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Adele Cutler
Researcher at Utah State University
Publications - 31
Citations - 4935
Adele Cutler is an academic researcher from Utah State University. The author has contributed to research in topics: Random forest & Global optimization. The author has an hindex of 18, co-authored 31 publications receiving 4225 citations. Previous affiliations of Adele Cutler include Duke University.
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Journal ArticleDOI
Random Forests for Classification in Ecology
D. Richard Cutler,Thomas C. Edwards,Thomas C. Edwards,Karen H. Beard,Adele Cutler,Kyle Hess,Jacob Gibson,Joshua J. Lawler +7 more
TL;DR: High classification accuracy in all applications as measured by cross-validation and, in the case of the lichen data, by independent test data, when comparing RF to other common classification methods are observed.
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An application of Random Forests to a genome-wide association dataset: Methodological considerations & new findings
TL;DR: This study presents one of the first illustrations of successfully analyzing GWA data with a machine learning algorithm, and it is shown that RF is computationally feasible for G WA data and the results obtained make biologic sense based on previous studies.
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Prospective study of Dietary Approaches to Stop Hypertension– and Mediterranean-style dietary patterns and age-related cognitive change: the Cache County Study on Memory, Health and Aging
Heidi Wengreen,Ronald G. Munger,Adele Cutler,Anna Quach,Austin Bowles,Chris Corcoran,JoAnn T. Tschanz,Maria C. Norton,Kathleen A. Welsh-Bohmer +8 more
TL;DR: Higher levels of accordance with both the DASH and Mediterranean dietary patterns were associated with consistently higher levels of cognitive function in elderly men and women over an 11-y period and may be core neuroprotective foods common to various healthy plant-centered diets around the globe.
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A deterministic algorithm for global optimization
Leo Breiman,Adele Cutler +1 more
TL;DR: An algorithm for finding the global maximum of a multimodal, multivariate function for which derivatives are available that assumes a bound on the second derivatives of the function and uses this to construct an upper envelope.
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The transmission disequilibrium test suggests that HLA-DR4 and DR13 are linked to autism spectrum disorder.
TL;DR: The TDT results suggest that DR4 and DR13 are linked to ASD, and coincide with current genetic research noting possible parent-of-origin effects in autism.