Classification Surrogates
Classification Surrogates is a type of surrogate model that, within the genus of classification models, differs by serving as an interpretable or computationally efficient approximation of a more complex classifier, designed to mimic its decision boundary while enabling analysis, validation, or deployment under resource constraints.
52
Publications
2.1K
Citations
177
Authors
106
Institutions
Publications per year
2017–2026
23
Parents
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Inês Vasconcelos, Afsana Hussainzada, Stefan Berger et al. · The Breast · 2016 · 123 citations · Full text
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International Institute of Information Technology, Hyderabad, India
2 publications · 56 citations
2
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2
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2
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1–5 of 177
106

Indian Institute of Science Bangalore
Bengaluru, India
2 h-index
4 publications
54 citations

University of Oulu
Oulu, Finland
2 h-index
4 publications
95 citations
Beijing Shijitan Hospital
Beijing, China
2 h-index
3 publications
129 citations
École Polytechnique
Palaiseau, France
2 h-index
2 publications
77 citations

University of Plymouth
Plymouth, United Kingdom
2 h-index
6 publications
75 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
5 publications
84 citations
University of Michigan
Ann Arbor, United States
2 h-index
4 publications
117 citations
Université Paris Cité
Paris, France
2 h-index
5 publications
196 citations
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Repository · 6 publications · 147 citations
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3 publications · 211 citations
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2 publications · 76 citations
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JVS · 2 publications · 25 citations
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2 publications · 229 citations
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