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Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review

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Random forests for genomic data analysis

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A tutorial review: Metabolomics and partial least squares-discriminant analysis – a marriage of convenience or a shotgun wedding

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A global assessment of the social and conservation outcomes of protected areas

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VSURF: An R Package for Variable Selection Using Random Forests

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A Data-Driven Design for Fault Detection of Wind Turbines Using Random Forests and XGboost

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Machine learning assisted materials design and discovery for rechargeable batteries

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Variable selection using Mean Decrease Accuracy and Mean Decrease Gini based on Random Forest

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Analysis of machine learning techniques for heart failure readmissions

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Classification and prediction of diabetes disease using machine learning paradigm

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Random Forests for Big Data

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Towards the Deployment of Machine Learning Solutions in Network Traffic Classification: A Systematic Survey

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Resolving Transition Metal Chemical Space: Feature Selection for Machine Learning and Structure–Property Relationships

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Improved Early Crop Type Identification By Joint Use of High Temporal Resolution SAR And Optical Image Time Series

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Comparison of variable selection methods for clinical predictive modeling

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A comparison among interpretative proposals for Random Forests

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Combination of Feature Selection and CatBoost for Prediction: The First Application to the Estimation of Aboveground Biomass

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A Random Forest Machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat

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Similarity-based Android malware detection using Hamming distance of static binary features

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Statistical model optimized random forest regression model for concrete dam deformation monitoring

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Bacterial and viral respiratory tract microbiota and host characteristics in children with lower respiratory tract infections: a matched case-control study

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Variable Selection in Time Series Forecasting Using Random Forests

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A review on lubricant condition monitoring information analysis for maintenance decision support

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iForest: Interpreting Random Forests via Visual Analytics

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A new variable importance measure for random forests with missing data

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Evaluating the Performance of Sentinel-2, Landsat 8 and Pléiades-1 in Mapping Mangrove Extent and Species

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Ensemble machine learning models for the detection of energy theft

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Combining machine learning and process engineering physics towards enhanced accuracy and explainability of data-driven models

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The potency of defects on fatigue of additively manufactured metals

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Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction

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Data-Driven Approach for Fault Detection and Diagnostic in Semiconductor Manufacturing

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A Machine Learning Ensemble Approach Based on Random Forest and Radial Basis Function Neural Network for Risk Evaluation of Regional Flood Disaster: A Case Study of the Yangtze River Delta, China

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Multi-method ensemble selection of spectral bands related to leaf biochemistry

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A comparison of random forest and support vector machine approaches to predict coal spontaneous combustion in gob

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Comparison of random forests and other statistical methods for the prediction of lake water level: a case study of the Poyang Lake in China

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Land subsidence modelling using tree-based machine learning algorithms

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Real-time classification for autonomous drowsiness detection using eye aspect ratio

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Stream water quality prediction using boosted regression tree and random forest models

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Multi-scale object-based image analysis and feature selection of multi-sensor earth observation imagery using random forests

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Influence of Variable Selection and Forest Type on Forest Aboveground Biomass Estimation Using Machine Learning Algorithms

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Integration of Optical and Synthetic Aperture Radar Imagery for Improving Crop Mapping in Northwestern Benin, West Africa

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Conditional permutation importance revisited

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Prediction of Bus Travel Time Using Random Forests Based on Near Neighbors

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Severe fire weather and intensive forest management increase fire severity in a multi‐ownership landscape

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Forest Fire Probability Mapping in Eastern Serbia: Logistic Regression versus Random Forest Method

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A framework for feature selection through boosting

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Identifying dominant environmental predictors of freshwater wetland methane fluxes across diurnal to seasonal time scales

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Uncertainty analysis of gross primary production upscaling using Random Forests, remote sensing and eddy covariance data

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Estimation of the forest stand mean height and aboveground biomass in Northeast China using SAR Sentinel-1B, multispectral Sentinel-2A, and DEM imagery

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Cost-sensitive feature selection using random forest: Selecting low-cost subsets of informative features

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Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam)

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Random Forests: some methodological insightsPreprint

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Random Forests Variable Selection

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Random forests variable importances Towards a better understanding and large-scale feature selection

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Identification of Statistically Significant Features from Random Forests

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VSURF: An R Package for Variable Selection Using Random Forests

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