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481-490 订阅
排序:
A key-phrase Extraction Method Based on Multi-size Convolution Windows for Scientific Literatures
A Key-phrase Extraction Method Based on Multi-size Convoluti...
收藏 引用
IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)
作者: Yuhong Zhang Yuxin Xie Peipei Li Xuegang Hu Ministry of Education Ministry of Education Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology) Hefei Hefei University of Technology Hefei China
The key-phrase extraction is important for the downstream tasks in natural language process, and has attracted a lot of attention. Compared with other documents, scientific literatures contain many long phrases. Most ... 详细信息
来源: 评论
Multiagent Q-Learning for Multicrew Dynamic Scheduling and Routing in Road Network Restoration
Multiagent Q-Learning for Multicrew Dynamic Scheduling and R...
收藏 引用
Chinese Control and Decision Conference, CCDC
作者: Yufeng Shen Lianqi Duan Qianshun Zhu Zhaopin Su Guofu Zhang School of Computer Science and Information Engineering Hefei University of Technology Hefei 230601 School of Computer Science and Information Engineering Hefei University of Technology Hefei Key Laboratory of Knowledge Engineering with Big Data (Hefei University of Technology) Ministry of Education Hefei Intelligent Interconnected Systems Laboratory of Anhui Province (Hefei University of Technology) Hefei Anhui Province Key Laboratory of Industry Safety and Emergency Technology (Hefei University of Technology) Heifei
Road network restoration is an important issue in the post-disaster disposal and rescue, especially when extraordinarily serious natural disasters (e.g., floods and earthquakes) occur. Central to this endeavour is the... 详细信息
来源: 评论
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective
arXiv
收藏 引用
arXiv 2022年
作者: Zhao, Yunrui Xu, Qianqian Jiang, Yangbangyan Wen, Peisong Huang, Qingming School of Computer Science and Technology University of Chinese Academy of Sciences China Key Laboratory of Intelligent Information Processing Institute of Computing Technology CAS China State Key Laboratory of Information Security Institute of Information Engineering CAS China School of Cyber Security University of Chinese Academy of Sciences China Key Laboratory of Big Data Mining and Knowledge Management University of Chinese Academy of Sciences China
Positive-Unlabeled (PU) learning tries to learn binary classifiers from a few labeled positive examples with many unlabeled ones. Compared with ordinary semi-supervised learning, this task is much more challenging due... 详细信息
来源: 评论
PSSL: Self-supervised learning for personalized search with contrastive sampling
arXiv
收藏 引用
arXiv 2021年
作者: Zhou, Yujia Dou, Zhicheng Zhu, Yutao Wen, Ji-Rong Gaoling School of Artificial Intelligence Renmin University of China School of Information Renmin University of China Université de Montréal MontréalQC Canada Beijing Key Laboratory of Big Data Management and Analysis Methods Key Laboratory of Data Engineering and Knowledge Engineering MOE
Personalized search plays a crucial role in improving user search experience owing to its ability to build user profiles based on historical behaviors. Previous studies have made great progress in extracting personal ... 详细信息
来源: 评论
One chatbot per person: Creating personalized chatbots based on implicit user profiles
arXiv
收藏 引用
arXiv 2021年
作者: Ma, Zhengyi Dou, Zhicheng Zhu, Yutao Zhong, Hanxun Wen, Ji-Rong Gaoling School of Artificial Intelligence Renmin University of China School of Information Renmin University of China Beijing Key Laboratory of Big Data Management and Analysis Methods Key Laboratory of Data Engineering and Knowledge Engineering MOE Université de Montréal MontréalQC Canada
Personalized chatbots focus on endowing chatbots with a consistent personality to behave like real users, give more informative responses, and further act as personal assistants. Existing personalized approaches tried... 详细信息
来源: 评论
Learning Representations from Local to Global for Fine-grained Patient Similarity Measuring in Intensive Care Unit
Learning Representations from Local to Global for Fine-grain...
收藏 引用
IEEE International Conference on data Mining (ICDM)
作者: Xianli Zhang Buyue Qian Yang Li Zeyu Gao Chong Guan Renzhen Wang Yefeng Zheng Hansen Zheng Chen Li School of Computer Science and Technology Xi’an Jiaotong University Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering Beijing Chaoyang Hospital Capital Medical University Tencent Shenzhen Guandong China School of Mathematics and Statistics Xi’an Shaanxi China
Patient similarity measurement is an essential step in discovering clinically meaningful subgroups and building case retrieval systems. Most existing studies implement this procedure using similarity measurement algor... 详细信息
来源: 评论
A deep learning system for predicting time to progression of diabetic retinopathy
收藏 引用
NATURE MEDICINE 2024年 第2期30卷 358-359页
作者: [Anonymous] Shanghai Belt and Road International Joint Laboratory for Intelligent Prevention and Treatment of Metabolic Disorders Department of Computer Science and Engineering School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Department of Endocrinology and Metabolism Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai Diabetes Institute Shanghai Clinical Center for Diabetes Shanghai China MOE Key Laboratory of AI School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Department of Ophthalmology Huadong Sanatorium Wuxi China Department of Ophthalmology Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China Department of Ophthalmology and Visual Sciences The Chinese University of Hong Kong Hong Kong China Singapore Eye Research Institute Singapore National Eye Centre Singapore Singapore Department of Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong China Department of Chemical and Biological Engineering The Hong Kong University of Science and Technology Hong Kong China State Key Laboratory of Ophthalmology Zhongshan Ophthalmic Center Sun Yat-sen University Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science Guangzhou China Department of Ophthalmology Peking Union Medical College Hospital Peking Union Medical College Chinese Academy of Medical Sciences Beijing China Medical Records and Statistics Office Shanghai Sixth People’s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China Department of Geriatrics Tongji Hospital Tongji Medical College Huazhong University of Science and Technology Wuhan China National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Tech
We developed and validated a deep learning system (termed DeepDR Plus) in a diverse, multiethnic, multi-country dataset to predict personalized risk and time to progression of diabetic retinopathy. We show that DeepDR... 详细信息
来源: 评论
Intervention Prediction for Patients with Pressure Injury Using Random Forest  12
Intervention Prediction for Patients with Pressure Injury Us...
收藏 引用
12th IEEE International Conference on Big knowledge, ICBK 2021
作者: Jin, Liuqi Pan, Yan Yang, Jiaoyun Han, Lin Lv, Lin Raviv, Miki An, Ning Hefei University of Technology Key Laboratory of Knowledge Engineering With Big Data of The Ministry of Education School of Computer Science and Information Engineering Hefei China Lanzhou University Evidence-Based Nursing Center School of Nursing Lanzhou China Wound and Ostomy Care Center Gansu Provincal Hospital Lanzhou China Vitalerter LTD Ha-Yarden Airport City Israel
Pressure injury (PI) is one of the major causes of short-term death. Early intervention for patients at risk plays an essential role in PI. However, many nurses may ignore risks. This paper aims to establish a model t... 详细信息
来源: 评论
Quaternion factorization machines: A lightweight solution to intricate feature interaction modelling
arXiv
收藏 引用
arXiv 2021年
作者: Chen, Tong Yin, Hongzhi Zhang, Xiangliang Huang, Zi Wang, Yang Wang, Meng The School of Information Technology and Electrical Engineering The University of Queensland Australia The Machine Intelligence and Knowledge Engineering Laboratory King Abdullah University of Science and Technology Saudi Arabia The Key Laboratory of Knowledge Engineering with Big Data Ministry of Education School of Computer Science and Information Engineering Hefei University of Technology China
Due to the sparsity of available features in web-scale predictive analytics, combinatorial features become a crucial means for deriving accurate predictions. As a well-established approach, factorization machine (FM) ... 详细信息
来源: 评论
Contrastive Learning for Robust Android Malware Familial Classification
收藏 引用
IEEE Transactions on Dependable and Secure Computing 2022年 1-14页
作者: Wu, Yueming Dou, Shihan Zou, Deqing Yang, Wei Qiang, Weizhong Jin, Hai National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan China Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai China University of Texas at Dallas Dallas USA National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China
Due to its open-source nature, Android operating system has been the main target of attackers to exploit. Malware creators always perform different code obfuscations on their apps to hide malicious activities. Feature... 详细信息
来源: 评论