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自动化研究所 [12]
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期刊论文 [66]
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CEHMR: Curriculum learning enhanced hierarchical multi-label classification for medication recommendation
期刊论文
ARTIFICIAL INTELLIGENCE IN MEDICINE, 2023, 卷号: 143, 页码: 13
作者:
Sun, Mengxuan
;
Niu, Jinghao
;
Yang, Xuebing
;
Gu, Yifan
;
Zhang, Wensheng
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/11/16
Medication recommendation
EHR
Hierarchical multi-label classification
Curriculum learning
Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 15
作者:
Fu, Kaicheng
;
Du, Changde
;
Wang, Shengpei
;
He, Huiguang
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  |  
浏览/下载:14/0
  |  
提交时间:2022/12/27
Decoding
Brain modeling
Functional magnetic resonance imaging
Predictive models
Emotion recognition
Dimensionality reduction
Pattern recognition
Fine-grained emotion decoding
multi-label learning
multi-view learning
product of experts (PoEs)
variational autoencoder
Stable Label-Specific Features Generation for Multi-Label Learning via Mixture-Based Clustering Ensemble
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 7, 页码: 1248-1261
作者:
Yi-Bo Wang
;
Jun-Yi Hang
;
Min-Ling Zhang
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  |  
浏览/下载:14/0
  |  
提交时间:2022/06/27
Clustering ensemble
expectation-maximization al-gorithm
label-specific features
multi-label learning
Semi-supervised cross-modal image generation with generative adversarial networks
期刊论文
PATTERN RECOGNITION, 2020, 卷号: 100, 页码: 12
作者:
Li, Dan
;
Du, Changde
;
He, Huiguang
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  |  
浏览/下载:17/0
  |  
提交时间:2020/06/22
Multi-modality
Semi-supervised learning
Semantic networks
Generative adversarial networks
Multi-label learning
Action Units recognition based on Deep Spatial-Convolutional and Multi-label Residual network
期刊论文
NEUROCOMPUTING, 2019, 卷号: 359, 页码: 130-138
作者:
Wang, Su-Jing
;
Lin, Bo
;
Wang, Yong
;
Yi, Tongqiang
;
Zou, Bochao
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  |  
浏览/下载:76/0
  |  
提交时间:2019/09/10
Sample imbalance problem
AU recognition
Multi-label learning
Local convolution
Residual unit
Supervised representation learning for multi-label classification
期刊论文
MACHINE LEARNING, 2019, 卷号: 108, 期号: 5, 页码: 747-763
作者:
Niu, Zhengyu
;
Huang, Ming
;
Zhuang, Fuzhen
;
Zhang, Xiao
;
Ao, Xiang
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  |  
浏览/下载:57/0
  |  
提交时间:2019/08/16
Representation learning
Multi-label learning
Two-encoding-layer autoencoder
A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 4, 页码: 1575-1590
作者:
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浏览/下载:53/0
  |  
提交时间:2019/07/12
Pedestrian retrieval
person re-identification
pedestrian attribute recognition
multi-label learning
Non-negative matrix factorization based modeling and training algorithm for multi-label learning
期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2019, 卷号: 13, 页码: 1243-1254
作者:
Sun, Liang
;
Ge, Hongwei
;
Kang, Wenjing
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浏览/下载:9/0
  |  
提交时间:2019/12/02
multi-label learning
non-negative least square optimization
non-negative matrix factorization
smoothness assumption
Image Based Brain Segmentation: From Multi-atlas Fusion to Deep Learning
期刊论文
CURRENT MEDICAL IMAGING, 2019, 卷号: 15, 页码: 443-452
作者:
Lin, Xiangbo
;
Li, Xiaoxi
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  |  
浏览/下载:5/0
  |  
提交时间:2019/12/02
Brain tissue
segmentation
grand challenge
multi-atlas label fusion
deep learning
algorithms
Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation
期刊论文
IEEE Transactions on Multimedia, 2019, 卷号: Vol.21 No.11, 页码: 2837-2849
作者:
Chang Tang
;
Xinwang Liu
;
Pichao Wang
;
Changqing Zhang
;
Miaomiao Li
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  |  
浏览/下载:29/0
  |  
提交时间:2019/11/21
Image annotation
Semisupervised learning
Semantics
Computational modeling
Task analysis
Training
Computer science
Multi-label image annotation
hypergraph learning
semi-supervised learning
feature projection
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