Machine Learning Yield Modeling
Machine Learning Yield Modeling is a computational approach within yield estimation that employs machine learning algorithms to predict production outcomes by learning complex patterns from empirical data, distinguishing itself from traditional statistical or rule-based models through its adaptive, data-driven modeling capability.
424
Publications
24.1K
Citations
1.5K
Authors
617
Institutions
Publications per year
2017–2026
351
Parents
424
Bond Risk Premiums with Machine Learning
Daniele Bianchi, Matthias Büchner, Andrea Tamoni · Review of Financial Studies · 2020 · 411 citations
1–5 of 424
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617
Vellore Institute of Technology University
Vellore, India
8 h-index
19 publications
1.2K citations
Agricultural Research & Education Organization
Tehran, Iran
7 h-index
9 publications
737 citations
Wageningen University & Research
Wageningen, The Netherlands
7 h-index
27 publications
7.4K citations

University of Life Sciences in Poznań
Poznań, Poland
6 h-index
11 publications
565 citations
National Tsing Hua University
Hsinchu, Taiwan
6 h-index
17 publications
1.8K citations
Koneru Lakshmaiah Education Foundation
Vijayawada, India
5 h-index
15 publications
1.6K citations
University of Wisconsin–Madison
Madison, United States
5 h-index
6 publications
208 citations

University of Tehran
Tehran, Iran
5 h-index
12 publications
636 citations
1–8 of 617
20 publications · 3K citations
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9 publications · 728 citations
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9 publications · 391 citations
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6 publications · 490 citations
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5 publications · 178 citations
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