Browsing: Missing Data

Haewon Jeong, an assistant professor at UC Santa Barbara, discovered the lack of research on fairness in imputation, a process used to substitute missing…

This article explores the top interview questions commonly asked during Google data science interviews, covering topics such as handling missing data, linear regression, machine…

EPFL researchers have developed a new modular machine learning model, MultiModN, that can input various forms of data and output multiple predictions. Unlike existing…

This Special Issue focuses on applications of Machine Learning (ML) models in a wide range of fields and problems. It covers a wide range…

In this work, we developed and evaluated the medical transformer architecture MeTra to integrate imaging and non-imaging data for survival predictions in patients in…