ACS applied materials & interfaces

Scientific reports

Materials (Basel, Switzerland)

Environmental pollution (Barking, Essex : 1987)

PloS one

Environment international

spectrochimica acta part a, molecular and biomolecular spectroscopy

Journal of dairy science

Sensors (Basel, Switzerland)

conference proceedings : annual international conference of the ieee engineering in medicine and biology society ieee engineering in medicine and biology society annual conference

BMC Bioinformatics

The Science of the total environment

Journal of hazardous materials

medicinal research reviews

analytical biochemistry

Environmental monitoring and assessment

Global change biology

ieee transactions on medical imaging

nursing research

Molecular phylogenetics and evolution

artificial intelligence in medicine

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies

Sexually Transmitted Diseases

plant methods

zoonoses and public health

Applied optics

[1] Decision Tree Methods for Predicting Surface Roughness in Fused Deposition Modeling Parts.

[2] Gap-filling approaches for eddy covariance methane fluxes: A comparison of three machine learning algorithms and a traditional method with principal component analysis.

[3] Using game theory and decision decomposition to effectively discern and characterise bi-locus diseases.

[4] Determination of the food dye indigotine in cream by near-infrared spectroscopy technology combined with random forest model.

[5] Ranking near-native candidate protein structures via random forest classification.

[6] Effect of different regression algorithms on the estimating leaf parameters based on selected characteristic wavelengths by using the PROSPECT model.

[7] Land use affects lowland stream ecosystems through dissolved oxygen regimes.

[8] Land use/land cover change and land surface temperature of Ibadan and environs, Nigeria.

[9] A Machine Learning Based Intrusion Detection System for Mobile Internet of Things.

[10] Secure Processing of Stream Cipher Encrypted Data Issued from IOT: Application to a Connected Knee Prosthesis.

[11] A New Fracture Liaison Service Using the Mobile Application and IoT Sensor.

[12] Real-time integration of emotion analysis into homecare platforms.

[13] Secure Stream Processing for Medical Data.

[14] Gait Analysis Using Stereo Camera in Daily Environment.

[15] An Instrumented Measurement Scheme for the Assessment of Upper Limb Function in Individuals with Friedreich Ataxia.

[16] Morphological Area Gradient: System-independent Dense Tissue Segmentation in Mammography Images.

[17] Smart Phone based Snoring Sound analysis to Identify Upper Airway Obstructions.

[18] A prototype system of portable laser speckle imager based on embedded graphics processing unit platform.

[19] Real-Time Cognitive Workload Monitoring Based on Machine Learning Using Physiological Signals in Rescue Missions.

[20] Automatic Collateral Scoring from 3D CTA Images.

[21] Self-healing dielectric elastomers for damage tolerant actuation and energy harvesting.

[22] Inspector: A lysine succinylation predictor based on edited nearest-neighbor undersampling and adaptive synthetic oversampling.

[23] Using machine learning to estimate herbage production and nutrient uptake on Irish dairy farms.

[24] Pattern recognition algorithm and software design of an optical fiber vibration signal based on Φ-optical time-domain reflectometry.

[25] A demonstration of unsupervised machine learning in species delimitation.

[26] Detection of oil pollution impacts on vegetation using multifrequency SAR, multispectral images with fuzzy forest and random forest methods.

[27] Antigenic: An improved prediction model of protective antigens.

[28] Machine intelligence in peptide therapeutics: A next-generation tool for rapid disease screening.

[29] Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data

[30] A Novel Performance Assessment Approach Using Photogrammetric Techniques for Landslide Susceptibility Mapping with Logistic Regression, ANN and Random Forest

[31] Predicting Heating Load in Energy-Efficient Buildings Through Machine Learning Techniques

[32] Using Satellite Thermal-Based Evapotranspiration Time Series for Defining Management Zones and Spatial Association to Local Attributes in a Vineyard

[33] Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data

[34] Predicting Heating Load in Energy-Efficient Buildings Through Machine Learning Techniques

[35] Using Machine Learning to Predict ICU Transfer in Hospitalized COVID-19 Patients

[36] SATELLITE-DERIVED BATHYMETRY USING RANDOM FOREST ALGORITHM AND WORLDVIEW-2 IMAGERY

[37] Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing

[38] Particulate matter concentration from open-cut coal mines: A hybrid machine learning estimation

[39] non-pessimistic predictions of the distributions and suitability of <i>metasequoia glyptostroboides</i> under climate change using a random forest model

[40] pemanfatan data mining untuk prakiraan cuaca

[41] land cover characterization in west sudanian savannas using seasonal features from annual landsat time series

[42] improving unmanned aerial vehicle remote sensing-based rice nitrogen nutrition index prediction with machine learning

[43] mapping tree canopy cover and aboveground biomass in sudano-sahelian woodlands using landsat 8 and random forest

[44] in-season mapping of crop type with optical and x-band sar data: a classification tree approach using synoptic seasonal features

[45] consistent classification of landsat time series with an improved automatic adaptive signature generalization algorithm

[46] an operational framework for land cover classification in the context of redd+ mechanisms. a case study from costa rica

[47] aippred: sequence-based prediction of anti-inflammatory peptides using random forest

[48] computational prediction and analysis of associations between small molecules and binding-associated s-nitrosylation sites

[49] prediksi intensitas hujan kota surabaya dengan matlab menggunakan teknik random forest dan cart (studi kasus kota surabaya)

[50] comparison of manual mapping and automated object-based image analysis of non-submerged aquatic vegetation from very-high-resolution uas images

[51] compact polarimetric response of rape (brassica napus l.) at c-band: analysis and growth parameters inversion

[52] Assessing the Fractional Abundance of Highly Mixed Salt-Marsh Vegetation Using Random Forest Soft Classification

[53] Locating groundwater artificial recharge sites using random forest: a case study of Shabestar region, Iran

[54] Crop yield estimation using decision trees and random forest machine learning algorithms on data from Terra (EOS AM-1) &amp; Aqua (EOS PM-1) satellite data

[55] A New Semisupervised-Entropy Framework of Hyperspectral Image Classification Based on Random Forest

[56] Extrapolation and visualization of NPA using feature based random forest algorithm in Indian banks

[57] Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions.

[58] Multi-Feature Based Ocean Oil Spill Detection for Polarimetric SAR Data Using Random Forest and the Self-Similarity Parameter

[59] Estimation of the spatial distribution of heavy metal in agricultural soils using airborne hyperspectral imaging and random forest.

[60] Development of a classifier to identify patients with probable Lennox–Gastaut syndrome in health insurance claims databases via random forest methodology

[61] Application of random forest time series, support vector regression and multivariate adaptive regression splines models in prediction of snowfall (a case study of Alvand in the middle Zagros, Iran)

[62] Stock selection with random forest: An exploitation of excess return in the Chinese stock market.

[63] Automatic detection of alzheimer disease based on histogram and random forest

[64] A NEW FRAMEWORK FOR OBJECT-BASED IMAGE ANALYSIS BASED ON SEGMENTATION SCALE SPACE AND RANDOM FOREST CLASSIFIER

[65] Non-invasive classification of non-small cell lung cancer: a comparison between random forest models utilising radiomic and semantic features.

[66] Classification of Arteriovenous Fistula Stenosis Using Shunt Murmur Analysis and Random Forest

[67] On classification trees and random forests in corpus linguistics: Some words of caution and suggestions for improvement

[68] Computational phosphorylation site prediction in plants using random forests and organism-specific instance weights.

[69] miRWoods: Enhanced precursor detection and stacked random forests for the sensitive detection of microRNAs.

[70] Prediction of progression in idiopathic pulmonary fibrosis using CT scans at baseline: A quantum particle swarm optimization - Random forest approach.

[71] Determination of the food dye indigotine in cream by near-infrared spectroscopy technology combined with random forest model.

[72] Random forest: A hybrid implementation for sarcasm detection in public opinion mining

[73] Multi-Label Classification Based on Random Forest Algorithm for Non-Intrusive Load Monitoring System

[74] Predictive Feature Generation and Selection Using Process Data From PISA Interactive Problem-Solving Items: An Application of Random Forests.

[75] Ranking near-native candidate protein structures via random forest classification.

[76] Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning

[77] A geographically weighted random forest approach for evaluate forest change drivers in the Northern Ecuadorian Amazon.

[78] Estimating historical SO level across the whole China during 1973-2014 using random forest model.

[79] GDP spatialization in Ningbo City based on NPP/VIIRS night-time light and auxiliary data using random forest regression

[80] Network intrusion detection system using random forest and decision tree machine learning techniques

[81] Non-Pessimistic Predictions of the Distributions and Suitability of <i>Metasequoia glyptostroboides</i> under Climate Change Using a Random Forest Model

[82] Detection of oil pollution impacts on vegetation using multifrequency SAR, multispectral images with fuzzy forest and random forest methods.

[83] Study of Hellinger Distance as a splitting metric for Random Forests in balanced and imbalanced classification datasets

[84] Medical Imbalanced Data Classification Based on Random Forests

[85] A Novel Performance Assessment Approach Using Photogrammetric Techniques for Landslide Susceptibility Mapping with Logistic Regression, ANN and Random Forest

[86] A Novel GIS-Based Random Forest Machine Algorithm for the Spatial Prediction of Shallow Landslide Susceptibility

[87] SATELLITE-DERIVED BATHYMETRY USING RANDOM FOREST ALGORITHM AND WORLDVIEW-2 IMAGERY

[88] Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran

[89] Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran

[90] Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery

[91] Random Forests

[92] A short-term hybrid forecasting model for time series electrical-load data using random forest and bidirectional long short-term memory

[93] AI-HydRa: Advanced hybrid approach using random forest and deep learning for malware classification

[94] non-pessimistic predictions of the distributions and suitability of <i>metasequoia glyptostroboides</i> under climate change using a random forest model

[95] object-oriented landslide mapping using zy-3 satellite imagery, random forest and mathematical morphology, for the three-gorges reservoir, china

[96] Explainable Matrix - Visualization for Global and Local Interpretability of Random Forest Classification Ensembles.

[97] mapping tree canopy cover and aboveground biomass in sudano-sahelian woodlands using landsat 8 and random forest

[98] statistical uncertainty estimation using random forests and its application to drought forecast

[99] predictive toxicology: modeling chemical induced toxicological response combining circular fingerprints with random forest and support vector machine

[100] what makes underwriting and non-underwriting clients of brokerage firms receive different recommendations? an application of uplift random forest model

[101] examining the spectral separability of prosopis glandulosa from co-existent species using field spectral measurement and guided regularized random forest