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自动化研究所 [18]
北京航空航天大学 [13]
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期刊论文 [121]
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2019 [138]
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An Efficient Spectral Selection of M Giants Using XGBoost
期刊论文
The Astrophysical Journal, 2019, 卷号: 887, 期号: 2
作者:
Yi,Zhenping
;
Chen,Zesheng
;
Pan,Jingchang
;
Yue,Lili
;
Lu,Yuxiang
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2020/03/10
Astrostatistics techniques
M stars
M giant stars
Stellar classification
Predictive mapping with small field sample data using semi-supervised machine learning
期刊论文
TRANSACTIONS IN GIS, 2019, 页码: 17
作者:
Du, Fei
;
Zhu, A-Xing
;
Liu, Jing
;
Yang, Lin
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2020/05/19
A Deep and Structured Metric Learning Method for Robust Person Re-Identification
期刊论文
PATTERN RECOGNITION, 2019, 卷号: 96, 页码: 12
作者:
Ren, Chuan-Xian
;
Xu, Xiao-Lin
;
Lei, Zhen
收藏
  |  
浏览/下载:242/0
  |  
提交时间:2019/12/16
Metric learning
Feature extraction
Deep neural networks
Imbalance regularization
Person re-identification
Landslide Detection of Hyperspectral Remote Sensing Data Based on Deep Learning With Constrains
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 12, 页码: 5047-5060
作者:
Ye, Chengming
;
Li, Yao
;
Cui, Peng
;
Liang, Li
;
Pirasteh, Saeid
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/04/02
Terrain factors
Feature extraction
Hyperspectral imaging
Deep learning
Support vector machines
Deep belief network (DBN)
deep learning
feature extraction
hyperspectral data
landslide
Mammography-based radiomic analysis for predicting benign BI-RADS category 4 calcifications
期刊论文
EUROPEAN JOURNAL OF RADIOLOGY, 2019, 卷号: 121, 页码: 8
作者:
Lei, Chuqian
;
Wei, Wei
;
Liu, Zhenyu
;
Xiong, Qianqian
;
Yang, Ciqiu
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2020/03/30
Radiomics
Breast
Calcification
Predictive value of test
Unnecessary procedures
Searching for Hot Subdwarf Stars from the LAMOST Spectra. III. Classification of Hot Subdwarf Stars in the Fourth Data Release of LAMOST Using a Deep Learning Method
期刊论文
ASTROPHYSICAL JOURNAL, 2019, 卷号: 886, 期号: 2, 页码: 10
作者:
Bu, Yude
;
Zeng, Jingjing
;
Lei, Zhenxin
;
Yi, Zhenping
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/03/10
methods: data analysis
stars: statistics
subdwarfs
Evolving the pulmonary nodules diagnosis from classical approaches to deep learning-aided decision support: three decades' development course and future prospect
期刊论文
JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2019, 页码: 33
作者:
Liu, Bo
;
Chi, Wenhao
;
Li, Xinran
;
Li, Peng
;
Liang, Wenhua
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2020/05/24
Computer-aided diagnosis
Pulmonary nodules
Lung cancer
Deep learning
Artificial intelligence
Review
Experimental Simultaneous Learning of Multiple Nonclassical Correlations
期刊论文
PHYSICAL REVIEW LETTERS, 2019, 卷号: 123, 期号: 19, 页码: 6
作者:
Yang, Mu
;
Ren, Chang-liang
;
Ma, Yue-chi
;
Xiao, Ya
;
Ye, Xiang-Jun
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2020/08/24
Transfer channel pruning for compressing deep domain adaptation models
期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 卷号: 10, 期号: 11, 页码: 3129-3144
作者:
Yu, Chaohui
;
Wang, Jindong
;
Chen, Yiqiang
;
Qin, Xin
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2020/12/10
Unsupervised domain adaptation
Transfer channel pruning
Accelerating
Intelligent hepatitis diagnosis using adaptive neuro-fuzzy inference system and information gain method
期刊论文
SOFT COMPUTING, 2019, 卷号: 23, 期号: 21, 页码: 10931-10938
作者:
Ahmad, Waheed
;
Ahmad, Ayaz
;
Iqbal, Amjad
;
Hamayun, Muhammad
;
Hussain, Anwar
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  |  
浏览/下载:18/0
  |  
提交时间:2020/03/30
Information gain (IG)
The adaptive neuro-fuzzy inference system (ANFIS)
Hepatitis
Diagnosis
Machine learning
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