Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Abstract: Tabular data is the most prevalent form of structured data, necessitating robust models for classification and regression tasks. Traditional models like eXtreme Gradient Boosting (XGBoost) ...

Heteroscedasticity describes a situation where risk (variance) changes with the level of a variable. In financial models, ...

Abstract: In this article, we consider the stabilization problem of switched systems consisting of a limited number of unknown linear subsystems regulated by unknown switching signals. To this end, we ...