Machine learning has revolutionised the field of classification in numerous domains, providing robust tools for categorising data into discrete classes. However, many practical applications, such as ...

Sometimes, a more complex but more accurate model is needed when the standard off-the-shelf models just do not cut it. That is the message from researchers from KAUST’s Statistics Program. One ...

A novel approach called Counterfactual Synthetic Minority Oversampling Technique (SMOTE) has been developed to tackle the persistent issue of imbalanced data in healthcare. Traditional models trained ...