咨询与建议

限定检索结果

文献类型

  • 904 篇 期刊文献
  • 618 篇 会议
  • 12 篇 学位论文

馆藏范围

  • 1,534 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 1,386 篇 工学
    • 946 篇 计算机科学与技术...
    • 488 篇 电气工程
    • 177 篇 信息与通信工程
    • 129 篇 控制科学与工程
    • 128 篇 软件工程
    • 75 篇 生物医学工程(可授...
    • 73 篇 仪器科学与技术
    • 59 篇 机械工程
    • 48 篇 材料科学与工程(可...
    • 36 篇 电子科学与技术(可...
    • 32 篇 石油与天然气工程
    • 25 篇 测绘科学与技术
    • 24 篇 化学工程与技术
    • 21 篇 土木工程
    • 21 篇 环境科学与工程(可...
    • 19 篇 动力工程及工程热...
    • 17 篇 力学(可授工学、理...
    • 16 篇 交通运输工程
    • 13 篇 生物工程
  • 327 篇 理学
    • 124 篇 物理学
    • 95 篇 生物学
    • 59 篇 化学
    • 54 篇 数学
    • 35 篇 地球物理学
    • 20 篇 统计学(可授理学、...
  • 243 篇 医学
    • 146 篇 临床医学
    • 61 篇 特种医学
    • 56 篇 基础医学(可授医学...
  • 109 篇 管理学
    • 88 篇 管理科学与工程(可...
    • 15 篇 图书情报与档案管...
  • 18 篇 农学
  • 12 篇 经济学
  • 10 篇 法学
  • 10 篇 教育学
  • 9 篇 文学
  • 3 篇 艺术学

主题

  • 1,534 篇 variational auto...
  • 260 篇 deep learning
  • 131 篇 anomaly detectio...
  • 93 篇 machine learning
  • 58 篇 generative adver...
  • 47 篇 generative model
  • 46 篇 training
  • 43 篇 feature extracti...
  • 42 篇 unsupervised lea...
  • 39 篇 neural networks
  • 37 篇 representation l...
  • 36 篇 generative adver...
  • 36 篇 data augmentatio...
  • 34 篇 convolutional ne...
  • 33 篇 data models
  • 27 篇 semi-supervised ...
  • 27 篇 artificial intel...
  • 26 篇 task analysis
  • 26 篇 deep generative ...
  • 25 篇 collaborative fi...

机构

  • 10 篇 natl chiao tung ...
  • 6 篇 ucl england
  • 6 篇 shenzhen univ co...
  • 6 篇 shanghai univ sc...
  • 5 篇 nanyang technol ...
  • 5 篇 zhejiang lab peo...
  • 5 篇 xiamen univ sch ...
  • 5 篇 chung yuan chris...
  • 4 篇 mit comp sci & a...
  • 4 篇 univ chinese aca...
  • 4 篇 beijing jiaotong...
  • 4 篇 acad sinica res ...
  • 4 篇 acad sinica taiw...
  • 4 篇 oak ridge natl l...
  • 4 篇 northwestern pol...
  • 4 篇 ecole technol su...
  • 4 篇 chongqing univ p...
  • 4 篇 tsinghua univ de...
  • 4 篇 univ elect sci &...
  • 4 篇 zhejiang univ st...

作者

  • 12 篇 chien jen-tzung
  • 8 篇 tahan antoine
  • 8 篇 chen junghui
  • 8 篇 zemouri ryad
  • 7 篇 yang fan
  • 7 篇 utschick wolfgan...
  • 7 篇 zhang hao
  • 6 篇 tsao yu
  • 6 篇 baur michael
  • 6 篇 slavic giulia
  • 6 篇 wang hsin-min
  • 6 篇 regazzoni carlo
  • 6 篇 marcenaro lucio
  • 5 篇 guo rui
  • 5 篇 li maokun
  • 5 篇 hsu wei-ning
  • 5 篇 glass james
  • 5 篇 liu xin
  • 5 篇 yoshii kazuyoshi
  • 5 篇 li yan

语言

  • 1,486 篇 英文
  • 38 篇 其他
  • 2 篇 中文
  • 1 篇 德文
  • 1 篇 法文
  • 1 篇 意大利文
  • 1 篇 朝鲜文
  • 1 篇 土耳其文
检索条件"主题词=Variational autoencoder"
1534 条 记 录,以下是221-230 订阅
排序:
Bayesian finite element model updating with a variational autoencoder and polynomial chaos expansion
收藏 引用
ENGINEERING STRUCTURES 2024年 316卷
作者: Li, Qiang Ni, Pinghe Du, Xiuli Han, Qiang Xu, Kun Bai, Yulei Natl Key Lab Bridge Safety & Resilience Beijing Peoples R China
The quantification of uncertainty in civil structures poses a significant challenge in contemporary research due to the substantial computational demands involved. This study introduces an innovative approach for upda... 详细信息
来源: 评论
Multiscale variational autoencoder regressor for production prediction and energy saving of industrial processes
收藏 引用
CHEMICAL ENGINEERING SCIENCE 2024年 284卷
作者: Han, Yongming Wang, Yue Chen, Zhiwei Lu, Yi Hu, Xuan Chen, Liangchao Geng, Zhiqiang Beijing Univ Chem Technol Coll Informat Sci & Technol Beijing 100029 Peoples R China Minist Educ China Engn Res Ctr Intelligent PSE Beijing 100029 Peoples R China Beijing Univ Chem Technol High Tech Res Inst Beijing 100029 Peoples R China Beijing Jiaboyunshu Technol Co Ltd Beijing 100089 Peoples R China
As modern industries increase in scale and integration, the industrial process data show more complex dynamic time variability. To solve the dynamic time-varying problem of industrial process data, a novel multiscale ... 详细信息
来源: 评论
Fast variational autoencoder with Inverted Multi-Index for Collaborative Filtering  22
Fast Variational AutoEncoder with Inverted Multi-Index for C...
收藏 引用
31st ACM Web Conference (WWW)
作者: Chen, Jin Lian, Defu Jin, Binbin Huang, Xu Zheng, Kai Chen, Enhong Univ Elect Sci & Technol China Chengdu Peoples R China Uni Sci & Technol China Hefei Anhui Peoples R China Huawei Cloud Comp Technol Co Ltd Dongguan Peoples R China
variational autoencoder (VAE) has been extended as a representative nonlinear method for collaborative filtering. However, the bottleneck of VAE lies in the softmax computation over all items, such that it takes linea... 详细信息
来源: 评论
variational autoencoder based bipartite network embedding by integrating local and global structure
收藏 引用
INFORMATION SCIENCES 2020年 第0期519卷 9-21页
作者: Jiao, Pengfei Tang, Minghu Liu, Hongtao Wang, Yaping Lu, Chunyu Wu, Huaming Tianjin Univ Ctr Biosafety Res & Strategy Tianjin Peoples R China Tianjin Univ Coll Intelligence & Comp Tianjin Peoples R China Tianjin Univ Ctr Appl Math Tianjin Peoples R China
As a powerful tool for machine learning on the graph, network embedding, which projects nodes into low-dimensional spaces, has a variety of applications on complex networks. Most current methods and models are not sui... 详细信息
来源: 评论
variational autoencoder With Optimizing Gaussian Mixture Model Priors
收藏 引用
IEEE ACCESS 2020年 8卷 43992-44005页
作者: Guo, Chunsheng Zhou, Jialuo Chen, Huahua Ying, Na Zhang, Jianwu Zhou, Di Hangzhou Dianzi Univ Telecommun Engn Hangzhou 310018 Peoples R China Hangzhou Dianzi Univ Video Anal & Proc Team Hangzhou 310018 Zhejiang Peoples R China Zhejiang Univ Technol Co Ltd Hangzhou 310051 Peoples R China
The latent variable prior of the variational autoencoder (VAE) often utilizes a standard Gaussian distribution because of the convenience in calculation, but has an underfitting problem. This paper proposes a variatio... 详细信息
来源: 评论
Advanced collision risk estimation in terminal manoeuvring areas using a variational autoencoder for
收藏 引用
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2024年 第PartB期133卷
作者: Krauth, Timothe Morio, Jerome Olive, Xavier Figuet, Benoit Zurich Univ Appl Sci Ctr Aviat CH-8400 Winterthur Switzerland Univ Toulouse ONERA DTIS F-31055 Toulouse France Technikumstr 71 CH-8400 Winterthur Switzerland
Air Traffic Management aims at ensuring safety during aircraft operations, particularly within Terminal Manoeuvring Areas where traffic density is high. The challenge lies in balancing safety and efficiency by closely... 详细信息
来源: 评论
Unleashing the Power of Hierarchical variational autoencoder for Predicting Breast Cancer
收藏 引用
IEEE ACCESS 2024年 12卷 195658-195670页
作者: Sreelekshmi, V. Pavithran, K. Nair, Jyothisha J. Amrita Vishwa Vidyapeetham Amrita Sch Comp Dept Comp Sci & Engn Amritapuri 690525 India Amrita Inst Med Sci Dept Med Oncol Kochi 682041 Kerala India
Breast cancer continues to be a major health concern worldwide. Early and accurate prediction is crucial for effective treatment and improving survival rates. Computer Aided Diagnosis system serves as an invaluable to... 详细信息
来源: 评论
A topic modeling and image classification framework: The Generalized Dirichlet variational autoencoder
收藏 引用
PATTERN RECOGNITION 2024年 146卷
作者: Ojo, Akinlolu Oluwabusayo Bouguila, Nizar Concordia Univ 1455 Maisonneuve Blvd W Montreal PQ H3G 1M8 Canada
Latent Dirichlet allocation model (LDA) has been widely used in topic modeling. Recent works have shown the effectiveness of integrating neural network mechanisms with this generative model for learning text represent... 详细信息
来源: 评论
A multimodal dynamical variational autoencoder for audiovisual speech representation learning
收藏 引用
NEURAL NETWORKS 2024年 172卷 106120页
作者: Sadok, Samir Leglaive, Simon Girin, Laurent Alameda-Pineda, Xavier Seguier, Renaud CentraleSupelec UMR CNRS 6164 IETR Gif Sur Yvette France Univ Grenoble Alpes CNRS Grenoble INP GIPSA Lab Grenoble France Univ Grenoble Alpes Inria LJK CNRS Grenoble France
High -dimensional data such as natural images or speech signals exhibit some form of regularity, preventing their dimensions from varying independently. This suggests that there exists a lower dimensional latent repre... 详细信息
来源: 评论
A multi-channel fusion variational autoencoder-based RUL prediction approach for multi-sensor systems
收藏 引用
MEASUREMENT SCIENCE AND TECHNOLOGY 2024年 第11期35卷 116129-116129页
作者: Wang, Yuxiao Suo, Chao Zhao, Yuyu Civil Aviat Univ China Coll Elect Informat & Automat Tianjin 300300 Peoples R China
Deep learning (DL)-based approaches have demonstrated remarkable performance in predicting the remaining useful life (RUL) of complex systems, which is beneficial for making timely maintenance decisions. However, the ... 详细信息
来源: 评论