Attempts to define human beauty using artificial intelligence may reveal more about bias in data than universal standards, ...
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 ...
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