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Samuel Fernandes

Researcher at University of Illinois at Urbana–Champaign

Publications -  72
Citations -  950

Samuel Fernandes is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 12, co-authored 54 publications receiving 559 citations. Previous affiliations of Samuel Fernandes include Universidade Federal de Lavras & Lawrence Berkeley National Laboratory.

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Gradient boosting machine for modeling the energy consumption of commercial buildings

TL;DR: The results show that using the gradient boosting machine model improved the R‐squared prediction accuracy and the CV(RMSE) in more than 80 percent of the cases, when compared to an industry best practice model that is based on piecewise linear regression, and to a random forest algorithm.
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Efficiency of multi-trait, indirect, and trait-assisted genomic selection for improvement of biomass sorghum.

TL;DR: Trait-assisted GS can be an efficient strategy when correlated traits are obtained earlier or more inexpensively than a focal trait, and suggests that trait-assisted genomic selection performs best.
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Accuracy of automated measurement and verification (M&V) techniques for energy savings in commercial buildings

TL;DR: In this article, the authors present a testing procedure and metrics to assess the performance of whole-building M&V methods, and illustrate the test procedure by evaluating the accuracy of ten baseline energy use models, against measured data from a large dataset of 537 buildings.
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Deleterious Mutation Burden and Its Association with Complex Traits in Sorghum ( Sorghum bicolor ).

TL;DR: Results suggest that incorporating putatively deleterious variants into genomic models slightly improves prediction accuracy because of extensive linkage, and could be leveraged for sorghum breeding through either genome editing and/or conventional breeding that focuses on the selection of progeny with fewer deleteriously alleles.