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Multimodal Fusion of Brain Imaging Data: Methods and Applications
期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 1, 页码: 136-152
作者:
Na Luo
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/01/25
Multimodal fusion, supervised learning, unsupervised learning, brain atlas, cognition, brain disorders
Unsupervised Multi-Expert Learning Model for Underwater Image Enhancement
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 708-722
作者:
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/02/19
Multi-expert learning
underwater image enhancement
unsupervised learning
Foregroundness-Aware Task Disentanglement and Self-Paced Curriculum Learning for Domain Adaptive Object Detection
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 12
作者:
Liu, Yabo
;
Wang, Jinghua
;
Xiao, Linhui
;
Liu, Chengliang
;
Wu, Zhihao
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/02/22
Curriculum learning
domain adaptive object detection
location metric
task disentanglement
KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning
期刊论文
BMC MEDICAL INFORMATICS AND DECISION MAKING, 2023, 卷号: 23, 期号: 1, 页码: 19
作者:
An, Yang
;
Tang, Haocheng
;
Jin, Bo
;
Xu, Yi
;
Wei, Xiaopeng
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  |  
浏览/下载:2/0
  |  
提交时间:2023/12/21
Electronic medical records
Medication prediction
Intelligent healthcare system
Multi-source medical knowledge
Graph contrastive learning
AFCANet: An adaptive feature concatenate attention network for multi-focus image fusion
期刊论文
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2023, 卷号: 35, 期号: 9, 页码: 22
作者:
Liu, Shuaiqi
;
Peng, Weijian
;
Liu, Yali
;
Zhao, Jie
;
Su, Yonggang
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/11/15
Multi -focus image fusion
Unsupervised training
Adaptive feature concatenate
Attention module
RFMNet: Robust Deep Functional Maps for unsupervised non-rigid shape correspondence
期刊论文
GRAPHICAL MODELS, 2023, 卷号: 129, 页码: 11
作者:
Hu, Ling
;
Li, Qinsong
;
Liu, Shengjun
;
Yan, Dong-Ming
;
Xu, Haojun
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Shape correspondence
Functional maps
Unsupervised learning
Optimal transport
ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation
期刊论文
NEURAL NETWORKS, 2023, 卷号: 167, 页码: 92-103
作者:
Ding, Yuhe
;
Sheng, Lijun
;
Liang, Jian
;
Zheng, Aihua
;
He, Ran
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/11/16
Source-free unsupervised domain
adaptation
Pseudo labeling
Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining
期刊论文
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2023, 卷号: 14, 期号: 5, 页码: 21
作者:
Zhu, Yanqiao
;
Xu, Yichen
;
Yu, Feng
;
Liu, Qiang
;
Wu, Shu
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/12/21
Cluster-aware self-training and refining
unsupervised learning
graph representation learning
Motion Decoupling Network for Intra-Operative Motion Estimation Under Occlusion
期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023, 卷号: 42, 期号: 10, 页码: 2924-2935
作者:
Bian, Gui-Bin
;
Zhang, Li
;
Chen, He
;
Li, Zhen
;
Fu, Pan
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/12/21
Optical flow
Surgery
Instruments
Estimation
Task analysis
Videos
Motion estimation
Computer-assisted surgery
motion estimation
optical flow
self-supervised learning
surgical images
Meta-path infomax joint structure enhancement for multiplex network representation learning
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 275, 页码: 14
作者:
Yuan, Ruiwen
;
Wu, Yajing
;
Tang, Yongqiang
;
Wang, Junping
;
Zhang, Wensheng
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Multiplex network
Graph neural network
Network representation learning
Complementary information
Graph structure learning
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