S
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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Journal ArticleDOI
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
Jessica Granderson,Samir Touzani,Claudine Custodio,Michael D. Sohn,David Jump,Samuel Fernandes +5 more
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 ).
Ravi Valluru,Elodie Gazave,Samuel Fernandes,John N. Ferguson,Roberto Lozano,Pradeep Hirannaiah,Tao Zuo,Patrick J. Brown,Andrew D. B. Leakey,Michael A. Gore,Edward S. Buckler,Edward S. Buckler,Nonoy Bandillo +12 more
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.
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Comparative evolutionary genetics of deleterious load in sorghum and maize
Roberto Lozano,Elodie Gazave,Jhonathan P. R. dos Santos,Jhonathan P. R. dos Santos,Markus G Stetter,Ravi Valluru,Ravi Valluru,Nonoy Bandillo,Nonoy Bandillo,Samuel Fernandes,Patrick J. Brown,Nadia Shakoor,Todd C. Mockler,Elizabeth A. Cooper,M. Taylor Perkins,Edward S. Buckler,Edward S. Buckler,Jeffrey Ross-Ibarra,Michael A. Gore +18 more
TL;DR: In this article, a comparison of deleterious burden between maize and sorghum was made, and it was shown that maize, in contrast to Sorghum, departed from the domestication-cost hypothesis that predicts a higher deleterius burden among domesticates compared with wild lines.