咨询与建议

限定检索结果

文献类型

  • 39 篇 期刊文献
  • 15 篇 会议

馆藏范围

  • 54 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 40 篇 工学
    • 29 篇 计算机科学与技术...
    • 27 篇 软件工程
    • 6 篇 生物工程
    • 4 篇 化学工程与技术
    • 3 篇 光学工程
    • 2 篇 机械工程
    • 2 篇 电气工程
    • 2 篇 信息与通信工程
    • 2 篇 生物医学工程(可授...
    • 1 篇 材料科学与工程(可...
    • 1 篇 建筑学
    • 1 篇 土木工程
    • 1 篇 水利工程
    • 1 篇 测绘科学与技术
    • 1 篇 环境科学与工程(可...
    • 1 篇 城乡规划学
  • 26 篇 理学
    • 9 篇 数学
    • 8 篇 生物学
    • 5 篇 化学
    • 4 篇 物理学
    • 3 篇 统计学(可授理学、...
    • 1 篇 地理学
    • 1 篇 大气科学
    • 1 篇 地球物理学
  • 11 篇 管理学
    • 6 篇 管理科学与工程(可...
    • 6 篇 图书情报与档案管...
    • 1 篇 工商管理
  • 2 篇 经济学
    • 2 篇 应用经济学
  • 1 篇 法学
    • 1 篇 社会学
  • 1 篇 农学
  • 1 篇 医学
    • 1 篇 公共卫生与预防医...

主题

  • 4 篇 semantics
  • 3 篇 graph neural net...
  • 3 篇 forecasting
  • 2 篇 object detection
  • 2 篇 deep learning
  • 2 篇 annotations
  • 2 篇 benchmarking
  • 2 篇 extraction
  • 2 篇 pathology
  • 1 篇 internet of thin...
  • 1 篇 covid-19
  • 1 篇 learning systems
  • 1 篇 nonconvex square...
  • 1 篇 computer aided d...
  • 1 篇 cancer
  • 1 篇 textbooks
  • 1 篇 distillation
  • 1 篇 visual analytics
  • 1 篇 screening design
  • 1 篇 cyberattack

机构

  • 6 篇 lenovo research
  • 5 篇 school of comput...
  • 4 篇 leeds institute ...
  • 4 篇 center for psych...
  • 4 篇 department of in...
  • 4 篇 institute for pa...
  • 4 篇 department of st...
  • 4 篇 university of pi...
  • 4 篇 arnie charbonnea...
  • 4 篇 ilsbio llc bioba...
  • 4 篇 department of mo...
  • 4 篇 department of bi...
  • 4 篇 faculty of biosc...
  • 4 篇 osaka internatio...
  • 4 篇 tri-institutiona...
  • 4 篇 research departm...
  • 4 篇 department of ve...
  • 4 篇 royal stoke univ...
  • 4 篇 biomedical engin...
  • 4 篇 department of ex...

作者

  • 12 篇 liu jun
  • 8 篇 zhang lingling
  • 6 篇 zhao tianzhe
  • 5 篇 lin qika
  • 5 篇 pan yudai
  • 4 篇 yang shusen
  • 4 篇 wang qianying
  • 4 篇 zheng qinghua
  • 4 篇 tian feng
  • 4 篇 xu fangzhi
  • 3 篇 xu zongben
  • 3 篇 li xunkai
  • 3 篇 li chen
  • 3 篇 chen li
  • 3 篇 chen ping
  • 3 篇 su daohan
  • 3 篇 wang guoren
  • 3 篇 wu zhengyu
  • 3 篇 wu yaqiang
  • 3 篇 shusen yang

语言

  • 50 篇 英文
  • 4 篇 其他
检索条件"机构=National Engineering Laboratory for Big Data Algorithms and Analytics Technology"
54 条 记 录,以下是31-40 订阅
排序:
MoCA: Incorporating multi-stage domain pretraining and cross-guided multimodal attention for Textbook Question Answering
arXiv
收藏 引用
arXiv 2021年
作者: Xu, Fangzhi Lin, Qika Liu, Jun Zhang, Lingling Zhao, Tianzhe Chai, Qi Pan, Yudai Department of Computer Science and Technology Xi'an Jiaotong University China National Engineering Lab for Big Data Analytics Xi'an Jiaotong University China Shaanxi Province Key Laboratory of Satellite and Terrestrial Network Tech. R&D Xi'an Jiaotong University China
Textbook Question Answering (TQA) is a complex multimodal task to infer answers given large context descriptions and abundant diagrams. Compared with Visual Question Answering(VQA), TQA contains a large number of unco... 详细信息
来源: 评论
Context-Aware Feature Attention Model for Coreference Resolution on Biomedical Texts
Research Square
收藏 引用
Research Square 2021年
作者: Li, Yufei Zhou, Xiangyu Ma, Jie Ma, Xiaoyong Li, Chen School of Computer Science and Technology Xi’an Jiaotong University Shaanxi Xi’an China National Engineering Lab for Big Data Analytics Xi’an Jiaotong University Shaanxi Xi’an China Shaanxi Province Key Laboratory of Satellite and Terrestrial Network Technology Research and Development Xi’an Jiaotong University Shaanxi Xi’an China
Background: Bio-entity Coreference resolution is an important task to gain a complete understanding of biomedical texts automatically. Previous neural network-based studies on this topic are domain system based method... 详细信息
来源: 评论
Federated dynamic neural network for deep MIMO detection
arXiv
收藏 引用
arXiv 2021年
作者: Yang, Yuwen Gao, Feifei Xue, Jiang Zhou, Ting Xu, Zongben Department of Automation Tsinghua University Beijing100084 China The National Engineering Laboratory for Big Data Analytics Xi'an International Academy for Mathematics and Mathematical Technology School of Mathematics and Statistics Xi'an Jiaotong University Xi'an710049 China The Shanghai Advanced Research Institute CAS Shanghai Frontier Innovation and Research Institute Shanghai201210 China
In this paper, we develop a dynamic detection network (DDNet) based detector for multiple-input multiple-output (MIMO) systems. By constructing an improved DetNet (IDetNet) detector and the OAMPNet detector as two ind... 详细信息
来源: 评论
An automated workflow for integrating environmental sustainability assessment into parametric part design through standard reference models
收藏 引用
Procedia CIRP 2020年 90卷 102-108页
作者: William Z. Bernstein Melissa Tensa Maxwell Praniewicz Soonjo Kwon Devarajan Ramanujan Engineering Laboratory National Institute of Standards and Technology MD USA School of Mechanical Industrial and Manufacturing Engineering Oregon State University OR USA George W. Woodruff School of Mechanical Engineering Georgia Institute of Technology Atlanta GR USA Associate Engineering Laboratory National Institute of Standards and Technology MD USA Korea Advanced Institute of Science and Technology Daejeon Republic of Korea Mechanical Engineering Section & Center for Digitalization Big Data and Data Analytics Aarhus University Aarhus 8000 Denmark
Integrating environmental sustainability assessment into parametric design presents an opportunity for enabling sustainable product design. However, this is a challenging task as quantitative methods for sustainabilit... 详细信息
来源: 评论
Weakly supervised learning for textbook question answering
TechRxiv
收藏 引用
TechRxiv 2021年
作者: Ma, Jie Chai, Qi Huang, Jingyue Liu, Jun You, Yang Zheng, Qinghua National Engineering Lab for Big Data Analytics School of Computer Science and Technology Xi’an Jiaotong University Shaanxi Xi’an710049 China Shaanxi Province Key Laboratory of Satellite and Terrestrial Network Tech. R&D School of Computer Science and Technology Xi’an Jiaotong University Shaanxi Xi’an710049 China The High Performance Computing for Artificial intelligence Lab Department of Computer Science National University of Singapore 117417 Singapore
Textbook Question Answering (TQA) is the task of answering diagram and non-diagram questions given large multimodal contexts consisting of abundant text and diagrams. Deep text understandings and effective learning of... 详细信息
来源: 评论
An integrated GIS-based multivariate adaptive regression splines-cat swarm optimization for improving the accuracy of wildfire susceptibility mapping
收藏 引用
Geocarto International 2023年 第1期38卷
作者: Hai, Tao Theruvil Sayed, Biju Majdi, Ali Zhou, Jincheng Sagban, Rafid Band, Shahab S. Mosavi, Amir School of Computer and Information Qiannan Normal University for Nationalities Guizhou Duyun China Key Laboratory of Complex Systems and Intelligent Optimization of Guizhou Guizhou Duyun China Institute for Big Data Analytics and Artificial Intelligence (IBDAAI) Universiti Teknologi MARA Selangor Shah Alam Malaysia Department of Computer Science Dhofar University Salalah Oman Department of Building and Construction Technologies Engineering Al-Mustaqbal University College Hilla Iraq Department of Computer Technology Engineering Technical Engineering College Al-Ayen University Thi-Qar Iraq Future Technology Research Center National Yunlin University of Science and Technology Yunlin Douliou Taiwan John von Neumann Faculty of Informatics Obuda University Budapest Hungary German Research Center for Artificial Intelligence Oldenburg Germany Institute of the Information Society University of Public Service Budapest Hungary
A hybrid machine learning method is proposed for wildfire susceptibility mapping. For modeling a geographical information system (GIS) database including 11 influencing factors and 262 fire locations from 2013 to 2018... 详细信息
来源: 评论
Meta Mask Correction for Nuclei Segmentation in Histopathological Image
Meta Mask Correction for Nuclei Segmentation in Histopatholo...
收藏 引用
IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
作者: Jiangbo Shi Chang Jia Zeyu Gao Tieliang Gong Chunbao Wang Chen Li National Engineering Lab for Big Data Analytics Xi’an Jiao tong University Xi’an Shaanxi China School of Computer Science and Technology Xi’an Jiao tong University Xi’an Shaanxi China Shaanxi Province Key Laboratory of Satellite and Terrestrial Network Tech.R&D Xi’an Jiao tong University Xi’an Shaanxi China the First Affiliated Hospital of Xi’an Jiaotong University Xi’an Shaanxi China
Nuclei segmentation is a fundamental task in digital pathology analysis and can be automated by deep learning-based methods. However, the development of such an automated method requires a large amount of data with pr... 详细信息
来源: 评论
A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problem
The Journal of Machine Learning Research
收藏 引用
The Journal of Machine Learning Research 2020年 第1期21卷 9253-9290页
作者: Peipei Tang Chengjing Wang Defeng Sun Kim-Chuan Toh School of Computer and Computing Science Zhejiang University City College Hangzhou China School of Mathematics and National Engineering Laboratory of Integrated Transportation Big Data Application Technology Southwest Jiaotong University Chengdu China Department of Applied Mathematics The Hong Kong Polytechnic University Hung Hom Hong Kong Department of Mathematics and Institute of Operations Research and Analytics National University of Singapore Singapore
In this paper, we consider high-dimensional nonconvex square-root-loss regression problems and introduce a proximal majorization-minimization (PMM) algorithm for solving these problems. Our key idea for making the pro... 详细信息
来源: 评论
Meta mask correction for nuclei segmentation in histopathological image
arXiv
收藏 引用
arXiv 2021年
作者: Shi, Jiangbo Jia, Chang Gao, Zeyu Gong, Tieliang Wang, Chunbao Li, Chen National Engineering Lab for Big Data Analytics Xi'an Jiao Tong University Shaanxi Xi'an710049 China School of Computer Science and Technology Xi'an Jiao tong University Shaanxi Xi'an710049 China Shaanxi Province Key Laboratory of Satellite and Terrestrial Network Tech.R&D Xi'an Jiao tong University Shaanxi Xi'an710049 China Department of Pathology The First Affiliated Hospital of Xi'an Jiaotong University Shaanxi Xi'an710061 China
Nuclei segmentation is a fundamental task in digital pathology analysis and can be automated by deep learning-based methods. However, the development of such an automated method requires a large amount of data with pr... 详细信息
来源: 评论
Scientific data Lake for High Luminosity LHC project and other data-intensive particle and astro-particle physics experiments  5
Scientific Data Lake for High Luminosity LHC project and oth...
收藏 引用
5th International Conference on Particle Physics and Astrophysics, ICPPA 2020
作者: Alekseev, A. Kiryanov, A. Klimentov, A. Korchuganova, T. Mitsyn, V. Oleynik, D. Smirnov, A. Smirnov, S. Zarochentsev, A. Compiler Technology Department Ivannikov Institute for System Programming of the Ras Moscow109004 Russia Cloud Technologies and Big Data Analytics Laboratory Plekhanov Russian University of Economics Moscow117997 Russia Atlas Group Universidad Andres Bello Santiago7550196 Chile Department of Computing Resources and Technologies Nrc "kurchatov Institute"-PNPI Gatchina188300 Russia Physics Department Brookhaven National Laboratory UptonNY11973 United States Laboratory of Information Technologies Joint Institute for Nuclear Research Dubna141980 Russia Institute of Nuclear Physics and Engineering National Research Nuclear University MEPhI Moscow115409 Russia Laboratory of Ultra-High Energy Physics Saint Petersburg State University Saint Petersburg198504 Russia
The next phase of LHC Operations-High Luminosity LHC (HL-LHC), which is aimed at ten-fold increase in the luminosity of proton-proton collisions at the energy of 14 TeV, is expected to start operation in 2027-2028 and... 详细信息
来源: 评论