Sample Expansion
Sample Expansion is a methodological technique within synthetic population generation that belongs to the class of data augmentation strategies, distinguished by its focus on increasing the size and representativeness of an initial sample through the integration of auxiliary data and statistical inference to generate a comprehensive, micro-level population structure.
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2017–2026
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Don C. Des Jarlais, Theresa E. Perlis, Kamyar Arasteh et al. · American Journal of Public Health · 2005 · 189 citations · Full text
Public Health, Infectious Disease Control, Preventive Medicine +14
Transformation Invariant Few-Shot Object Detection
Aoxue Li, Zhenguo Li · 2021 · 95 citations
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University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
7 publications
281 citations

Lawrence Livermore National Laboratory
Livermore, United States
2 h-index
8 publications
315 citations
Guizhou Education University
Guiyang, China
2 h-index
2 publications
32 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
13 publications
458 citations
China University of Mining and Technology
Xuzhou, China
2 h-index
7 publications
348 citations

European X-Ray Free-Electron Laser
Schenefeld, Germany
2 h-index
3 publications
81 citations
University of California, Berkeley
Berkeley, United States
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4 publications
171 citations

Guizhou University
Guiyang, China
2 h-index
7 publications
117 citations
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3 publications · 138 citations
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POQ · 2 publications · 36 citations
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2 publications · 120 citations
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2 publications · 135 citations
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BOE · 2 publications · 47 citations
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