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Found 2 papers, 2 papers with code
Model Generalization in Deep Learning Applications for Land Cover Mapping
Recent work has shown that deep learning models can be used to classify land-use data from geospatial satellite imagery.
A Skew-Sensitive Evaluation Framework for Imbalanced Data Classification
Class distribution skews in imbalanced datasets may lead to models with prediction bias towards majority classes, making fair assessment of classifiers a challenging task.
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