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Multiomic random forest toxicity modeling of radiation esophagitis
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Modeling the spatial distribution and abundance of deep‐water red shrimps in the Mediterranean Sea: a machine learning approach
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Micronutrient levels of global tropical reef fish communities differ from fisheries capture
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Bias reduction of CFSR data with random forest for applications in water resources modelling in Ogun River
Oluwatobi Aiyelokun, Gbenga Ogunsanwo, Quoc Bao Pham, Oluwadamilola Salau and Precious Eguagie-Suyi Hydrological Sciences Journal 70(8) 1308 (2025) https://doi.org/10.1080/02626667.2025.2467337
Data Augmentation and Machine Learning algorithms for multi-class imbalanced morphometrics data of stingless bees
Integrated machine learning based groundwater quality prediction through groundwater quality index for drinking purposes in a semi-arid river basin of south India
Measuring Affective State: Subject-Dependent and -Independent Prediction Based on Longitudinal Multimodal Sensing
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A Random Forest Approach to Detect and Identify Unlawful Insider Trading
Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration
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Cloud fraction estimation using random forest classifier on sky images
Establishing a machine-learning-supported tool for the identification of necessary building-strengthening measures in the design phase of urban tunnel projects
Hourly surface nitrogen dioxide retrieval from GEMS tropospheric vertical column densities: benefit of using time-contiguous input features for machine learning models
Janek Gödeke, Andreas Richter, Kezia Lange, Peter Maaß, Hyunkee Hong, Hanlim Lee and Junsung Park Atmospheric Measurement Techniques 18(15) 3747 (2025) https://doi.org/10.5194/amt-18-3747-2025
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sEMG Signal Gesture Recognition Method Based on Dung Beetle Optimized Random Forest
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Predicting the Effect of RSW Parameters on the Shear Force and Nugget Diameter of Similar and Dissimilar Joints Using Machine Learning Algorithms and Multilayer Perceptron
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Evaluating Salinity Tolerance of Pomegranate Cultivars Using Subordinate Function Analysis and Machine Learning
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Can machine learning predict friction from third body morphology?
Field validation of NDVI to identify crop phenological signatures
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On exploring bivariate and trivariate maps as visualization tools for spatial associations in digital soil mapping: A focus on soil properties
Analysis of the Frictional Performance of AW-5251 Aluminium Alloy Sheets Using the Random Forest Machine Learning Algorithm and Multilayer Perceptron
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Chemical Descriptors for a Large-Scale Study on Drop-Weight Impact Sensitivity of High Explosives
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AI-based identification of therapeutic agents targeting GPCRs: introducing ligand type classifiers and systems biology
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Model-Assisted Estimation Through Random Forests in Finite Population Sampling
Digital assessments of soil organic carbon storage using digital maps provided by static and dynamic environmental covariates
Fatemeh Rahbar Alam Shirazi, Farzin Shahbazi, Hossein Rezaei and Asim Biswas Soil Use and Management 39(2) 948 (2023) https://doi.org/10.1111/sum.12900
Improving Sampling Probability Definitions with Predictive Algorithms
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Ore genesis of the Laguhe Au deposit, West Qinling, China: Evidence from sulfide geochemistry and machine learning
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Lethality risk markers by sex and age-group for COVID-19 in Mexico: a cross-sectional study based on machine learning approach
Tile-Based Random Forest Analysis for Analyte Discovery in Balanced and Unbalanced GC × GC-TOFMS Data Sets
Meriem Gaida, Caitlin N. Cain, Robert E. Synovec, Jean-François Focant and Pierre-Hugues Stefanuto Analytical Chemistry 95(36) 13519 (2023) https://doi.org/10.1021/acs.analchem.3c01872
Application of random forest (RF) for flood levels prediction in Lower Ogun Basin, Nigeria
Random Forest Algorithm for the Strength Prediction of Geopolymer Stabilized Clayey Soil
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Predicting spatial distribution of stable isotopes in precipitation by classical geostatistical- and machine learning methods
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Uncovering the effects of Urmia Lake desiccation on soil chemical ripening using advanced mapping techniques
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Predictors of healthy physiological aging across generations in a 30-year population-based cohort study: the Doetinchem Cohort Study
IoT-based platform for automated IEQ spatio-temporal analysis in buildings using machine learning techniques
Francisco Troncoso-Pastoriza, Miguel Martínez-Comesaña, Ana Ogando-Martínez, Javier López-Gómez, Pablo Eguía-Oller and Lara Febrero-Garrido Automation in Construction 139 104261 (2022) https://doi.org/10.1016/j.autcon.2022.104261
Everybody is Populist to Some Extent: Measuring Parties' Populist Rhetoric with Machine Learning Tools.
Tropical cyclone full track simulation in the western North Pacific based on random forests
Mingfeng Huang, Qing Wang, Renzhi Jing, Wenjuan Lou, Yi Hong and Lizhong Wang Journal of Wind Engineering and Industrial Aerodynamics 228 105119 (2022) https://doi.org/10.1016/j.jweia.2022.105119
Pietro Mastro, Domenico Cimini, Filomena Romano, Elisabetta Ricciardelli, Francesco Di Paola, Guido Masiello, Carmine Serio, Adolfo Comerón, Evgueni I. Kassianov, Klaus Schäfer, Richard H. Picard, Konradin Weber and Upendra N. Singh 29 (2022) https://doi.org/10.1117/12.2642874
A Machine Learning-based Cloud Detection Algorithm for the Himawari-8 Spectral Image
Chao Liu, Shu Yang, Di Di, et al. Advances in Atmospheric Sciences 39(12) 1994 (2022) https://doi.org/10.1007/s00376-021-0366-x
Moisés R. Santos, Douglas D. C. Braz, André C. P. L. F. Carvalho, Renato Tinós, Marcos B. S. Paula, Gabriel Doretto, Ewerton Guarnier, Donato Silva Filho, Danilo Y. Suiama, Lorena E. Ferreira and José E. Carmo Júnior 1 (2022) https://doi.org/10.1109/LA-CCI54402.2022.9981846
Nonlinear Effects of the Neighborhood Environments on Residents’ Mental Health
Lin Zhang, Suhong Zhou, Lanlan Qi and Yue Deng International Journal of Environmental Research and Public Health 19(24) 16602 (2022) https://doi.org/10.3390/ijerph192416602
Estimation of Eucalyptus productivity using efficient artificial neural network
Ricardo Rodrigues de Oliveira Neto, Helio Garcia Leite, José Marinaldo Gleriani and Bogdan M. Strimbu European Journal of Forest Research 141(1) 129 (2022) https://doi.org/10.1007/s10342-021-01431-7
Improving nonconformity responsibility decisions: a semi-automated model based on CRISP-DM
Mobile‐aided screening system for proliferative diabetic retinopathy
Rahma Boukadida, Yaroub Elloumi, Mohamed Akil and Mohamed Hedi Bedoui International Journal of Imaging Systems and Technology 31(3) 1638 (2021) https://doi.org/10.1002/ima.22547
Mapping and Quantification of the Dwarf Eelgrass Zostera noltei Using a Random Forest Algorithm on a SPOT 7 Satellite Image
Salma Benmokhtar, Marc Robin, Mohamed Maanan and Hocein Bazairi ISPRS International Journal of Geo-Information 10(5) 313 (2021) https://doi.org/10.3390/ijgi10050313
Short-Term Forecasting of Household Water Demand in the UK Using an Interpretable Machine Learning Approach
Hiu Fai Lee and Ming Jiang Communications in Computer and Information Science, Neural Computing for Advanced Applications 1449 211 (2021) https://doi.org/10.1007/978-981-16-5188-5_16
MODIS aerosol optical depth retrieval based on random forest approach
Integration of Sentinel optical and radar data for mapping smallholder coffee production systems in Vietnam
Gina Maskell, Abel Chemura, Huong Nguyen, Christoph Gornott and Pinki Mondal Remote Sensing of Environment 266 112709 (2021) https://doi.org/10.1016/j.rse.2021.112709