Keywords: جنگل تصادفی (RF); Enzyme classification; Multiclass SVM; Sequential Forward Floating Selection (SFFS); Orthogonal Forward Selection (OFS); SVM Recursive Feature Elimination (SVM-RFE); Random Forest (RF);
مقالات ISI جنگل تصادفی (RF) (ترجمه نشده)
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Keywords: جنگل تصادفی (RF); Electroencephalogram (EEG); Discrete Wavelet transformation (DWT); Correlation-based Feature Selection (CFS); Improved Correlation-based Feature Selection (ICFS); Random Forest (RF);
Keywords: جنگل تصادفی (RF); Categorical data imputation; Probabilistic Neural Network (PNN); Random Forest (RF); Decision Tree (DT);
Keywords: جنگل تصادفی (RF); Completed local binary pattern (CLBP); Histology slide images; Mitosis counting; Statistical moments entropy (SME); Random forest (RF); Stiffness matrix (SM)
Keywords: جنگل تصادفی (RF); (RF), Random forests; MCC, Matthews correlation coefficient; AUC, Area under the curve; ROC, Receiver operating characteristicPalmitoylation sites; Random forest (RF); Multi amino acid features
Keywords: جنگل تصادفی (RF); Kinase-specific phosphorylation site; Distinct residues; Domain-domain interaction (DDI); Random forest (RF); Difference analysis;
Keywords: جنگل تصادفی (RF); Random forest (RF); Artificial neural network (ANN); Quantitative structure–retention relationship (QSRR); Polycyclic aromatic hydrocarbons (PAHs)
Keywords: جنگل تصادفی (RF); Classification and regression tree (CART); Random forest (RF); Performance in mathematics; Student profiles; Educational expectations
Improvement of rainfall estimation from MSG data using Random Forests classification and regression
Keywords: جنگل تصادفی (RF); Rainfall estimation; Learning machine; Random Forest (RF); Meteosat Second Generation (MSG);
Species-related single dead tree detection using multi-temporal ALS data and CIR imagery
Keywords: جنگل تصادفی (RF); Airborne laser scanning (ALS); Color-infrared (CIR) aerial images; Multi-temporal data; Individual dead tree; Random forest (RF);
QSAR models for predicting the bioactivity of Polo-like Kinase 1 inhibitors
Keywords: جنگل تصادفی (RF); Polo-like kinase 1 (PLK1) inhibitors; Kohonen's Self-Organizing Map (SOM); Support Vector Machine (SVM); Naive Bayes (NB); C4.5 Decision Tree (C4.5 DT); Random Forest (RF);
Stacked sparse autoencoder in hyperspectral data classification using spectral-spatial, higher order statistics and multifractal spectrum features
Keywords: جنگل تصادفی (RF); Classification; Hyperspectral imagery; Feature-level fusion (FLF); Stacked sparse autoencoder (SSA); Random forest (RF);
Propensity score analysis (PSA) for sensory causal inference – Global consumer psychographics and applications for phytonutrient supplements
Keywords: جنگل تصادفی (RF); Psychographics; Causal inference; Random Forest (RF); Propensity score analysis (PSA)
Automatic white matter lesion segmentation using contrast enhanced FLAIR intensity and Markov Random Field
Keywords: جنگل تصادفی (RF); White matter lesions (WMLs); Magnetic resonance imaging (MRI); Random forest (RF); Markov Random Field (MRF); Cerebrovascular diseases;
A framework for mapping tree species combining hyperspectral and LiDAR data: Role of selected classifiers and sensor across three spatial scales
Keywords: جنگل تصادفی (RF); Hyperspectral; nDSM; Support Vector Machines (SVM); Random Forest (RF); Scale; Tree species classification;
Prediction of kinase-specific phosphorylational interactions using random forest
Keywords: جنگل تصادفی (RF); Kinase; Substrate; Phosphorylation; Protein–protein interaction (PPI); Random forest (RF); Permutation importance analysis
Using random forest to classify T-cell epitopes based on amino acid properties and molecular features
Keywords: جنگل تصادفی (RF); RF, random forest; MHC, major histocompatibility complex; TCRs, T cell receptorsAmino acid properties; Chemical molecular features; Random forest (RF); T-cell epitopes
In silico prediction of unbound brain-to-plasma concentration ratio using machine learning algorithms
Keywords: جنگل تصادفی (RF); Quantitative structure–activity relationship (QSAR); Unbound brain-to-plasma concentration ratio; Total brain-to-plasma concentration ratio; Random forest (RF); Support vector machine (SVM); Partial least squares (PLS)
Automatic feature subset selection for decision tree-based ensemble methods in the prediction of bioactivity
Keywords: جنگل تصادفی (RF); Feature selection; Bagging; Boosting; Random Forest (RF); Classification and Regression Tree (CART); Ensemble learning
A rapid computational filter for predicting the rate of human renal clearance
Keywords: جنگل تصادفی (RF); Quantitative structure–activity relationship (QSAR); Human renal clearance; Partial Least Squares (PLS); Classification And Regression Trees (CART); Random Forest (RF)