咨询与建议

限定检索结果

文献类型

  • 596 篇 期刊文献
  • 335 篇 会议

馆藏范围

  • 931 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 580 篇 工学
    • 362 篇 计算机科学与技术...
    • 301 篇 软件工程
    • 115 篇 生物医学工程(可授...
    • 105 篇 生物工程
    • 103 篇 信息与通信工程
    • 92 篇 控制科学与工程
    • 72 篇 电气工程
    • 64 篇 光学工程
    • 45 篇 电子科学与技术(可...
    • 37 篇 机械工程
    • 27 篇 仪器科学与技术
    • 27 篇 材料科学与工程(可...
    • 25 篇 化学工程与技术
    • 15 篇 建筑学
    • 15 篇 交通运输工程
    • 15 篇 安全科学与工程
  • 409 篇 理学
    • 191 篇 数学
    • 164 篇 生物学
    • 85 篇 物理学
    • 50 篇 统计学(可授理学、...
    • 44 篇 系统科学
    • 27 篇 化学
  • 168 篇 管理学
    • 96 篇 管理科学与工程(可...
    • 77 篇 图书情报与档案管...
    • 28 篇 工商管理
  • 146 篇 医学
    • 126 篇 临床医学
    • 72 篇 基础医学(可授医学...
    • 43 篇 药学(可授医学、理...
    • 16 篇 公共卫生与预防医...
  • 22 篇 法学
    • 20 篇 社会学
  • 21 篇 教育学
  • 13 篇 农学
  • 10 篇 经济学
  • 7 篇 文学
  • 3 篇 艺术学
  • 1 篇 历史学
  • 1 篇 军事学

主题

  • 28 篇 electroencephalo...
  • 27 篇 feature extracti...
  • 21 篇 deep learning
  • 21 篇 training
  • 21 篇 multiobjective o...
  • 17 篇 neural networks
  • 16 篇 machine learning
  • 14 篇 reinforcement le...
  • 11 篇 task analysis
  • 11 篇 optimization
  • 11 篇 brain-computer i...
  • 11 篇 evolutionary com...
  • 10 篇 deep neural netw...
  • 10 篇 generative adver...
  • 10 篇 brain modeling
  • 10 篇 clustering algor...
  • 9 篇 object detection
  • 9 篇 three-dimensiona...
  • 9 篇 convolution
  • 9 篇 semantics

机构

  • 98 篇 guangdong provin...
  • 34 篇 institute of sci...
  • 33 篇 department of co...
  • 33 篇 nanhu brain-comp...
  • 24 篇 beijing advanced...
  • 23 篇 southern univers...
  • 23 篇 college of compu...
  • 23 篇 research institu...
  • 22 篇 department of co...
  • 16 篇 shanghai key lab...
  • 16 篇 henan key labora...
  • 15 篇 ji hua laborator...
  • 15 篇 guangdong provin...
  • 14 篇 key laboratory o...
  • 14 篇 research center ...
  • 13 篇 shanghai center ...
  • 13 篇 university of ch...
  • 12 篇 the guangdong pr...
  • 12 篇 school of automa...
  • 12 篇 the state key la...

作者

  • 50 篇 ishibuchi hisao
  • 35 篇 yao xin
  • 33 篇 tang ke
  • 22 篇 pang lie meng
  • 21 篇 liu shengcai
  • 20 篇 shang ke
  • 20 篇 nan yang
  • 18 篇 hisao ishibuchi
  • 18 篇 liu jialin
  • 14 篇 shu tianye
  • 14 篇 yang peng
  • 13 篇 jianfeng feng
  • 13 篇 feng jianfeng
  • 13 篇 xin yao
  • 12 篇 cheng ran
  • 12 篇 zhang junping
  • 12 篇 yang nan
  • 11 篇 zhang yangsong
  • 11 篇 pan gang
  • 11 篇 shan hongming

语言

  • 864 篇 英文
  • 50 篇 其他
  • 20 篇 中文
  • 1 篇 法文
检索条件"机构=The Henan Key Laboratory of Brain Science and Brain Computer Interface Technology"
931 条 记 录,以下是481-490 订阅
排序:
Learning across multi-stimulus enhances target recognition methods in SSVEP-based BCIs
Learning across multi-stimulus enhances target recognition m...
收藏 引用
作者: Wong, Chi Man Wan, Feng Wang, Boyu Wang, Ze Nan, Wenya Lao, Ka Fai Mak, Peng Un Vai, Mang I. Rosa, Agostinho Department of Electrical and Computer Engineering Faculty of Science and Technology University of Macau China Centre for Cognitive and Brain Sciences Institute of Collaborative Innovation University of Macau China Department of Computer Science University of Western Ontario LondonON Canada Department of Psychology Shanghai Normal University Shanghai China State Key Laboratory of Analog and Mixed-Signal VLSI University of Macau China LaSEEB-ISR-LARSyS Universidade de Lisboa Lisbon Portugal
Objective. Latest target recognition methods that are equipped with learning from the subject's calibration data, represented by the extended canonical correlation analysis (eCCA) and the ensemble task-related com... 详细信息
来源: 评论
SoloGAN: Multi-domain Multimodal Unpaired Image-to-Image Translation via a Single Generative Adversarial Network
arXiv
收藏 引用
arXiv 2020年
作者: Huang, Shihua He, Cheng Cheng, Ran The Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen518055 China The Guangdong Key Laboratory of Brain-Inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China The Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China The School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan430074 China
Despite significant advances in image-to-image (I2I) translation with generative adversarial networks (GANs), it remains challenging to effectively translate an image to a set of diverse images in multiple target doma... 详细信息
来源: 评论
An Investigation on Deep Learning with Beta Stabilizer
An Investigation on Deep Learning with Beta Stabilizer
收藏 引用
2016 IEEE 13th International Conference on Signal Processing(ICSP2016)
作者: Qi Liu Tian Tan Kai Yu Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Speech Lab Department of Computer Science and Engineering Brain Science and Technology Research Center Shanghai Jiao Tong University
Artificial neural networks(ANN) have been used in many applications such like handwriting recognition and speech recognition. It is well-known that learning rate is a crucial value in the training procedure for artifi... 详细信息
来源: 评论
CLDG: Contrastive Learning on Dynamic Graphs  39
CLDG: Contrastive Learning on Dynamic Graphs
收藏 引用
39th IEEE International Conference on Data Engineering, ICDE 2023
作者: Xu, Yiming Shi, Bin Ma, Teng Dong, Bo Zhou, Haoyi Zheng, Qinghua Xi'an Jiaotong University Department of Computer Science and Technology China Xi'an Jiaotong University Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering China Xi'an Jiaotong University Department of Distance Education China Beihang University School of Software China Beihang University Advanced Innovation Center for Big Data and Brain Computing China
The graph with complex annotations is the most potent data type, whose constantly evolving motivates further exploration of the unsupervised dynamic graph representation. One of the representative paradigms is graph c... 详细信息
来源: 评论
Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation
arXiv
收藏 引用
arXiv 2024年
作者: Zhang, Qingquan Li, Yuchen Lin, Yuhang Wang, Handing Liu, Jialin Guangdong Key Laboratory of Brain-inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China School of Artificial Intelligence Xidian University Xi’an China
This paper presents an interactive platform to interpret multi-objective evolutionary algorithms. Sokoban level generation is selected as a showcase for its widespread use in procedural content generation. By balancin... 详细信息
来源: 评论
Phone-Aware LSTM-RNN for Voice Conversion
Phone-Aware LSTM-RNN for Voice Conversion
收藏 引用
2016 IEEE 13th International Conference on Signal Processing(ICSP2016)
作者: Jiahao Lai Bo Chen Tian Tan Sibo Tong Kai Yu Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Speech Lab Department of Computer Science and Engineering Brain Science and Technology Research Center Shanghai Jiao Tong University
This paper investigates a new voice conversion technique using phone-aware Long Short-Term Memory Recurrent Neural Networks(LSTM-RNNs). Most existing voice conversion methods, including Joint Density Gaussian Mixtur... 详细信息
来源: 评论
Encoder-decoder with focus-mechanism for sequence labelling based spoken language understanding
Encoder-decoder with focus-mechanism for sequence labelling ...
收藏 引用
IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Su Zhu Kai Yu Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering SpeechLab Department of Computer Science and Engineering Brain Science and Technology Research Center Shanghai Jiao Tong University China
This paper investigates the framework of encoder-decoder with attention for sequence labelling based spoken language understanding. We introduce Bidirectional Long Short Term Memory - Long Short Term Memory networks (... 详细信息
来源: 评论
The influence of physiological environment on the targeting effect of aptamer-guided gold nanoparticles
收藏 引用
Nano Research 2019年 第1期12卷 129-135页
作者: Ding Ding Yinling Zhang Edward A.Sykes Long Chen Zhuo Chen Weihong Tan Molecular Science and Biomedicine Laboratory(MBL) State Key Laboratory of Chemo/Bio-Sensing and ChemometricsCollege of Chemistry and Chemical Engineering and College of Life SciencesHunan UniversityChangsha 410082China School of Medicine Queens University81 Barrie StreetKingstonONK7L 3N6Canada Faculty of Science and Technology University of MacaoAvenida da UniversidadeMacao Taipa 999078China Department of Chemistry Departments of Physiology and Functional GenomicsCenter far Research at the Bio/Nano InterfaceUF Health Cancer CenterUF Genetics Institute and McKnight Brain InstituteUniversity of FloridaGainesvilleFlorida 32611USA Institute of Molecular Medicine Renji HospitalShanghai Jiao Tong University School of MedicineShanghai Jiao Tong UniversityShanghai 200240China
Aptamer guided nano medicine shows great promise in targeted cancer *** the loss of targeting capacity duri ng in vivo or clinical trials has largely hindered its popularity and there are no systematic studies to eluc... 详细信息
来源: 评论
Multi-Track Music Generation with WGAN-GP and Attention Mechanisms  12
Multi-Track Music Generation with WGAN-GP and Attention Mech...
收藏 引用
12th IEEE Global Conference on Consumer Electronics, GCCE 2023
作者: Chen, Luyu Shen, Lin Yu, Dan Wang, Zhihua Qian, Kun Hu, Bin Schuller, Björn W. Yamamoto, Yoshiharu Beijing Institute of Technology School of Computer Science and Technology Beijing100081 China Beijing Institute of Technology School of Medical Technology Beijing100081 China Beijing Institute of Technology Key Laboratory of Brain Health Intelligent Evaluation and Intervention Ministry of Education Beijing100081 China The University of Tokyo Educational Physiology Laboratory Graduate School of Education Tokyo113-0033 Japan Imperial College London Glam - the Group on Language Audio & Music LondonSW7 2AZ United Kingdom
Music generation with artificial intelligence is a complex and captivating task. The utilisation of generative adversarial networks (GANs) has exhibited promising outcomes in producing realistic and diverse music comp... 详细信息
来源: 评论
Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation
Interpreting Multi-objective Evolutionary Algorithms via Sok...
收藏 引用
IEEE Symposium on Computational Intelligence and Games, CIG
作者: Qingquan Zhang Yuchen Li Yuhang Lin Handing Wang Jialin Liu Department of Computer Science and Engineering Guangdong Key Laboratory of Brain-inspired Intelligent Computation Southern University of Science and Technology Shenzhen China School of Artificial Intelligence Xidian University Xi’an China
This paper presents an interactive platform to interpret multi-objective evolutionary algorithms. Sokoban level generation is selected as a showcase for its widespread use in procedural content generation. By balancin... 详细信息
来源: 评论