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511-520 订阅
排序:
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games
arXiv
收藏 引用
arXiv 2022年
作者: Bai, Hui Shen, Ruimin Lin, Yue Xu, Botian Cheng, Ran The Guangdong Key Laboratory of Brain-Inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China The NetEase Games Ai Lab Guangzhou510653 China
Despite the emerging progress of integrating evolutionary computation into reinforcement learning, the absence of a high-performance platform endowing composability and massive parallelism causes non-trivial difficult... 详细信息
来源: 评论
Evolving Constrained Reinforcement Learning Policy
Evolving Constrained Reinforcement Learning Policy
收藏 引用
International Joint Conference on Neural Networks (IJCNN)
作者: Chengpeng Hu Jiyuan Pei Jialin Liu Xin Yao Research Institute of Trustworthy Autonomous Systems (RITAS) Southern University of Science and Technology Shenzhen China Department of Computer Science and Engineering Guangdong Key Laboratory of Brain-inspired Intelligent Computation Southern University of Science and Technology Shenzhen China
Evolutionary algorithms have been used to evolve a population of actors to generate diverse experiences for training reinforcement learning agents, which helps to tackle the temporal credit assignment problem and impr...
来源: 评论
Multi-view LSTM Language Model with Word-synchronized Auxiliary Feature for LVCSR
Multi-view LSTM Language Model with Word-synchronized Auxili...
收藏 引用
第十六届全国计算语言学学术会议暨第五届基于自然标注大数据的自然语言处理国际学术研讨会
作者: Yue Wu Tianxing He Zhehuai Chen Yanmin Qian 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 UniversityShanghaiChina
Recently long short-term memory language model(LSTMLM)has received tremendous interests from both language and speech communities,due to its superiorty on modelling long-term ***,integrating auxiliary information,such... 详细信息
来源: 评论
Robust Spoken Language Understanding with Unsupervised ASR-Error Adaptation
Robust Spoken Language Understanding with Unsupervised ASR-E...
收藏 引用
IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Su Zhu Ouyu Lan 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 Shanghai China
Robustness to errors produced by automatic speech recognition (ASR) is essential for Spoken Language Understanding (SLU). Traditional robust SLU typically needs ASR hypotheses with semantic annotations for training. H... 详细信息
来源: 评论
Short-length SSVEP data extension by a novel generative adversarial networks based framework
arXiv
收藏 引用
arXiv 2023年
作者: Pan, Yudong Li, Ning Zhang, Yangsong Xu, Peng Yao, Dezhong School of Computer Science and Technology Laboratory for Brain Science and Medical Artificial Intelligence Southwest University of Science and Technology Mianyang621010 China Key Laboratory of Testing Technology for Manufacturing Process Ministry of Education Southwest University of Science and Technology Mianyang621010 China MOE Key Lab for Neuroinformation University of Electronic Science and Technology of China Chengdu610059 China
Steady-state visual evoked potentials (SSVEPs) based brain-computer interface (BCI) has received considerable attention due to its high information transfer rate (ITR) and available quantity of targets. However, the p... 详细信息
来源: 评论
Concept transfer learning for adaptive language understanding
arXiv
收藏 引用
arXiv 2017年
作者: Zhu, Su Yu, Kai 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 Shanghai China
Semantic transfer is an important problem of the language understanding (LU), which is about how the recognition pattern of a semantic concept benefits other associated concepts. In this paper, we propose a new semant... 详细信息
来源: 评论
FOCAL KL-DIVERGENCE BASED DILATED CONVOLUTIONAL NEURAL NETWORKS FOR CO-CHANNEL SPEAKER IDENTIFICATION
FOCAL KL-DIVERGENCE BASED DILATED CONVOLUTIONAL NEURAL NETWO...
收藏 引用
IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Shuai Wang Yanmin Qian 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 Shanghai China
Recognizing the identities of multiple talkers via their overlapped speech is a challenging task, it is also one main difficulty for the "cocktail party problem". In this paper, a novel dilated convolutional... 详细信息
来源: 评论
SEMI-SUPERVISED TRAINING USING ADVERSARIAL MULTI-TASK LEARNING FOR SPOKEN LANGUAGE UNDERSTANDING
SEMI-SUPERVISED TRAINING USING ADVERSARIAL MULTI-TASK LEARNI...
收藏 引用
IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Ouyu Lan 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 Shanghai China
Spoken language understanding (SLU) usually requires human semantic annotation on collected data, but the process is expensive. In order to make better use of unlabeled data for robust SLU, we propose an adversarial m... 详细信息
来源: 评论
An investigation on deep learning with Beta stabilizer
arXiv
收藏 引用
arXiv 2020年
作者: Liu, Qi Tan, Tian Yu, Kai 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 Shanghai China
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 artif... 详细信息
来源: 评论
GaitSet: Regarding gait as a set for cross-view gait recognition
arXiv
收藏 引用
arXiv 2018年
作者: Chao, Hanqing He, Yiwei Zhang, Junping Feng, JianFeng Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai200433 China Institute of Science and Technology for Brain-inspired Intelligence Fudan University Shanghai200433 China
As a unique biometric feature that can be recognized at a distance, gait has broad applications in crime prevention, forensic identification and social security. To portray a gait, existing gait recognition methods ut... 详细信息
来源: 评论