Private Split
Private Split is a dataset partitioning methodology within machine learning that belongs to the class of data splitting techniques, distinguished by its enforcement of strict separation between private and public data subsets to prevent information leakage and ensure unbiased model evaluation.
7
Publications
311
Citations
20
Authors
11
Institutions
Publications per year
2017–2026
1
Parents
7
Sushmita Das, Glyn Alcock, Kishwar Azad et al. · BMC Pregnancy and Childbirth · 2016 · 55 citations · Full text
Feminist Institutionalism and Neoliberalism
William T. Waller, Mary V. Wrenn · Feminist Economics · 2021 · 27 citations
1–5 of 7
20
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Society for Nutrition Education and Health Action, India
1 publications · 55 citations
1
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1
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1
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1–5 of 20
11
Mother and Infant Research Activities
Kathmandu, Nepal
1 h-index
2 publications
110 citations
The George Institute for Global Health
London, United Kingdom
1 h-index
3 publications
165 citations
Erasmus MC
Rotterdam, The Netherlands
1 h-index
1 publications
55 citations
University College London
London, United Kingdom
1 h-index
3 publications
165 citations

Lee University
Cleveland, United States
1 h-index
1 publications
15 citations
Twitter (United States)
San Francisco, United States
1 h-index
1 publications
27 citations
Ekjut
Chakradharpur, India
1 h-index
2 publications
110 citations

University of Essex
Colchester, United Kingdom
1 h-index
2 publications
22 citations
1–8 of 11
1 publications · 15 citations
1
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PAS · 1 publications · 49 citations
1
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1 publications · 27 citations
1
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1 publications · 11 citations
1
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1 publications · 55 citations
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