咨询与建议

限定检索结果

文献类型

  • 550 篇 会议
  • 28 篇 期刊文献
  • 7 册 图书

馆藏范围

  • 585 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 470 篇 工学
    • 425 篇 计算机科学与技术...
    • 199 篇 软件工程
    • 110 篇 电气工程
    • 67 篇 信息与通信工程
    • 45 篇 生物工程
    • 42 篇 生物医学工程(可授...
    • 26 篇 控制科学与工程
    • 20 篇 光学工程
    • 13 篇 仪器科学与技术
    • 11 篇 机械工程
    • 10 篇 化学工程与技术
    • 9 篇 交通运输工程
    • 8 篇 电子科学与技术(可...
    • 7 篇 土木工程
  • 140 篇 理学
    • 69 篇 数学
    • 56 篇 生物学
    • 33 篇 物理学
    • 24 篇 统计学(可授理学、...
    • 19 篇 系统科学
    • 8 篇 化学
  • 90 篇 管理学
    • 63 篇 图书情报与档案管...
    • 35 篇 管理科学与工程(可...
    • 19 篇 工商管理
  • 46 篇 医学
    • 36 篇 临床医学
    • 22 篇 基础医学(可授医学...
    • 13 篇 药学(可授医学、理...
    • 7 篇 特种医学
    • 6 篇 公共卫生与预防医...
  • 11 篇 法学
    • 9 篇 社会学
  • 11 篇 教育学
    • 10 篇 教育学
  • 8 篇 经济学
  • 6 篇 农学

主题

  • 74 篇 machine learning
  • 55 篇 data mining
  • 36 篇 pattern recognit...
  • 33 篇 deep learning
  • 20 篇 feature extracti...
  • 18 篇 artificial intel...
  • 16 篇 support vector m...
  • 15 篇 learning systems
  • 11 篇 image classifica...
  • 9 篇 training
  • 8 篇 neural networks
  • 8 篇 face recognition
  • 8 篇 manifold learnin...
  • 8 篇 supervised learn...
  • 7 篇 pattern classifi...
  • 7 篇 big data
  • 7 篇 clustering algor...
  • 7 篇 classification (...
  • 7 篇 machine learning...
  • 7 篇 data models

机构

  • 4 篇 ukrainian cathol...
  • 3 篇 harbin inst tech...
  • 3 篇 guilin univ elec...
  • 3 篇 fujian univ tech...
  • 3 篇 college of compu...
  • 3 篇 kunming univ col...
  • 3 篇 nanjing univ sci...
  • 3 篇 concordia univ d...
  • 2 篇 shanghai jiao to...
  • 2 篇 australian e-hea...
  • 2 篇 telangana hydera...
  • 2 篇 key lab data gov...
  • 2 篇 idiap ch-1920 ma...
  • 2 篇 department of ma...
  • 2 篇 univ toronto dep...
  • 2 篇 univ montreal di...
  • 2 篇 chitkara univers...
  • 2 篇 natl univ singap...
  • 2 篇 pattern analysis...
  • 2 篇 univ katolik ind...

作者

  • 3 篇 li junbao
  • 3 篇 maier andreas
  • 3 篇 bengio s
  • 3 篇 deepa r.
  • 3 篇 deng fei
  • 3 篇 pan jeng-shyang
  • 3 篇 hu cong
  • 3 篇 zhang daoqiang
  • 3 篇 amelio alessia
  • 3 篇 maier-hein klaus
  • 3 篇 he chunhui
  • 2 篇 vrahatis aristid...
  • 2 篇 jin zhong
  • 2 篇 collobert r
  • 2 篇 tax dmj
  • 2 篇 sharma r
  • 2 篇 cilia nicole dal...
  • 2 篇 fontanella franc...
  • 2 篇 genov r
  • 2 篇 stiefelhagen rai...

语言

  • 568 篇 英文
  • 12 篇 中文
  • 9 篇 其他
  • 1 篇 俄文
检索条件"任意字段=1st International Workshop on Machine Learning and Data Mining in Pattern Recognition"
585 条 记 录,以下是81-90 订阅
排序:
dataset Bias in Deception Detection  26
Dataset Bias in Deception Detection
收藏 引用
26th international Conference on pattern recognition / 8th international workshop on Image mining - Theory and Applications (IMTA)
作者: Mambreyan, Ara Punskaya, Elena Gunes, Hatice Univ Cambridge Dept Engn Cambridge England Univ Cambridge Dept Comp Sci & Technol Cambridge England
With the advances in machine learning, lie detection technology gained significant attention. In recent years, several multi-modal techniques achieved as high as 99% accuracy results using the Real-life Trial dataset ... 详细信息
来源: 评论
Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet recognition Through the Lens of Robustness  1
收藏 引用
1st ICLR international workshop on Trustworthy machine learning for Healthcare (TML4H)
作者: Cheng, Yanqi Liu, Lihao Wang, Shujun Jin, Yueming Schonlieb, Carola-Bibiane Aviles-Rivero, Angelica, I Univ Cambridge Dept Appl Math & Theoret Phys Cambridge England UCL Wellcome EPSRC Ctr Intervent & Surg Sci London England UCL Dept Comp Sci London England
Surgical action triplet recognition provides a better understanding of the surgical scene. This task is of high relevance as it provides the surgeon with context-aware support and safety. The current go-to strategy fo... 详细信息
来源: 评论
The 1st international workshop on Federated learning with Graph data (FedGraph)  22
The 1st International Workshop on Federated Learning with Gr...
收藏 引用
31st ACM international Conference on Information and Knowledge Management (CIKM)
作者: Yang, Carl Li, Xiaoxiao Baracaldo, Nathalie Shah, Neil He, Chaoyang Lyu, Lingjuan Sun, Lichao Avestimehr, Salman Emory Univ Atlanta GA 30322 USA Univ British Columbia Vancouver BC Canada IBM Res San Jose CA USA Snap Res Seattle WA USA FedML Inc Los Angeles CA USA Sony AI Tokyo Japan Lehigh Univ Bethlehem PA 18015 USA Univ Southern Calif Los Angeles CA 90007 USA
The field of graph data mining, one of the most important AI research areas, has been revolutionized by graph neural networks (GNNs), which benefit from training on real-world graph data with millions to billions of n... 详细信息
来源: 评论
Speeding up Heterogeneous Federated learning with Sequentially Trained Superclients  26
Speeding up Heterogeneous Federated Learning with Sequential...
收藏 引用
26th international Conference on pattern recognition / 8th international workshop on Image mining - Theory and Applications (IMTA)
作者: Zaccone, Riccardo Rizzardi, Andrea Caldarola, Debora Ciccone, Marco Caputo, Barbara Politecnico Torino Turin Italy
Federated learning (FL) allows training machine learning models in privacy-constrained scenarios by enabling the cooperation of edge devices without requiring local data sharing. This approach raises several challenge... 详细信息
来源: 评论
Rainfall Prediction Using machine learning  1
Rainfall Prediction Using Machine Learning
收藏 引用
1st international Conference on Artificial Intelligence Trends and pattern recognition, ICAITPR 2022
作者: Gupta, Akash Mall, Hitesh Kumar Janarthanan, S. Galgotias University School of Computing Science and Engineering UP Greater Noida India
Rainfall forecasting is a single of difficult and unpredictable undertakings that has a major influence on human society. Predictions that are accurate and timely can help to avert human and financial loss. This study... 详细信息
来源: 评论
Optimal Feature Subset Selection for pattern Classification and recognition Using Spectral Entropy as a Complexity Measure from Alcohol and Sleep EEG data  1
Optimal Feature Subset Selection for Pattern Classification ...
收藏 引用
1st IEEE international Conference on Innovations in High Speed Communication and Signal Processing, IHCSP 2023
作者: Singh, Takveer Chitkara University Institute of Engineering and Technology Chitkara University Centre for Interdisciplinary Research in Business and Technology Punjab India
The quantity of unprocessed data in multi-channel EEG analysis is enormous. Most datasets have some level of noise or redundancy, which could lower the accuracy of any relevant features that are uncovered. This result... 详细信息
来源: 评论
Efficient Large Scale Medical Image dataset Preparation for machine learning Applications  1
收藏 引用
1st MICCAI international workshop on data Engineering in Medical Imaging (DEMI)
作者: Denner, stefan Scherer, Jonas Kades, Klaus Bounias, Dimitrios Schader, Philipp Kausch, Lisa Bujotzek, Markus Bucher, Andreas Michael Penzkofer, Tobias Maier-Hein, Klaus German Canc Res Ctr Div Med Image Comp Heidelberg Germany Heidelberg Univ Med Fac Heidelberg Heidelberg Germany Heidelberg Univ Hosp Dept Radiat Oncol Pattern Anal & Learning Grp Heidelberg Germany Natl Ctr Tumor Dis NCT Heidelberg Germany Goethe Univ Frankfurt Univ Hosp Inst Diagnost & Intervent Radiol Frankfurt Germany Charite Univ Med Berlin Dept Radiol Berlin Germany
In the rapidly evolving field of medical imaging, machine learning algorithms have become indispensable for enhancing diagnostic accuracy. However, the effectiveness of these algorithms is contingent upon the availabi... 详细信息
来源: 评论
international workshop on Continual Semi-Supervised learning: Introduction, Benchmarks and Baselines  1
收藏 引用
1st international workshop on Continual Semi-Supervised learning (CSSLat IJCAI)
作者: Shahbaz, Ajmal Khan, Salman Hossain, Mohammad Asiful Lomonaco, Vincenzo Cannons, Kevin Xu, Zhan Cuzzolin, Fabio Oxford Brookes Univ Oxford England Huawei Technol Vancouver BC Canada Univ Pisa Pisa Italy
The aim of this paper is to formalise a new continual semi-supervised learning (CSSL) paradigm, proposed to the attention of the machine learning community via the IJCAI 2021 international workshop on Continual Semi-S... 详细信息
来源: 评论
Knowledge Graph data Enrichment Based on a Software Library for Text Mapping to the Sustainable Development Goals  2
Knowledge Graph Data Enrichment Based on a Software Library ...
收藏 引用
Joint of the 2nd international workshop on Knowledge Graph Generation From Text and the 1st international BiKE Challenge, TEXT2KG 2023 and BiKE 2023
作者: Mandilara, Ioanna Fotopoulou, Eleni Androna, Christina Maria Zafeiropoulos, Anastasios Papavassiliou, Symeon Institute of Communication and Computer Systems National Technical University of Athens Athens Greece
Over the last few years, there has been a significant increase in the release of massive amounts of data related to the Sustainable Development Goals (SDGs). This has been driven by the recognition that data is critic... 详细信息
来源: 评论
Sensor Fusion and Multimodal learning for Robotic Grasp Verification Using Neural Networks  26
Sensor Fusion and Multimodal Learning for Robotic Grasp Veri...
收藏 引用
26th international Conference on pattern recognition / 8th international workshop on Image mining - Theory and Applications (IMTA)
作者: Gohil, Priteshkumar Thoduka, Santosh Ploeger, Paul G. Bonn Rhein Sieg Univ Appl Sci Dept Comp Sci Autonomous Syst St Augustin Germany
Different sensors on a robot help in understanding different aspects of the environment they are working in;however, each sensor modality is often processed individually and information from other sensors is not utili... 详细信息
来源: 评论