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科研机构
大连理工大学 [285]
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期刊论文 [201]
会议论文 [76]
专利 [8]
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2019 [16]
2018 [23]
2017 [20]
2016 [21]
2015 [22]
2014 [9]
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专题:大连理工大学
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NASM: Nonlinearly Attentive Similarity Model for Recommendation System via Locally Attentive Embedding
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 70689-70700
作者:
Shan, Zhen-Pei
;
Lei, Yun-Qi
;
Zhang, De-Fu
;
Zhou, Jian
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/02
Locally historical information
globally historical information
nonlinearly attentive layer
locally attentive layer
similarity model
Time-sensitive clinical concept embeddings learned from large electronic health records
期刊论文
BMC MEDICAL INFORMATICS AND DECISION MAKING, 2019, 卷号: 19
作者:
Xiang, Yang
;
Xu, Jun
;
Si, Yuqi
;
Li, Zhiheng
;
Rasmy, Laila
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/12/02
Clinical concept embedding
Distributional representation
Time sensitive concept embedding
Electronic medical records
Concept similarity
Predictive modeling
Two-Sided Matching for Triangular Intuitionistic Fuzzy Numbers in Smart Environmental Protection
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 42426-42435
作者:
Yue, Qi
;
Zhang, Lili
;
Yu, Bingwen
;
Zhang, Lei Johnny
;
Zhang, Junlai
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/02
Two-sided matching
smart environmental protection
triangular intuitionistic fuzzy number
similarity measure
model
Traffic Data Reconstruction via Adaptive Spatial-Temporal Correlations
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 页码: 1531-1543
作者:
Wang, Yang
;
Zhang, Yong
;
Piao, Xinglin
;
Liu, Hao
;
Zhang, Ke
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
Traffic data reconstruction
matrix factorization
temporal variation characteristic
adaptive spatial similarity
Early Fault Diagnosis for Planetary Gearbox Based on Adaptive Parameter Optimized VMD and Singular Kurtosis Difference Spectrum
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 31501-31516
作者:
Wang, Chaoge
;
Li, Hongkun
;
Huang, Gangjin
;
Ou, Jiayu
收藏
  |  
浏览/下载:130/0
  |  
提交时间:2019/12/02
Planetary gearbox
adaptive parameter optimized VMD
singular kurtosis difference spectrum
cosine similarity
early fault diagnosis
Dimensional response analysis of bilinear SDOF systems under near-fault ground motions with intrinsic length scale
期刊论文
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2019, 卷号: 116, 页码: 397-408
作者:
Yang, Dixiong
;
Guo, Guiqiang
;
Liu, Yunhe
;
Zhang, Junfa
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/12/02
Dimensional analysis
Bilinear SDOF systems
Near-fault ground motions
Intrinsic length scale
Complete similarity
Regression model
Is scientific collaboration sustainability predictable?
会议论文
26th International World Wide Web Conference, WWW 2017 Companion, Perth, WA, Australia, 2017-04-03
作者:
Wang, Wei
;
Cui, Zixin
;
Gao, Tong
;
Yu, Shuo
;
Kong, Xiangjie
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/02
World Wide Web, Baseline models
Real-world
Research interests
Scientific collaboration
Stage prediction
Structural similarity indices
Sustainable collaboration, Sustainable development
Unsupervised Learning of Human Pose Distance Metric via Sparsity Locality Preserving Projections
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 页码: 314-327
作者:
Wang, Shaofan
;
Xin, Yongjia
;
Kong, Dehui
;
Yin, Baocai
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/02
Pose similarity
distance metric
unsupervised learning
sparse representation
locality preserving projection
A deep learning method for image super-resolution based on geometric similarity
期刊论文
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2019, 卷号: 70, 页码: 210-219
作者:
Lu, Jian
;
Hu, Weidong
;
Sun, Yi
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/02
Super-resolution
Self-similarity
Deep learning
Spatial transformer networks
Privacy preserving weighted similarity search scheme for encrypted data
期刊论文
IET INFORMATION SECURITY, 2019, 卷号: 13, 页码: 61-69
作者:
Guo, Cheng
;
Tian, Pengxu
;
Chang, Chin-Chen
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/12/02
cryptography
outsourcing
cloud computing
data privacy
different weighted searches
encrypted data
searchable symmetric encryption
data users
search request
homomorphic encryption
weight problem
weight information
weighted similarity search scheme
cloud computing
outsourced data
privacy concerns
searchable encryption
different users
different requirements
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