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stat.ME2023
Imputation of missing data using multivariate Gaussian Linear Cluster-Weighted Modeling
Luis Alejandro Masmela-Caita, Thais Paiva Galletti, Marcos Oliveira Prates
Missing data arises when certain values are not recorded or observed for variables of interest. However, most of the statistical theory assume complete data availability. To addres…
cs.CL2023
Is augmentation effective to improve prediction in imbalanced text datasets?
Gabriel O. Assunção, Rafael Izbicki, Marcos O. Prates
Imbalanced datasets present a significant challenge for machine learning models, often leading to biased predictions. To address this issue, data augmentation techniques are widely…