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ABSTRACT: Food insecurity is a global issue, and households in a society can experience food insecurity at different levels that could range from being mildly food insecure to severely food insecure.
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. The design was a retrospective cohort study using two different databases of routinely collected data ...
Christine E. Lynn College of Nursing, Florida Atlantic University, Boca Raton, FL, USA. Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional ...
1 Department of Geography, University of Wisconsin-Madison, Madison, WI, United States 2 School of International Service, American University, Washington, DC, United States Widespread media reports ...
This repository contains an analysis of the Kaggle Machine Learning & Data Science Survey dataset, focusing on salary prediction using ordinal logistic regression and other classification models.
Abstract: In many real-world prediction tasks, the class labels contain information about the relative order between the labels that are not captured by commonly used loss functions such as ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
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