Machine Learning-based Weight Estimation
Machine Learning-Based Weight Estimation is a computational approach within the domain of weight prediction that employs machine learning algorithms to model and estimate body weight from input features such as anthropometric measurements, medical imaging, or sensor-derived data, distinguished by its reliance on data-driven learning rather than rule-based or statistical modeling techniques.
100
Publications
3.2K
Citations
472
Authors
241
Institutions
Publications per year
2017–2026
72
Parents
100
S. Chowdhury, P. Mayilvahanan, Ramya Govindaraj · International Journal of Computers and Applications · 2020 · 93 citations
Reweighting with Boosted Decision Trees
Journal of Physics Conference Series · 2016 · 81 citations · Full text
Computing, Computer Science, Physics +13
1–5 of 100
472
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Federal Scientific Center for Biological Systems and Agricultural Technologies of the Russian Academy of Sciences, Russia
3 publications · 117 citations
3
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3
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3
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1–5 of 472
241
China Agricultural University
Beijing, China
5 h-index
13 publications
547 citations

Chelyabinsk State University
Chelyabinsk, Russia
4 h-index
9 publications
328 citations
Ministry of Agriculture and Rural Affairs
Beijing, China
4 h-index
13 publications
489 citations
Federal Scientific Center for Biological Systems and Agricultural Technologies of the Russian Academy of Sciences
Orenburg, Russia
4 h-index
11 publications
451 citations
Iğdır Üniversitesi
Iğdır, Türkiye
3 h-index
4 publications
140 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
11 publications
481 citations
Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir
Srinagar, India
2 h-index
8 publications
122 citations
National Institute of Animal Science
Wanju, South Korea
2 h-index
8 publications
186 citations
1–8 of 241
8 publications · 211 citations
8
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4 publications · 174 citations
4
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2 publications · 29 citations
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Conference · 2 publications · 76 citations
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2 publications · 56 citations
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