Feature Binning
Feature Binning is a domain-specific feature engineering technique that discretizes continuous or categorical input variables into discrete intervals or bins to enhance model interpretability and performance by capturing non-linear relationships.
17
Publications
32.2K
Citations
63
Authors
39
Institutions
Publications per year
2017–2026
5
17
Histograms of Oriented Gradients for Human Detection
Navneet Dalal, Bill Triggs · 2005 · 31.9K citations · Full text
1–5 of 17
63
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 63
39

Pennsylvania State University
State College, United States
2 h-index
3 publications
38 citations

Arab American University
Jenin, Palestinian Territory
1 h-index
1 publications
25 citations
Lac Hong University
Biên Hòa, Vietnam
1 h-index
1 publications
47 citations
Taif University
Ta'if, Saudi Arabia
1 h-index
1 publications
25 citations
Fraunhofer Chalmers Research Centre for Industrial Mathematics
Gothenburg, Sweden
1 h-index
1 publications
42 citations
Geisinger Neuroscience Institute
Danville, United States
1 h-index
4 publications
48 citations
Stanford University
Stanford, United States
1 h-index
1 publications
19 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
1 h-index
2 publications
63.8K citations
1–8 of 39
1 publications · 13 citations
1
h-index
1 publications · 12 citations
1
h-index
TKDE · 1 publications · 19 citations
1
h-index
1 publications · 25 citations
1
h-index
Repository · 1 publications · 19 citations
1
h-index
1–5