Ruhollah Taghizadeh
Ruhollah Taghizadeh
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Enhancing the accuracy of machine learning models using the super learner technique in digital soil mapping
Ruhollah Taghizadeh
April 2021
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Ruhollah Taghizadeh
Postdoc Researcher
My research interests include soil mapping, data science, and machine learning
Related
Semi-supervised learning for the spatial extrapolation of soil information
Semisupervised Learning for the Spatial Extrapolation
Enhancing of ML Models Using the Super Learner
Multi Task CNNs for Soil Mapping
Multi-task convolutional neural networks outperformed random forest for mapping soil particle size fractions in central Iran
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