Conditional Feature Interactions
Conditional Feature Interactions is a modeling framework in machine learning that captures feature dependencies whose effects on the outcome variable are contingent upon the values of other conditioning features, thereby enabling more interpretable and adaptive representations of complex interaction structures.
31
Publications
1.5K
Citations
82
Authors
40
Institutions
Publications per year
2017–2026
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University of Auckland
Auckland, New Zealand
2 h-index
3 publications
74 citations

University of Ottawa
Ottawa, Canada
2 h-index
5 publications
58 citations

Université du Québec en Outaouais
Gatineau, Canada
2 h-index
2 publications
32 citations

Hefei University of Technology
Hefei, China
1 h-index
1 publications
113 citations

University of Ljubljana
Ljubljana, Slovenia
1 h-index
3 publications
372 citations
Politecnico di Milano
Milan, Italy
1 h-index
2 publications
94 citations
RWTH Aachen University
Aachen, Germany
1 h-index
1 publications
20 citations
Centre de Recherche sur les Risques et les Crises
Sophia Antipolis, France
1 h-index
1 publications
47 citations
1–8 of 40
5 publications · 151 citations
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5 publications · 88 citations
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JNCA · 1 publications · 10 citations
1
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1 publications · 113 citations
1
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1 publications · 42 citations
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