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Found 2 papers, 1 papers with code
Is augmentation effective to improve prediction in imbalanced text datasets?
Imbalanced datasets present a significant challenge for machine learning models, often leading to biased predictions.
A robust nonlinear mixed-effects model for COVID-19 deaths data
Moreover, since a mixed-effect framework borrows information from the population-average effects, in our analysis we include some countries from Europe and North America that are in a more advanced stage of their COVID-19 deaths curve.
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