EDL combines the outputs of several machine learning (ML) models to enhance their generalization performance. The traditional approach to building an ensemble uses deep neural networks (DNNs) in a ...

Importantly, explainable AI is beginning to be integrated into these systems, offering pathways to clarify how models reach their conclusions. This emerging focus on interpretability is seen as ...

Ensemble Learning is a technique in machine learning that combines the predictions of multiple models to improve the overall performance and reduce the likelihood of overfitting. It leverages the ...