Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
Abstract: Face recognition has rapidly evolved into a trans-formative technology with wide-ranging applications in law enforcement, healthcare, security, and beyond. Among various approaches, ...
Interpretability of Support Vector Machine (SVM) or Neural Networks (NN) models, examples of black-box models, is a field of study that has recently gained attention, especially for the significant ...
Early identification and prediction of persistent SA-AKI are crucial. Objective: The aim of this study was to develop and validate an interpretable machine learning (ML) model that predicts persistent ...
Abstract: Traditional machine learning approaches assume that data comes from a single generating mechanism, which may not hold for most real life data. In these cases, the single mechanism assumption ...