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科研机构
湖南大学 [5]
武汉大学 [2]
北京大学 [1]
复旦大学上海医学院 [1]
合肥物质科学研究院 [1]
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期刊论文 [10]
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2021 [1]
2019 [3]
2018 [3]
2017 [3]
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Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)
期刊论文
AUTOPHAGY, 2021, 卷号: 17
作者:
Klionsky, Daniel J.
;
Abdel-Aziz, Amal Kamal
;
Abdelfatah, Sara
;
Abdellatif, Mahmoud
;
Abdoli, Asghar
收藏
  |  
浏览/下载:274/0
  |  
提交时间:2021/05/31
Autophagosome
cancer
flux
LC3
lysosome
macroautophagy
neurodegeneration
phagophore
stress
vacuole
Alirocumab Reduces Total Nonfatal Cardiovascular and Fatal Events The ODYSSEY OUTCOMES Trial
期刊论文
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2019, 卷号: 73, 期号: 4
作者:
Szarek, Michael
;
White, Harvey D.
;
Schwartz, Gregory G.
;
Alings, Marco
;
Bhatt, Deepak L.
收藏
  |  
浏览/下载:138/0
  |  
提交时间:2019/12/05
acute coronary syndrome
alirocumab
total events
Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.2, 页码: 755-769
作者:
Nanjun He
;
Mercedes E. Paoletti
;
Juan Mario Haut
;
Leyuan Fang
;
Shutao Li
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/12/13
Feature extraction
Hyperspectral imaging
Training
Convolutional neural networks
Electronic mail
Computational modeling
Data augmentation
deep convolutional neural networks (CNNs)
hyperspectral image (HIS) classification
multiscale covariance maps (MCMs)
Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification.
期刊论文
IEEE Transactions on Geoscience & Remote Sensing, 2019, 卷号: Vol.57 No.2, 页码: 755-769
作者:
Nanjun He
;
Paoletti, Mercedes E.
;
Haut, Juan Mario
;
Leyuan Fang
;
Shutao Li
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/13
Data augmentation
deep convolutional neural networks (CNNs)
hyperspectral image (HIS) classification
multiscale covariance maps (MCMs)
Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2018, 卷号: Vol.56 No.12, 页码: 6899-6910
作者:
Nanjun He
;
Leyuan Fang
;
Shutao Li
;
Antonio Plaza
;
Javier Plaza
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/26
Feature extraction
Remote sensing
Nonhomogeneous media
Support vector machines
Covariance matrices
Computational modeling
Semantics
Feature fusion
multilayer feature maps
pretrained convolutional neural networks (CNN)
remote sensing scene classification
Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling.
期刊论文
IEEE Transactions on Geoscience & Remote Sensing, 2018, 卷号: Vol.56 No.12, 页码: 6899-6910
作者:
He, Nanjun
;
Fang, Leyuan
;
Li, Shutao
;
Plaza, Antonio
;
Plaza, Javier
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/26
Computational modeling
Covariance matrices
Feature extraction
Feature fusion
multilayer feature maps
Nonhomogeneous media
pretrained convolutional neural networks (CNN)
Remote sensing
remote sensing scene classification
Semantics
Support vector machines
Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 卷号: Vol.56 No.12, 页码: 6899-6910
作者:
He, Nanjun
;
Fang, Leyuan
;
Li, Shutao
;
Plaza, Antonio
;
Plaza, Javier
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/26
Feature fusion
multilayer feature maps
pre-trained convolutional neural networks (CNN)
remote sensing scene classification
Social Media: New Perspectives to Improve Remote Sensing for Emergency Response
期刊论文
PROCEEDINGS OF THE IEEE, 2017
Li, Jun
;
He, Zhi
;
Plaza, Javier
;
Li, Shutao
;
Chen, Jinfen
;
Wu, Henglin
;
Wang, Yandong
;
Liu, Yu
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2017/12/03
Deep learning
emergency response
remote sensing
social media
VOLUNTEERED GEOGRAPHIC INFORMATION
CONVOLUTIONAL NEURAL-NETWORKS
LANDSAT TM DATA
DISASTER MANAGEMENT
EVENT DETECTION
BIG DATA
IMAGE CLASSIFICATION
OBJECT DETECTION
FLOOD
GIS
Social Media: New Perspectives to Improve Remote Sensing for Emergency Response
期刊论文
PROCEEDINGS OF THE IEEE, 2017, 卷号: 105, 期号: 10
作者:
Li, Jun
;
He, Zhi
;
Plaza, Javier
;
Li, Shutao
;
Chen, Jinfen
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/05
Deep learning
emergency response
remote sensing
social media
Social Media: New Perspectives to Improve Remote Sensing for Emergency Response
期刊论文
PROCEEDINGS OF THE IEEE, 2017, 卷号: 105, 期号: 10
作者:
Li, Jun
;
He, Zhi
;
Plaza, Javier
;
Li, Shutao
;
Chen, Jinfen
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/05
Deep learning
emergency response
remote sensing
social media
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