咨询与建议

限定检索结果

文献类型

  • 630 篇 会议
  • 526 篇 期刊文献
  • 3 册 图书

馆藏范围

  • 1,159 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 728 篇 工学
    • 557 篇 计算机科学与技术...
    • 460 篇 软件工程
    • 180 篇 信息与通信工程
    • 74 篇 控制科学与工程
    • 73 篇 生物工程
    • 72 篇 电气工程
    • 58 篇 电子科学与技术(可...
    • 40 篇 机械工程
    • 37 篇 化学工程与技术
    • 37 篇 生物医学工程(可授...
    • 35 篇 光学工程
    • 32 篇 仪器科学与技术
    • 28 篇 动力工程及工程热...
    • 23 篇 建筑学
    • 22 篇 网络空间安全
    • 21 篇 材料科学与工程(可...
    • 19 篇 交通运输工程
  • 323 篇 理学
    • 171 篇 数学
    • 80 篇 生物学
    • 77 篇 物理学
    • 52 篇 统计学(可授理学、...
    • 42 篇 化学
    • 21 篇 系统科学
  • 295 篇 管理学
    • 172 篇 图书情报与档案管...
    • 148 篇 管理科学与工程(可...
    • 49 篇 工商管理
  • 48 篇 医学
    • 41 篇 临床医学
    • 32 篇 基础医学(可授医学...
  • 44 篇 法学
    • 38 篇 社会学
  • 20 篇 经济学
    • 20 篇 应用经济学
  • 8 篇 教育学
  • 8 篇 农学
  • 5 篇 文学
  • 2 篇 军事学
  • 1 篇 艺术学

主题

  • 55 篇 semantics
  • 34 篇 data mining
  • 33 篇 knowledge engine...
  • 33 篇 training
  • 26 篇 feature extracti...
  • 22 篇 computational mo...
  • 20 篇 laboratories
  • 19 篇 big data
  • 19 篇 information retr...
  • 19 篇 data models
  • 18 篇 conferences
  • 17 篇 task analysis
  • 17 篇 data engineering
  • 17 篇 machine learning
  • 16 篇 deep learning
  • 16 篇 xml
  • 16 篇 databases
  • 15 篇 visualization
  • 14 篇 knowledge manage...
  • 14 篇 knowledge graph

机构

  • 150 篇 school of inform...
  • 104 篇 school of comput...
  • 51 篇 key laboratory o...
  • 48 篇 key laboratory o...
  • 39 篇 school of cyber ...
  • 32 篇 school of comput...
  • 31 篇 jiangxi key labo...
  • 31 篇 school of inform...
  • 30 篇 key laboratory o...
  • 29 篇 college of compu...
  • 28 篇 key laboratory o...
  • 27 篇 national enginee...
  • 26 篇 hubei key labora...
  • 26 篇 hubei engineerin...
  • 24 篇 key laboratory o...
  • 24 篇 services computi...
  • 24 篇 cluster and grid...
  • 23 篇 key laboratory o...
  • 22 篇 sjtu-pinghu inst...
  • 22 篇 key laboratory o...

作者

  • 47 篇 chen hong
  • 34 篇 wu xindong
  • 34 篇 du xiaoyong
  • 31 篇 wang meng
  • 29 篇 li cuiping
  • 29 篇 jin hai
  • 28 篇 zhang jing
  • 27 篇 xiaoyong du
  • 26 篇 wang shan
  • 25 篇 xindong wu
  • 23 篇 sun geng
  • 23 篇 hong chen
  • 22 篇 hai jin
  • 21 篇 niyato dusit
  • 19 篇 hong richang
  • 18 篇 chen jianping
  • 18 篇 liu jun
  • 18 篇 hu shengshan
  • 18 篇 huang qingming
  • 17 篇 meng wang

语言

  • 1,069 篇 英文
  • 61 篇 其他
  • 29 篇 中文
检索条件"机构=Key Laboratory of Data Engineering and Knowledge Services"
1159 条 记 录,以下是541-550 订阅
排序:
Image Manipulation Detection by Multi-View Multi-Scale Supervision
Image Manipulation Detection by Multi-View Multi-Scale Super...
收藏 引用
International Conference on Computer Vision (ICCV)
作者: Xinru Chen Chengbo Dong Jiaqi Ji Juan Cao Xirong Li MoE Key Lab of Data Engineering and Knowledge Engineering Renmin University of China AIMC Lab School of Information Renmin University of China Institute of Computing Technology Chinese Academy of Sciences State Key Laboratory of Media Convergence Production Technology and Systems
The key challenge of image manipulation detection is how to learn generalizable features that are sensitive to manipulations in novel data, whilst specific to prevent false alarms on authentic images. Current research... 详细信息
来源: 评论
Web Log Analysis in Genealogy System
Web Log Analysis in Genealogy System
收藏 引用
IEEE International Conference on Big knowledge (ICBK)
作者: Xiaojian Liu Yi Zhu Shengwei Ji Ministry of Education Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology) China
A large amount of log data is generated every moment in many real-world applications. System logs, mobile application logs, web logs etc., all of which contain rich information and can be analyzed for valuable informa... 详细信息
来源: 评论
Rule-enhanced Noisy knowledge Graph Embedding via Low-quality Error Detection
Rule-enhanced Noisy Knowledge Graph Embedding via Low-qualit...
收藏 引用
IEEE International Conference on Big knowledge (ICBK)
作者: Yan Hong Chenyang Bu Tingting Jiang Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology) Ministry of Education China
knowledge graphs (KGs) have been widely applied in many fields such as recommendation systems and knowledge reasoning. Embedding KGs into a continuous vector space has quickly gained significant attention. However, mo... 详细信息
来源: 评论
Automatically Labeling Aging Scenarios with a Machine Learning Approach  1
收藏 引用
24th International Conference on Human-Computer Interaction, HCII 2022
作者: An, Ning Xu, Yang Gao, Qinglin Zhu, Wenjie Wu, Aoran Chen, Honglin School of Computer Science and Information Engineering Hefei University of Technology Hefei China Key Laboratory of Knowledge Engineering with Big Data of Ministry of Education Hefei University of Technology Hefei China National Smart Eldercare International S&T Cooperation Base Hefei University of Technology Hefei China Intelligent Interconnected Systems Laboratory of Anhui Province Hefei University of Technology Hefei China Shanghai Tianyu Senior Living Service Co. Ltd. Shanghai China School of Basic Courses Bengbu Medical College Bengbu China Management and Business Department Skidmore College Saratoga SpringsNY United States Department of Social Sciences University of Eastern Finland Kuopio70150 Finland
Older adults have diversified needs often associated with particular aging scenarios. People started to use aging scenarios to provide better Smart Eldercare services and develop innovative solutions. The problem is h... 详细信息
来源: 评论
An Abnormal data Analysis and Processing Method for Genealogy Graph databases
An Abnormal Data Analysis and Processing Method for Genealog...
收藏 引用
IEEE International Conference on Big knowledge (ICBK)
作者: Jianxuan Shao Guliu Liu Shengwei Ji Ministry of Education Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology) China
Large amounts of data are generated continually in the real world. The objects in the data and the relationships between them have become increasingly complex. Graph is a powerful tool for representing these data and ... 详细信息
来源: 评论
Semimetal Contacts to Monolayer Semiconductor: Weak Metalization as an Effective Mechanism to Schottky Barrier Lowering
arXiv
收藏 引用
arXiv 2022年
作者: Su, Tong Li, Yueyan Wang, Qianqian Zhao, Weiwei Cao, Liemao Ang, Yee Sin Sauvage Laboratory for Smart Materials School of Materials Science and Engineering Harbin Institute of Technology Shenzhen518055 China Shenzhen Key Laboratory of Flexible Printed Electronics Technology Harbin Institute of Technology Shenzhen518055 China Science Mathematics and Technology Singapore University of Technology and Design Singapore487372 Singapore School of Information Management Nanjing University Nanjing210023 China Jiangsu Key Laboratory of Data Engineering and Knowledge Service Nanjing210023 China College of Physics and Electronic Engineering Hengyang Normal University Hengyang421002 China
Recent experiment has uncovered semimetal bismuth (Bi) as an excellent electrical contact to monolayer MoS2 with ultralow contact resistance. The contact physics of the broader semimetal/monolayer-semiconductor family... 详细信息
来源: 评论
An integrated classification model for massive short texts with few words  19
An integrated classification model for massive short texts w...
收藏 引用
2019 International Conference on Robotics Systems and Vehicle Technology, RSVT 2019
作者: Tang, Xuetao Zhu, Yi Hu, Xuegang Li, Peipei Key Laboratory of Knowledge Engineering with Big Data Ministry of Education Hefei University of Technology China
The excellent performance of short texts classification has emerged in the past few years. However, massive short texts with few words like invoice data are different with traditional short texts like tweets in its no... 详细信息
来源: 评论
Unsupervised vehicle re-identification with progressive adaptation  29
Unsupervised vehicle re-identification with progressive adap...
收藏 引用
29th International Joint Conference on Artificial Intelligence, IJCAI 2020
作者: Peng, Jinjia Wang, Yang Wang, Huibing Zhang, Zhao Fu, Xianping Wang, Meng College of Information and Science Technology Dalian Maritime University Liaoning Dalian China Pengcheng Laboratory Shenzhen Guangdong China Key Laboratory of Knowledge Engineering with Big Data Ministry of Education Hefei University of Technology China School of Computer Science and Information Engineering Hefei University of Technology China
Vehicle re-identification (reID) aims at identifying vehicles across different non-overlapping cameras views. The existing methods heavily relied on well-labeled datasets for ideal performance, which inevitably causes... 详细信息
来源: 评论
Personalized Recommendation Based On Entity Attributes and Graph Features
Personalized Recommendation Based On Entity Attributes and G...
收藏 引用
IEEE International Conference on Big knowledge (ICBK)
作者: Yi Zhu Bingbing Dong Zhiqing Sha School of Information Engineering Yangzhou University Yangzhou China Ministry of Education Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology) China School of Computer Science and Information Engineering Hefei University of Technology Hefei China Instituse of Big Knowledge Science Hefei University of Technology Hefei China
With the rapid increase in the amount of website data, it has been a more difficult task for users to get the infor-mation they are interested in. Personalized recommendation is an important bridge to find the informa... 详细信息
来源: 评论
Order-preserving pattern mining with forgetting mechanism
arXiv
收藏 引用
arXiv 2024年
作者: Li, Yan Ma, Chenyu Gao, Rong Wu, Youxi Li, Jinyan Wang, Wenjian Wu, Xindong School of Economics and Management Hebei University of Technology Tianjin300400 China School of Artificial Intelligence Hebei University of Technology Tianjin300400 China School of Computer Science and Control Engineering Shenzhen University of Advanced Technology Shenzhen518055 China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China School of Computer and Information Technology Shanxi University Taiyuan237016 China Key Laboratory of Knowledge Engineering with Big Data The Ministry of Education of China Hefei University of Technology Hefei230009 China
Order-preserving pattern (OPP) mining is a type of sequential pattern mining method in which a group of ranks of time series is used to represent an OPP. This approach can discover frequent trends in time series. Exis... 详细信息
来源: 评论