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检索条件"机构=CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology"
915 条 记 录,以下是491-500 订阅
排序:
User Profiling for CSDN:keyphrase Extraction,User Tagging and User Growth Value Prediction
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data Intelligence 2019年 第2期1卷 137-159页
作者: Guoliang Xing Hao Gao Qi Cao Xinyu Yue Bingbing Xu Keting Cen Huawei Shen Key Laboratory of Network Data Science and Technology Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China
The Chinese Software Developer network(CSDN)is one of the largest information technology communities and service platforms in *** paper describes the user profiling for CSDN,an evaluation track of SMP Cup *** contains... 详细信息
来源: 评论
A User Behavior-Based Random Distribution Scheme for Adversarial Example Generated CAPTCHA
A User Behavior-Based Random Distribution Scheme for Adversa...
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IEEE International Conference on Big data and Cloud computing (BdCloud)
作者: Wenwen Zheng Weiqi Wang Wei Ren Shiyuan Feng Shiqin Liu Yi Ren School of Computer Science China University of Geosciences Wuhan China Henan Key Laboratory of Network Cryptography Technology Zhengzhou China Key Laboratory of Network Assessment Technology CAS Institute of Information Engineering Chinese Academy of Sciences Beijing China School of Computing Science University of East Anglia Norwich U.K
The widespread and mature application of deep learning technology on human behavior analysis leads to the possibility that the Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) may n... 详细信息
来源: 评论
A dual-channel deep learning approach to continuous prediction of acute kidney injury in the intensive care unit
A dual-channel deep learning approach to continuous predicti...
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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Xuetong Kong Peng Zhang Yunchao Ling Daqing Lv Jun Xu Guoqing Zhang Key Laboratory of Systems Health Science of Zhejiang Province School of Life Science Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou China CAS Key Laboratory of Computational Biology Bio-Med Big Data Center Shanghai Institute of Nutrition and Health University of Chinese Academy of Sciences Chinese Academy of Sciences Shanghai China Shanghai Southgene Technology Co. Ltd Shanghai China Shanghai Sixth People’s Hospital Shanghai China CAS Key Laboratory of Computational Biology Bio-Med Big Data Center Shanghai Institute of Nutrition and Health University of Chinese Academy of Sciences Chinese Academy of Sciences. Shanghai Sixth People’s Hospital Shanghai China
Acute Kidney Injury (AKI) often occurs in the intensive care units (ICU), where it is associated with high morbidity and mortality. Early and continuous prediction of AKI plays a crucial role in preventing AKI events,...
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Strong quantum nonlocality without entanglement in multipartite quantum systems
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Physical Review A 2020年 第4期102卷 042228-042228页
作者: Pei Yuan Guojing Tian Xiaoming Sun CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences 100190 Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing 100049 China CAS Center of Excellence in Topological Quantum Computation Beijing 100049 China
In this paper, we generalize the concept of strong quantum nonlocality from two aspects. First, in a tripartite quantum system, we present a construction of strongly nonlocal quantum states containing 6(d−1)2 orthogon... 详细信息
来源: 评论
Content-Noise Feature Fusion Neural network for Image Denoising in Magnetic Particle Imaging∗
Content-Noise Feature Fusion Neural Network for Image Denois...
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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
作者: Tan Wang Liwen Zhang Zechen Wei Yusong Shen Jie Tian Hui Hui CAS Key Laboratory of Molecular Imaging Institute of Automation Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China Beijing Key Laboratory of Molecular Imaging Beijing China School of Computer Science and Engineering Southeast University Nanjing China Ministry of Industry and Information Technology of the People’s Republic of China Key Laboratory of Big Data-Based Precision Medicine (Beihang University) Beijing People’s Republic of China
Magnetic particle imaging (MPI) is a tomographic imaging method that quantitatively determines the distribution of magnetic nanoparticles (MNPs). However, the performance of MPI is primarily limited by the noise in th...
来源: 评论
TraCemop: Towards Federated Learning with Traceable Contribution Evaluation and Model Ownership Protection
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IEEE Transactions on Mobile computing 2025年
作者: Liu, Jingwei Zhou, Zihan Sun, Rong Liu, Lei Lu, Rongxing Dustdar, Schahram Niyato, Dusit Ministry of Education Engineering Research Center of Blockchain Technology Application and Evaluation China Xidian University Shaanxi Key Laboratory of Blockchain and Secure Computing Xi'an710071 China Xidian University State Key Laboratory of Integrated Services Networks Xi'an710071 China Xidian University Guangzhou Institute of Technology Guangzhou510555 China Key Laboratory of Computing Power Network and Information Security Ministry of Education Jinan250014 China Queen's University School of Computing KingstonONK7L 2N8 Canada TU Wien Distributed Systems Group Austria UPF ICREA Barcelona Spain Nanyang Technological University School of Computer Science and Engineering Singapore
Federated Learning (FL) allows multiple clients to collaboratively train machine learning models without the need to share their local private data. As a result, it can effectively address the issue of data fragmentat... 详细信息
来源: 评论
Modeling topical relevance for multi-turn dialogue generation
arXiv
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arXiv 2020年
作者: Zhang, Hainan Lan, Yanyan Pang, Liang Chen, Hongshen Ding, Zhuoye Yin, Dawei CAS Key Lab of Network Data Science and Technology Institute of Computing Technology CAS China *** Beijing China University of Chinese Academy of Sciences China
Topic drift is a common phenomenon in multi-turn dialogue. Therefore, an ideal dialogue generation models should be able to capture the topic information of each context, detect the relevant context, and produce appro... 详细信息
来源: 评论
Multi-scale Contrastive Learning for Gastroenteroscopy Classification
Multi-scale Contrastive Learning for Gastroenteroscopy Class...
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Annual IEEE Symposium on Computer-Based Medical Systems
作者: Dan Li Xuechen Li Zhibin Peng Wenting Chen Linlin Shen Guangyao Wu Computer Vision Institute School of Computer Science & Software Engineering Shenzhen University National Engineering Laboratory for Big Data System Computing Technology ShenZhen University Shenzhen China City University of Hong Kong Hong Kong SAR China Shenzhen Institute of Artificial Intelligence & Robotics for Society Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University General Hospital
In gastroenteroscopy image analysis, numerous CADs demonstrate that deep learning aids doctors' diagnosis. The shapes and sizes of the lesions are varied. And in the clinic, the dataset appears to be data imbalanc...
来源: 评论
Local Global Relational network for Facial Action Units Recognition
Local Global Relational Network for Facial Action Units Reco...
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International Conference on Automatic Face and Gesture Recognition
作者: Xuri Ge Pengcheng Wan Hu Han Joemon M. Jose Zhilong Ji Zhongqin Wu Xiao Liu School of Computing Science University of Glasgow UK TAL Education Group Beijing China Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing China
Many existing facial action units (AUs) recognition approaches often enhance the AU representation by combining local features from multiple independent branches, each corresponding to a different AU. However, such mu... 详细信息
来源: 评论
Graph convolutional networks using heat kernel for semi-supervised learning
arXiv
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arXiv 2020年
作者: Xu, Bingbing Shen, Huawei Cao, Qi Cen, Keting Cheng, Xueqi CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China
Graph convolutional networks gain remarkable success in semi-supervised learning on graph-structured data. The key to graph-based semi-supervised learning is capturing the smoothness of labels or features over nodes e... 详细信息
来源: 评论