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Robotics Dexterous Grasping: The Methods Based on Point Cloud and Deep Learning 期刊论文
Frontiers in Neurorobotics, 2021, 卷号: 15, 页码: 658280
作者:  Duan, Haonan;  Wang, Peng;  Huang, Yayu;  Xu, Guangyun;  Wei, Wei;  Shen, Xiaofei
Adobe PDF(3145Kb)  |  收藏  |  浏览/下载：12/4  |  提交时间：2024/05/29
Robotics  Dexterous grasping  Point Cloud  Deep learning  
Pattern recognition of epilepsy using parallel probabilistic neural network 期刊论文
Applied Intelligence, 2021, 页码: 1
作者:  Gong C(龚晨);  Zhou XC(周星辰);  Niu YY(牛云云)
Adobe PDF(1052Kb)  |  收藏  |  浏览/下载：87/31  |  提交时间：2023/06/27
Robust Texture-Aware Computer-Generated Image Forensic: Benchmark and Algorithm 期刊论文
IEEE Transactions on Image Processing, 2021, 卷号: 30, 页码: 8439-8453
作者:  Bai, Weiming;  Zhang, Zhipeng;  Li, Bing;  Wang, Pei;  Li, Yangxi;  Zhang, Congxuan;  Hu, Weiming
Adobe PDF(4552Kb)  |  收藏  |  浏览/下载：190/57  |  提交时间：2022/06/14
Facial Recognition Intensity in Disease Diagnosis Using Automatic Facial Recognition 期刊论文
JOURNAL OF PERSONALIZED MEDICINE, 2021, 卷号: 11, 期号: 11, 页码: 15
作者:  Wu, Danning;  Chen, Shi;  Zhang, Yuelun;  Zhang, Huabing;  Wang, Qing;  Li, Jianqiang;  Fu, Yibo;  Wang, Shirui;  Yang, Hongbo;  Du, Hanze;  Zhu, Huijuan;  Pan, Hui;  Shen, Zhen
Adobe PDF(2141Kb)  |  收藏  |  浏览/下载：318/87  |  提交时间：2022/01/27
artificial intelligence  computer-aided diagnosis  facial phenotypes  machine learning  complexity theory  
Multisite schizophrenia classification by integrating structural magnetic resonance imaging data with polygenic risk score 期刊论文
NEUROIMAGE-CLINICAL, 2021, 卷号: 32, 页码: 9
作者:  Hu, Ke;  Wang, Meng;  Liu, Yong;  Yan, Hao;  Song, Ming;  Chen, Jun;  Chen, Yunchun;  Wang, Huaning;  Guo, Hua;  Wan, Ping;  Lv, Luxian;  Yang, Yongfeng;  Li, Peng;  Lu, Lin;  Yan, Jun;  Wang, Huiling;  Zhang, Hongxing;  Zhang, Dai;  Wu, Huawang;  Ning, Yuping;  Jiang, Tianzi;  Liu, Bing
Adobe PDF(999Kb)  |  收藏  |  浏览/下载：224/2  |  提交时间：2021/12/28
Schizophrenia  Classification  Structural magnetic resonance imaging  Gray matter volume  Polygenic risk score  Machine learning  
Generalized zero-shot emotion recognition from body gestures 期刊论文
APPLIED INTELLIGENCE, 2021, 页码: 19
作者:  Wu, Jinting;  Zhang, Yujia;  Sun, Shiying;  Li, Qianzhong;  Zhao, Xiaoguang
Adobe PDF(2059Kb)  |  收藏  |  浏览/下载：310/64  |  提交时间：2021/12/28
Generalized zero-shot learning  Emotion recognition  Body gesture recognition  Prototype learning  
Partial NIR-VIS Heterogeneous Face Recognition With Automatic Saliency Search 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2021, 卷号: 16, 页码: 5003-5017
作者:  Luo, Mandi;  Ma, Xin;  Li, Zhihang;  Cao, Jie;  He, Ran
Adobe PDF(4346Kb)  |  收藏  |  浏览/下载：281/58  |  提交时间：2021/12/28
Face recognition  Task analysis  Visualization  Image recognition  Lighting  Feature extraction  Training  Heterogeneous face recognition  near infrared-visible matching  information bottleneck  neural architecture search  
Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
作者:  An, Chao;  Li, Dongyang;  Li, Sheng;  Li, Wangzhong;  Tong, Tong;  Liu, Lizhi;  Jiang, Dongping;  Jiang, Linling;  Ruan, Guangying;  Hai, Ning;  Fu, Yan;  Wang, Kun;  Zhuo, Shuiqing;  Tian, Jie
Adobe PDF(2925Kb)  |  收藏  |  浏览/下载：319/62  |  提交时间：2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis  
Learning with smooth Hinge losses 期刊论文
NEUROCOMPUTING, 2021, 卷号: 463, 页码: 379-387
作者:  Luo, JunRu;  Qiao, Hong;  Zhang, Bo
收藏  |  浏览/下载：177/0  |  提交时间：2021/12/28
Smooth Hinge loss  Convex surrogate loss  Support vector machine  Trust region Newton method  
Diagnosis of Typical Apple Diseases: A Deep Learning Method Based on Multi-Scale Dense Classification Network 期刊论文
FRONTIERS IN PLANT SCIENCE, 2021, 卷号: 12, 页码: 12
作者:  Tian, Yunong;  Li, En;  Liang, Zize;  Tan, Min;  He, Xiongkui
Adobe PDF(4280Kb)  |  收藏  |  浏览/下载：195/1  |  提交时间：2021/12/28
apple disease diagnosis  Cycle-GAN  Multi-scale connection  DenseNet  deep learning