Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

This study aims to improve survival modeling in head and neck cancer (HNC) by integrating patient-reported outcomes (PROs) using dimensionality reduction techniques. PROs capture symptom severity ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. EncoderMap is a dimensionality reduction method that is tailored for the analysis of ...

ABSTRACT: As Senegal embarks on the development of offshore oil resources, there is increasing concern regarding the potential environmental impacts on the adjacent sensitive coastal ecosystems. This ...

Abstract: We propose a dimension reduction method for classification problems with multiple classes by combining principal component analysis and a projection to the simplex of class centers. It is ...

Interdisciplinary research on high-dimensional quantum data faces significant challenges due to differing interpretive frameworks across physics, mathematics, and data science. Those differences in ...

Abstract: Electrocardiography, which is more often referred to as an electrocardiogram, is a way of monitoring the electrical activity of the heart over a period of time using electrodes that are put ...