To address these difficulties, this paper develops a probabilistic record linkage methodology that combines machine learning (ML) with multiple imputation (MI). This ML-MI methodology is applied to ...

Race imputation using statistical estimation ... To facilitate fair machine learning, better methodologies for evaluating and addressing data missingness, sparsity, and irregularities are needed.

The findings reveal that machine learning techniques, particularly GAN-based methods and context-aware time-series imputation (CATSI), consistently outperformed traditional statistical approaches ...

This study applies state-of-the-art machine learning (ML) techniques to forecast IMF-supported ... sampling techniques, and missing data imputation on the performance of different ML models and ...