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科研机构
大连理工大学 [43]
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期刊论文 [26]
会议论文 [17]
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2019 [8]
2018 [6]
2017 [5]
2016 [10]
2015 [4]
2014 [2]
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专题:大连理工大学
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Spatial-temporal restricted supervised learning for collaboration recommendation
期刊论文
SCIENTOMETRICS, 2019, 卷号: 119, 页码: 1497-1517
作者:
Zhang, Qi
;
Mao, Rui
;
Li, Rui
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/02
Spatial-temporal description
Academic influence
Supervised learning
Collaboration recommendation
Incorporating query constraints for autoencoder enhanced ranking
期刊论文
NEUROCOMPUTING, 2019, 卷号: 356, 页码: 142-150
作者:
Xu, Bo
;
Lin, Hongfei
;
Lin, Yuan
;
Xu, Kan
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Query constraints
Autoencoders
Learning to rank
Semi-supervised learning
ROSF: Leveraging Information Retrieval and Supervised Learning for Recommending Code Snippets
期刊论文
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2019, 卷号: 12, 页码: 34-46
作者:
Jiang, He
;
Nie, Liming
;
Sun, Zeyi
;
Ren, Zhilei
;
Kong, Weiqiang
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/02
Code snippets recommendation
information retrieval
supervised learning
topic model
feature
Heterogeneous Transfer Learning Based on Stack Sparse Auto-Encoders for Fault Diagnosis
会议论文
2018 Chinese Automation Congress, CAC 2018, Xi'an, China, 2018-11-30
作者:
Chunfeng, Wang
;
Zheng, Lv
;
Jun, Zhao
;
Wei, Wang
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/12/02
Accident prevention
Failure analysis
Fault detection
Signal encoding, Auto encoders
distance to the center of the domain
Heterogeneous characteristic
Machine learning approaches
Reliability and safeties
Supervised trainings
Transfer learning
Transfer learning methods, Learning systems
PC-SENE: A node embedding based method for protein complex detection
会议论文
Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
作者:
Liu, X.
;
Yang, Z.
;
Sang, S.
;
Wang, L.
;
Zhang, Y.
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/02
Bioinformatics
Complexation
Computational methods
Embeddings
Proteins, Extension methods
Feature engineerings
node embedding
Ppi networks
Protein complexes
Protein-protein interactions
Supervised learning approaches
Topological characteristics, Complex networks
A Weak Supervised Learning Method for Essential Protein Detection Based on STRING Database and Learning Representation
会议论文
Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
作者:
Wang, Z.
;
Sun, Y.
;
Guan, Y.
;
Zhang, Y.
;
Yang, L.
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/02
Bioinformatics
Chemical detection
Database systems
Learning systems
Machine learning
Proteins
Supervised learning
Topology, Biological information
Classification methods
Essential proteins
Learning Representation
Machine learning classification
Protein-protein interaction networks
Supervised learning methods
Topological features, Learning algorithms
Multi-Scale Retinal Vessel Segmentation Based on Fully Convolutional Neural Network [基于全卷积神经网络的多尺度视网膜血管分割]
期刊论文
Guangxue Xuebao/Acta Optica Sinica, 2019, 卷号: 39
作者:
Zheng, T.
;
Tang, C.
;
Lei, Z.
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2019/12/02
Convolution
Eye protection
Image processing
Image recognition
Neural networks
Ophthalmology
Semantics
Supervised learning
Textures, Balanced loss function
Convolutional neural network
High level semantics
Multi-scale features
Multiscale segmentation
Receiver operating characteristic curves
Retinal vessel segmentations
Retinal vessels, Image segmentation
Exploring semi-supervised variational autoencoders for biomedical relation extraction
期刊论文
METHODS, 2019, 卷号: 166, 页码: 112-119
作者:
Zhang, Yijia
;
Lu, Zhiyong
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/02
Biomedical literature
Relation extraction
Semi-supervised learning
Variational autoencoder
A Weak Supervised Learning Method for Essential Protein Detection Based on STRING Database and Learning Representation
会议论文
PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2018-01-01
作者:
Wang, Zhizheng
;
Sun, Yuanyuan
;
Guan, Yawen
;
Zhang, Yibin
;
Yang, Liang
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Essential Proteins
Biological Information
Learning Representation
Machine Learning
Weak Supervised Learning
CLASSIFICATION OF HYPERSPECTRAL IMAGE BASED ON HYBRID NEURAL NETWORKS
会议论文
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018-01-01
作者:
Fu, Anyan
;
Ma, Xiaorui
;
Wang, Hongyu
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/02
hyperspectral image (HSI)
convolutional neural networks (CNN)
feature learning
supervised classification
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