咨询与建议

限定检索结果

文献类型

  • 1,989 篇 期刊文献
  • 1,819 篇 会议

馆藏范围

  • 3,808 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 2,552 篇 工学
    • 1,852 篇 计算机科学与技术...
    • 1,571 篇 软件工程
    • 639 篇 信息与通信工程
    • 358 篇 电气工程
    • 337 篇 生物工程
    • 297 篇 控制科学与工程
    • 222 篇 电子科学与技术(可...
    • 209 篇 光学工程
    • 209 篇 生物医学工程(可授...
    • 169 篇 机械工程
    • 134 篇 化学工程与技术
    • 121 篇 交通运输工程
    • 95 篇 仪器科学与技术
    • 85 篇 动力工程及工程热...
    • 82 篇 网络空间安全
    • 77 篇 建筑学
    • 77 篇 安全科学与工程
  • 1,461 篇 理学
    • 805 篇 数学
    • 381 篇 生物学
    • 325 篇 物理学
    • 247 篇 统计学(可授理学、...
    • 147 篇 化学
    • 120 篇 系统科学
  • 712 篇 管理学
    • 415 篇 管理科学与工程(可...
    • 326 篇 图书情报与档案管...
    • 166 篇 工商管理
  • 207 篇 医学
    • 174 篇 临床医学
    • 141 篇 基础医学(可授医学...
    • 88 篇 药学(可授医学、理...
  • 121 篇 法学
    • 96 篇 社会学
  • 72 篇 经济学
  • 48 篇 教育学
  • 45 篇 农学
  • 13 篇 文学
  • 6 篇 军事学
  • 5 篇 艺术学

主题

  • 130 篇 feature extracti...
  • 116 篇 semantics
  • 106 篇 training
  • 103 篇 deep learning
  • 74 篇 computational mo...
  • 61 篇 machine learning
  • 61 篇 data models
  • 60 篇 convolution
  • 53 篇 accuracy
  • 51 篇 predictive model...
  • 50 篇 task analysis
  • 48 篇 federated learni...
  • 47 篇 graph neural net...
  • 44 篇 contrastive lear...
  • 43 篇 reinforcement le...
  • 42 篇 object detection
  • 41 篇 neural networks
  • 41 篇 forecasting
  • 38 篇 data mining
  • 34 篇 optimization

机构

  • 103 篇 school of data a...
  • 68 篇 college of compu...
  • 64 篇 school of comput...
  • 63 篇 peng cheng labor...
  • 60 篇 key laboratory o...
  • 55 篇 school of comput...
  • 52 篇 university of ch...
  • 52 篇 fujian provincia...
  • 51 篇 college of compu...
  • 51 篇 beijing advanced...
  • 46 篇 school of inform...
  • 45 篇 school of comput...
  • 41 篇 national enginee...
  • 36 篇 guangdong key la...
  • 35 篇 school of comput...
  • 35 篇 shenzhen researc...
  • 33 篇 nanyang technolo...
  • 33 篇 school of softwa...
  • 33 篇 school of comput...
  • 33 篇 school of cyber ...

作者

  • 62 篇 niyato dusit
  • 36 篇 chang kuo-chi
  • 35 篇 cheng xueqi
  • 34 篇 zheng wei-shi
  • 30 篇 guo jiafeng
  • 29 篇 xu xiaolong
  • 26 篇 jin hai
  • 25 篇 wu di
  • 25 篇 xiaolong xu
  • 24 篇 zhang rui
  • 24 篇 chu kai-chun
  • 24 篇 wang zhongmin
  • 23 篇 jin xiaolong
  • 23 篇 chen yanping
  • 22 篇 wang guoyin
  • 22 篇 hai jin
  • 21 篇 huang qingming
  • 20 篇 ai bo
  • 19 篇 shen linlin
  • 19 篇 li ming

语言

  • 3,524 篇 英文
  • 240 篇 其他
  • 61 篇 中文
  • 2 篇 葡萄牙文
  • 1 篇 德文
  • 1 篇 法文
检索条件"机构=School of Big Data \& Key Laboratory of Data Science and Intelligent Computing"
3808 条 记 录,以下是3761-3770 订阅
排序:
A novel genetic algorithm for constructing uniform test forms of cognitive diagnostic models
A novel genetic algorithm for constructing uniform test form...
收藏 引用
Congress on Evolutionary Computation
作者: Ye-shi Jiang Ying Lin Jing-Jing Li Zheng-jia Dai Jun Zhang Xinglin Zhang Ministry of Education Key Laboratory of Machine Intelligence - & Sensor Networks P.R. China School of Data & Computer Science Sun Yat-sen University School of Computer Science South China Normal University Department of Psychology Sun Yat-sen University State Key Laboratory of Mathematical Engineering and Advanced Computing School of Comouter Science & Engineering South China University of Technology
Cognitive diagnostic models (CDMs) are a new class of test models developed for educational assessment. They have gained growing attention in recent years for their distinctive ability to provide detailed feedback abo... 详细信息
来源: 评论
Improved protein residue-residue contacts prediction using learning-to-rank
Improved protein residue-residue contacts prediction using l...
收藏 引用
IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Xiaoyang Jing Qiwen Dong School of Computer Science Fudan University Shanghai People's Republic of China Shanghai Key Laboratory of Intelligent Information Processing Shanghai People's Republic of China Key Laboratory of Network Oriented Intelligent Computation Harbin Institute of Technology Shenzhen Graduate School Shenzhen Guangdong People's Republic of China Institute for Data Science and Engineering East China Normal University Shanghai People's Republic of China
Protein residue-residue contacts dictate the topology of protein structure and play an important role in structural biology, especially in de novo protein structure prediction. Accurate prediction of residue contacts ... 详细信息
来源: 评论
No reference video quality assessment based on 3D convolutional neural network
收藏 引用
Ruan Jian Xue Bao/Journal of Software 2016年 27卷 103-112页
作者: Wang, Chun-Feng Su, Li Zhang, Wei-Gang Huang, Qing-Ming Key Laboratory on Big Data Mining and Knowledge Management University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology The Chinese Academy of Sciences Beijing100190 China Weihai264209 China
No reference video quality assessment (NR-VQA) measures distorted videos quantitatively without the reference of original high quality videos. Conventional NR-VQA methods are generally designed for specific types of d... 详细信息
来源: 评论
Enhancing distributed differential evolution with a space-driven topology
Enhancing distributed differential evolution with a space-dr...
收藏 引用
Congress on Evolutionary Computation
作者: Yong-Feng Ge Wei-Jie Yu Jing-Jing Li Zhi-Wen Yu Jun Zhang School of Data and Computer Science Sun Yat-sen University Guangzhou China School of Information Management Sun Yat-sen University Guangzhou China School of Computer South China Normal University Guangzhou China State Key Laboratory of Mathematical Engineering and Advanced Computing China School of Computer Science and Engineering South China University of Technology Guangzhou China
Differential evolution (DE) is a simple and efficient evolutionary algorithm for global optimization. In distributed differential evolution (DDE), the population is divided into several sub-populations and each sub-po... 详细信息
来源: 评论
Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits (vol 50, pg 1412, 2018)
收藏 引用
NATURE GENETICS 2018年 第12期50卷 1755-1755页
作者: Evangelou, Evangelos Warren, Helen R. Mosen-Ansorena, David Mifsud, Borbala Pazoki, Raha Gao, He Ntritsos, Georgios Dimou, Niki Cabrera, Claudia P. Karaman, Ibrahim Fu Liang Ng Evangelou, Marina Witkowska, Katarzyna Tzanis, Evan Hellwege, Jacklyn N. Giri, Ayush Edwards, Digna R. Velez Sun, Yan V. Cho, Kelly Gaziano, J. Michael Wilson, Peter W. F. Tsao, Philip S. Kovesdy, Csaba P. Esko, Tonu Magi, Reedik Milani, Lili Almgren, Peter Boutin, Thibaud Debette, Stephanie Ding, Jun Giulianini, Franco Holliday, Elizabeth G. Jackson, Anne U. Li-Gao, Ruifang Lin, Wei-Yu Luan, Jian'an Mangino, Massimo Oldmeadow, Christopher Prins, Bram Peter Qian, Yong Sargurupremraj, Muralidharan Shah, Nabi Surendran, Praveen Theriault, Sebastien Verweij, Niek Willems, Sara M. Zhao, Jing-Hua Amouyel, Philippe Connell, John de Mutsert, Renee Doney, Alex S. F. Farrall, Martin Menni, Cristina Morris, Andrew D. Noordam, Raymond Pare, Guillaume Poulter, Neil R. Shields, Denis C. Stanton, Alice Thom, Simon Abecasis, Goncalo Amin, Najaf Arking, Dan E. Ayers, Kristin L. Barbieri, Caterina M. Batini, Chiara Bis, Joshua C. Blake, Tineka Bochud, Murielle Boehnke, Michael Boerwinkle, Eric Boomsma, Dorret I. Bottinger, Erwin P. Braund, Peter S. Brumat, Marco Campbell, Archie Campbell, Harry Chakravarti, Aravinda Chambers, John C. Chauhan, Ganesh Ciullo, Marina Cocca, Massimiliano Collins, Francis Cordell, Heather J. Davies, Gail de Borst, Martin H. de Geus, Eco J. Deary, Ian J. Deelen, Joris Del Greco, Fabiola M. Demirkale, Cumhur Yusuf Dorr, Marcus Ehret, Georg B. Elosua, Roberto Enroth, Stefan Erzurumluoglu, A. Mesut Ferreira, Teresa Franberg, Mattias Franco, Oscar H. Gandin, Ilaria Gasparini, Paolo Giedraitis, Vilmantas Gieger, Christian Girotto, Giorgia Goel, Anuj Gow, Alan J. Gudnason, Vilmundur Guo, Xiuqing Gyllensten, Ulf Hamsten, Anders Harris, Tamara B. Harris, Sarah E. Hartman, Catharina A. Havulinna, Aki S. Hicks, Andrew A. Hofer, Edith Hofman, Albert Hottenga, Jouke-Jan Huffman, Jennifer E. Hwang, Shih-Jen Ingelsson, Erik James, Alan Jansen Department of Epidemiology and Biostatistics Imperial College London London UK Department of Hygiene and Epidemiology University of Ioannina Medical School Ioannina Greece William Harvey Research Institute Barts and The London School of Medicine and Dentistry Queen Mary University of London London UK National Institute for Health Research Barts Cardiovascular Biomedical Research Center Queen Mary University of London London UK MRC-PHE Centre for Environment and Health Imperial College London London UK Department of Mathematics Imperial College London London UK Division of Epidemiology Department of Medicine Institute for Medicine and Public Health Vanderbilt Genetics Institute Vanderbilt University Medical Center Tennessee Valley Healthcare System (626)/Vanderbilt University Nashville TN USA Vanderbilt Genetics Institute Vanderbilt Epidemiology Center Department of Obstetrics and Gynecology Vanderbilt University Medical Center Tennessee Valley Health Systems VA Nashville TN USA Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA USA Department of Biomedical Informatics Emory University School of Medicine Atlanta GA USA Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) VA Boston Healthcare System Boston MA USA Division of Aging Department of Medicine Brigham and Women’s Hospital Department of Medicine Harvard Medical School Boston MA USA Atlanta VAMC and Emory Clinical Cardiovascular Research Institute Atlanta GA USA VA Palo Alto Health Care System Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA USA Nephrology Section Memphis VA Medical Center and University of Tennessee Health Science Center Memphis TN USA Estonian Genome Center University of Tartu Tartu Estonia Program in Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA Department Clinical Sciences Malmö Lund University Malmö Sweden MRC Human Genetics Un
High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to dat... 详细信息
来源: 评论
Research on adaptive detection network attacks based on the improved data mining algorithm in cloud computing
收藏 引用
ICIC Express Letters 2016年 第8期10卷 1957-1964页
作者: Song, Guangjun Li, Bo Lu, Xuyang School of Mathematics Physics and Information Science Zhejiang Ocean University No. 1 Haida South Road Lincheng Changzhi Island Zhoushan316022 China Key Laboratory of Oceanographic Big Data Mining and Application of Zhejiang Province Zhejiang Ocean University No. 1 Haida South Road Lincheng Changzhi Island Zhoushan316022 China College of Computer and Control Engineering Qiqihar University No. 42 Wenhua Street Qiqihar161006 China
Network attacks are one of the biggest threats in cloud security. According to the characteristics of network attacks in cloud computing, an improved k-means algorithm to optimize the clustering number k by function i... 详细信息
来源: 评论
Road network modeling with layered abstraction for path discovery in vehicle navigation systems
收藏 引用
Journal of Information Hiding and Multimedia Signal Processing 2016年 第4期7卷 791-801页
作者: Pan, Jeng-Shyang Wang, Chen Sung, Tien-Wen Fuzhou College of Foreign Studies and Trade No. 28 Yuhuan Road Changle Fuzhou CityFujian Province350202 China Innovative Information Industry Research Center Harbin Institute of Technology Shenzhen Graduate School University Town Shenzhen City518055 China College of Information Science and Engineering Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian University of Technology No. 3 Xueyuan Road Fuzhou CityFujian Province350118 China
Algorithms for path planning have recently drawn renewed attention from researchers due to the advances of intelligent transportation applications. The difference on path planning between past and nowadays is the comp... 详细信息
来源: 评论
A MapReduce Optimization Method on Hadoop Cluster
A MapReduce Optimization Method on Hadoop Cluster
收藏 引用
International Conference on Industrial Informatics - computing Technology, intelligent Technology, Industrial Information Integration
作者: Xiaodong Wu Faculty of Mathematics and Computer Science Quanzhou Normal University Fujian Provincial Key Laboratory of Data Intensive Computing Key Laboratory of Intelligent Computing and Information Processing Fujian Province University
The MapReduce parallel and distributed computing framework has been widely applied in both academia and industry. MapReduce applications are divided into two steps: Map and Reduce. Then, the input data is divided into... 详细信息
来源: 评论
Erratum: “Influence of heavy metal materials on magnetic properties of Pt/Co/heavy metal tri-layered structures” [Appl. Phys. Lett. 110, 012405 (2017)]
收藏 引用
Applied Physics Letters 2017年 第10期110卷
作者: Boyu Zhang Anni Cao Junfeng Qiao Minghong Tang Kaihua Cao Xiaoxuan Zhao Sylvain Eimer Zhizhong Si Na Lei Zhaohao Wang Xiaoyang Lin Zongzhi Zhang Mingzhong Wu Weisheng Zhao 1Fert Beijing Research Institute Beihang University Beijing 100191 China 2Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC) Beihang University Beijing 100191 China 3School of Electronic and Information Engineering Beihang University Beijing 100191 China 4Key Laboratory of Micro and Nano Photonic Structures (Ministry of Education) Department of Optical Science and Engineering Fudan University Shanghai 200433 China 5Department of Physics Colorado State University Fort Collins Colorado 80523 USA
The following errors appeared in the above article.1
来源: 评论
Parallel knowledge acquisition algorithm for big data using MapReduce
Parallel knowledge acquisition algorithm for big data using ...
收藏 引用
International Conference on Machine Learning and Cybernetics (ICMLC)
作者: Jin Qian Min Xia Ping Lv Jiangsu Key Laboratory of Big Data Analysis Technology/B-DAT Nanjing University of Information Science & Technology Nanjing China Key Laboratory of Cloud Computing and Intelligent Information Processing of Changzhou City Jiangsu University of Technology Changzhou China
With the rapid growth of data volume, knowledge acquisition for big data has become a new challenge. To address this issue, the hierarchical decision table is defined and implemented in this work. The properties of di... 详细信息
来源: 评论