Voting Ensembles
Voting Ensembles is a machine learning technique that combines the predictions of multiple base models through majority or weighted voting to improve generalization and robustness over individual classifiers.
453
Publications
25.7K
Citations
1.3K
Authors
629
Institutions
Publications per year
2017–2026
242
Variants
Ensemble Voting
Parents
453
1–5 of 453
1.3K
National University of Sciences and Technology, Pakistan
6 publications · 345 citations
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6
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5
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4
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1–5 of 1.3K
629
National University of Sciences and Technology
Islamabad, Pakistan
8 h-index
30 publications
1.3K citations

Universidad de Granada
Granada, Spain
7 h-index
19 publications
4.1K citations

Bangor University
Bangor, United Kingdom
6 h-index
11 publications
2.1K citations

Wrocław University of Science and Technology
Wroclaw, Poland
5 h-index
8 publications
402 citations
Nanyang Technological University
Singapore, Singapore
5 h-index
10 publications
1.6K citations
University of South Florida
Tampa, United States
4 h-index
9 publications
596 citations
Vellore Institute of Technology University
Vellore, India
4 h-index
6 publications
370 citations
University of Córdoba
Córdoba, Spain
4 h-index
9 publications
395 citations
1–8 of 629
21 publications · 1.9K citations
20
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15 publications · 758 citations
13
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12 publications · 1.9K citations
11
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Repository · 10 publications · 245 citations
10
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9 publications · 1.3K citations
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