Improving dengue fever predictions in Taiwan based on feature selection and random forests. [PDF]
BMC Infect DisKuo CY, Yang WW, Su EC.
europepmc +1 more source
Using random forests to uncover the predictive power of distance-varying cell interactions in tumor microenvironments. [PDF]
PLoS Comput BiolVanderDoes J +5 more
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Random forests with parametric entropy-based information gains for classification and regression problems. [PDF]
PeerJ Comput SciIgnatenko V, Surkov A, Koltcov S.
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Fast Extraction Method of High-Level Feature Using Random Forests from Imbalanced Training Data
, 2010 Yoshihiko Kawai +4 more
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AI-driven discovery of blood xenobiotic biomarkers in neovascular age-related macular degeneration using iterative random forests. [PDF]
Graefes Arch Clin Exp OphthalmolKünzel SE +12 more
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Exploring the predictors affecting the sense of community of Korean high school students: application of random forests and SHAP. [PDF]
Front PsycholJang E, Chung H.
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Quantifying salinity in calcareous soils through advanced spectroscopic models: A comparative study of random forests and regression techniques across diverse land use systems. [PDF]
PLoS OneTahmoures M +4 more
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Incorporating Spatial Variability Measures in Land-cover Classification using Random Forest
, 2011 Víctor Rodríguez‐Galiano +5 more
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Random Forests: From the Study of Behaviors to Dynamic Induction
, 2009 Simon Bernard
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