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Establishing a machine-learning-supported tool for the identification of necessary building-strengthening measures in the design phase of urban tunnel projects
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Interpretation of a Machine Learning Model for Short-Term High Streamflow Prediction
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Measuring Affective State: Subject-Dependent and -Independent Prediction Based on Longitudinal Multimodal Sensing
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Integrated machine learning based groundwater quality prediction through groundwater quality index for drinking purposes in a semi-arid river basin of south India
Micronutrient levels of global tropical reef fish communities differ from fisheries capture
Conor Waldock, Eva Maire, Camille Albouy, Vania Andreoli, Maria Beger, Thomas Claverie, Katie L. Cramer, David A. Feary, Sebastian C. A. Ferse, Andrew Hoey, Nicolas Loiseau, M. Aaron MacNeil, Matthew McLean, Camille Mellin, Simon Ahouansou Montcho, Maria Lourdes Palomares, Santiago de la Puente, Mark Tupper, Shaun Wilson, Laure Velez, Jessica Zamborain‐Mason, Dirk Zeller, David Mouillot and Loïc Pellissier People and Nature 7(1) 32 (2025) https://doi.org/10.1002/pan3.10736
Modeling the spatial distribution and abundance of deep‐water red shrimps in the Mediterranean Sea: a machine learning approach
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Inverse modeling of untethered electromagnetic actuators using machine learning
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Multiomic random forest toxicity modeling of radiation esophagitis
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Prediction of chlorophyll a concentration and analyzing its relationship with environmental factors in lake Vänern using random forest algorithm
Model-Based Prediction for Small Domains Using Covariates: A Comparison of Four Methods
Victoire Michal, Jon Wakefield, Alexandra M Schmidt, Alicia Cavanaugh, Brian E Robinson and Jill Baumgartner Journal of Survey Statistics and Methodology 12(5) 1489 (2024) https://doi.org/10.1093/jssam/smae032
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Leveraging machine learning for predictive insights in robo-advisory adoption: a marketing analytics approach
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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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Cooperative Learning for Personalized Context-Aware Pain Assessment From Wearable Data
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Improving Sampling Probability Definitions with Predictive Algorithms
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Distinguishing Tree Species from In Situ Hyperspectral and Temporal Measurements through Ensemble Statistical Learning
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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
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Chemical Descriptors for a Large-Scale Study on Drop-Weight Impact Sensitivity of High Explosives
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Application of random forest (RF) for flood levels prediction in Lower Ogun Basin, Nigeria
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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
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Random Forest Algorithm for the Strength Prediction of Geopolymer Stabilized Clayey Soil
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Everybody is Populist to Some Extent: Measuring Parties' Populist Rhetoric with Machine Learning Tools.
Nonlinear Effects of the Neighborhood Environments on Residents’ Mental Health
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Estimation of Eucalyptus productivity using efficient artificial neural network
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Improving nonconformity responsibility decisions: a semi-automated model based on CRISP-DM
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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
A Machine Learning-based Cloud Detection Algorithm for the Himawari-8 Spectral Image
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
Mapping soil erodibility in southeast China at 250 m resolution: Using environmental variables and random forest regression with limited samples
Mapping and Quantification of the Dwarf Eelgrass Zostera noltei Using a Random Forest Algorithm on a SPOT 7 Satellite Image
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Assessing the geographic specificity of pH prediction by classification and regression trees
Integration of Sentinel optical and radar data for mapping smallholder coffee production systems in Vietnam
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