Box Classification
Box Classification is an academic contribution categorized as a discrete, paper-level innovation—such as a method, model, framework, theory, construct, dataset, task, or metric—that is directly subsumed under the parent topic of Domestic Support.
14
Publications
1.3K
Citations
49
Authors
21
Institutions
Publications per year
2017–2026
9
Parents
14
SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking
Dongyan Guo, Jun Wang, Ying Cui et al. · 2020 · 922 citations
Automatic stock decision support system based on box theory and SVM algorithm
Qinghua Wen, Zehong Yang, Yixu Song et al. · Expert Systems with Applications · 2009 · 102 citations
Business, Decision Sciences, Finance +15
Jiale Cao, Yanwei Pang, Jungong Han et al. · 2019 · 85 citations
SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking
Dongyan Guo, Jun Wang, Ying Cui et al. · arXiv (Cornell University) · 2019 · 41 citations · Full text
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21

Tianjin University of Technology
Tianjin, China
2 h-index
2 publications
963 citations

Zhejiang University of Technology
Hangzhou, China
2 h-index
8 publications
3.9K citations
Tsinghua University
Beijing, China
1 h-index
4 publications
408 citations

Boeing (United States)
Chicago, United States
1 h-index
1 publications
10 citations

Chinese Academy of Sciences
Beijing, China
1 h-index
3 publications
42 citations
Littoral, Environnement, Télédétection, Géomatique
Rennes, France
1 h-index
4 publications
60 citations
Shandong Institute of Automation
Jinan, China
1 h-index
3 publications
42 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
4 publications
60 citations
1–8 of 21
2 publications · 25 citations
2
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Repository · 2 publications · 66 citations
2
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3 publications · 54 citations
2
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Conference · 1 publications · 16 citations
1
h-index
1 publications · 102 citations
1
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1–5