang, Le;  Li, Jiaqi;  Zhang, Shuming;  Zhang, Xile;  Zhang, Qilin;  Chan, Maria F.;  Yang, Ruijie;  Sui, Jing
Adobe PDF(926Kb)  |  收藏  |  浏览/下载：453/94  |  提交时间：2021/01/06
VMAT QA  patient-specific QA  deep learning  radiotherapy  
A Trajectory-based Attention Model for Sequential Impurity Detection 期刊论文
Neurocomputing, 2020, 卷号: 410, 期号: 410, 页码: 271-283
作者:  Wenhao He;  Haitao Song;  Yue Guo;  Xiaonan Wang;  Guibin Bian;  Kui Yuan
浏览  |  Adobe PDF(2153Kb)  |  收藏  |  浏览/下载：275/69  |  提交时间：2020/10/19
Impurity detection  Siamese fusion network  Trajectory-based attention model  Sequential region proposal classification  
Lightweight Two-Stream Convolutional Neural Network for SAR Target Recognition 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2020, 卷号: 18, 期号: 0, 页码: 1-5
作者:  Huang, Xiayuan;  Yang, Qiao;  Qiao, Hong
Adobe PDF(736Kb)  |  收藏  |  浏览/下载：191/72  |  提交时间：2020/10/13
Lightweight  synthetic aperture radar (SAR) target recognition  two-stream convolutional neural network (CNN)  
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：441/66  |  提交时间：2020/08/03
Resting-state fMRI  Generative adversarial networks (GAN)  Deep learning  Classification  Major depressive disorders  Schizophrenia  
RefineDet++: Single-Shot Refinement Neural Network for Object Detection 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2020, 期号: 0, 页码: 0
作者:  Zhang, Shifeng;  Wen, Longyin;  Lei, Zhen;  Li, Stan Z.
Adobe PDF(4899Kb)  |  收藏  |  浏览/下载：156/0  |  提交时间：2020/06/08
Object detection, one-stage, refinement network  
RefineFace: Refinement Neural Network for High Performance Face Detection 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 期号: 0, 页码: 0
作者:  Zhang, Shifeng;  Chi, Cheng;  Lei, Zhen;  Li, Stan Z.
Adobe PDF(5938Kb)  |  收藏  |  浏览/下载：194/46  |  提交时间：2020/06/08
Face detection, refinement network, high performance  
Shared and distinct resting functional connectivity in children and adults with attention-deficit/hyperactivity disorder 期刊论文
TRANSLATIONAL PSYCHIATRY, 2020, 卷号: 10, 期号: 1, 页码: 12
作者:  Guo, Xiaojie;  Yao, Dongren;  Cao, Qingjiu;  Liu, Lu;  Zhao, Qihua;  Li, Hui;  Huang, Fang;  Wang, Yanfei;  Qian, Qiujin;  Wang, Yufeng;  Calhoun, Vince D.;  Johnstone, Stuart J.;  Sui, Jing;  Sun, Li
Adobe PDF(3974Kb)  |  收藏  |  浏览/下载：401/76  |  提交时间：2020/04/07
ADHD  Functional Connectivity  Feature Selection  
A fast fused part-based model with new deep feature for pedestrian detection and security monitoring 期刊论文
MEASUREMENT, 2020, 卷号: 151, 期号: 1, 页码: 12
作者:  Cheng, Eric Juwei;  Prasad, Mukesh;  Yang, Jie;  Khanna, Pritee;  Chen, Bing-Hong;  Tao, Xian;  Young, Ku-Young;  Lin, Chin-Teng
Adobe PDF(3849Kb)  |  收藏  |  浏览/下载：293/60  |  提交时间：2020/03/30
Pedestrian detection  Haar-like feature  Deep fused feature  Deformable partmodel  Security monitoring