IEEE

CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss

Abstract: In ordinal classification, misclassifying neighboring ranks is common, yet the consequences of these errors are not the same. For example, misclassifying ...

Machine-learning analysis reclassifies armed conflicts into three new archetypes

There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even when using clear definitions (such as “Civil War,” “Invasion,” or “Local ...
IEEE

Data-Driven Machine Learning Models for Enhanced Fetal Health Classification and Monitoring

Abstract: Fetal health classification plays a critical role in prenatal care by identifying potential risks and ensuring timely intervention. This study explores the application of multi-class ...
Ulster University

Accelerating your Research using the Northern Ireland HPC cluster: Hands-on guide with GPU and CPU-based applications - Part 2

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.