Monotonic Models
Monotonic Models is a class of machine learning models in which the predicted output exhibits a guaranteed non-decreasing or non-increasing relationship with respect to specified input features, ensuring that model decisions adhere to predefined monotonicity constraints for enhanced interpretability and trustworthiness in explainable machine learning.
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The Use of the Rank Transform in Regression
Ronald L. Iman, W. J. Conover · Technometrics · 1979 · 469 citations
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North Carolina State University
Raleigh, United States
5 h-index
6 publications
372 citations
The University of Texas at Austin
Austin, United States
5 h-index
6 publications
820 citations
Stanford University
Stanford, United States
5 h-index
9 publications
701 citations

Leipzig University of Applied Sciences
Leipzig, Germany
5 h-index
7 publications
357 citations
Harvard University
Cambridge, United States
4 h-index
6 publications
547 citations
ETH Zurich
Zurich, Switzerland
4 h-index
7 publications
366 citations
University of Wisconsin–Madison
Madison, United States
4 h-index
7 publications
522 citations
Florida State University
Tallahassee, United States
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5 publications
295 citations
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Repository · 8 publications · 223 citations
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7 publications · 978 citations
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Repository · 5 publications · 136 citations
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