Deep exploration and precise identification of key risk factors for diabetic peripheral neuropathy using the random forest algorithm. [PDF]
Li Y, Li Y, Sen G, Hu B.
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Mapping coastal transformations with a novel Cellular Automata-Markov-Random forest framework for land use change modeling. [PDF]
Nikoo MR, Zarei E, Al-Wardy M.
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Correction: A two-stage forecasting model using random forest subset-based feature selection and BiGRU with attention mechanism: Application to stock indices. [PDF]
Azman S, Pathmanathan D, Balakrishnan V.
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Using a random forest model to predict volume growth of larch, birch, and their mixed forests in northern China. [PDF]
Zhang J +5 more
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Estimating cognitive workload in robot assisted surgery using time and frequency features from EEG epochs with random forest regression. [PDF]
Atheef G A M, Powar OS.
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Exploring father-adolescent closeness: A random forest approach. [PDF]
Pace GT, Lee JY, Ward KP, Chang OD.
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Hemodynamic determinants of postoperative neurocognitive impairment using Random Forest analysis and partial dependence plots. [PDF]
Kiziltas FS +7 more
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