One-hot Encoding
One-Hot Encoding is a categorical encoding technique that transforms a single categorical variable into multiple binary variables by assigning a unique binary vector to each category, where only one element is 1 and all others are 0.
191
Publications
12.9K
Citations
711
Authors
296
Institutions
Publications per year
2017–2026
165
Variants
One-of-k EncodingOne-of-n Encoding
191
Neural Factorization Machines for Sparse Predictive Analytics
Xiangnan He, Tat‐Seng Chua · 2017 · 1.3K citations
Product-Based Neural Networks for User Response Prediction
Beyond one-hot encoding: Lower dimensional target embedding
Pau Rodríguez, Miguel Ángel Bautista, Jordi Gonzàlez et al. · Image and Vision Computing · 2018 · 466 citations · Full text
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296

Shanghai Jiao Tong University
Shanghai, China
7 h-index
27 publications
5K citations

Zhejiang University
Hangzhou, China
5 h-index
11 publications
249 citations
Tencent (China)
Shenzhen, China
5 h-index
9 publications
475 citations
Florida Atlantic University
Boca Raton, United States
4 h-index
8 publications
150 citations
Jeonbuk National University
Jeonju, South Korea
4 h-index
13 publications
566 citations
Dalian University of Technology
Dalian, China
4 h-index
12 publications
900 citations
Tianjin University
Tianjin, China
4 h-index
4 publications
296 citations
University of Washington
Seattle, United States
4 h-index
11 publications
1.7K citations
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Repository · 16 publications · 1.9K citations
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8 publications · 715 citations
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6 publications · 213 citations
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TKDE · 4 publications · 166 citations
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4 publications · 191 citations
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