Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified blueprint for researchers to navigate classification, clustering, ...

Background: Early identification of seizures in children is important for safety, intervention success, and quality of life improvement, because many children are unable to reliably communicate sensed ...

Introduction: Myocardial ischemia can result in severe cardiovascular complications. However, the impact of clinical factors on myocardial ischemia in individuals with T2DM remains unclear. we applied ...

This is an agile repository to perform cell unsupervised clustering using Hibou-L model to extract the cell embeddings. Each embedding has a size of 1024 for which dimensionality reductions is also ...

ABSTRACT: Doping is an issue associated with elite sports as athletes attempt to enhance their performance to gain an edge over other athletes. However, the prevalence of doping is continuously ...

Abstract: In recent years, deep learning methods have been playing an important role in extracting features from ground penetrating radar (GPR) images to detect underground targets rapidly. However, ...

Abstract: This study introduces a novel representation learning method to enhance unsupervised deep clustering in Human Activity Recognition (HAR). Traditional unsupervised deep clustering methods ...