Hybrid Data Classification
Hybrid Data Classification is a data classification method that integrates both automated computational techniques and manual human oversight to improve accuracy and contextual relevance in categorizing data.
93
Publications
3.4K
Citations
292
Authors
146
Institutions
Publications per year
2017–2026
50
Parents
93
Brain tumor classification based on hybrid approach
Imen Charfi, Wajdi Elhamzi, Mohamed Atri · The Visual Computer · 2020 · 117 citations
Medicine, Neurosurgery, Oncology +14
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146
Wuhan University
Wuhan, China
3 h-index
5 publications
304 citations
Shanxi University
Taiyuan, China
3 h-index
9 publications
335 citations
Saveetha University
Chennai, India
2 h-index
2 publications
102 citations

Lovely Professional University
Phagwāra, India
2 h-index
2 publications
102 citations

Instituto Politécnico Nacional
Mexico City, Mexico
2 h-index
3 publications
36 citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
2 h-index
7 publications
126 citations
Vellore Institute of Technology University
Vellore, India
2 h-index
3 publications
207 citations

Hunan University
Changsha, China
2 h-index
5 publications
270 citations
1–8 of 146
4 publications · 118 citations
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3 publications · 141 citations
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2 publications · 88 citations
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Conference · 2 publications · 34 citations
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2 publications · 142 citations
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