CHARLESTON, W.Va. — Differing opinions are coming from leaders and advocates in West Virginia regarding President Trump’s new ...

The 2025 SANS SOC Survey shows AI use is rising, but many SOCs lack integration, customization, and clear validation ...

A new study in Nature Food finds global assessments systematically underestimate hunger. One In Five Who Suffer From Hunger ...

Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...

Institute for Information Systems (WIN), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany Introduction: The analysis of discrete sequential data, such as event logs and customer ...

This repository contains two basic prediction models: Credit Card Fraud Detection and Titanic Survival Prediction. Both models demonstrate the use of machine learning for binary classification tasks.

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.

If you want to accentuate the importance of a problem, it seems sensible to explain how prevalent it is. Lots of people are at risk of Alzheimer’s disease. Lots of women carry a gene that makes them ...

In a world of rapid change and geopolitical turbulence, intelligence services are an important weapon in a policymaker’s arsenal. When it comes to human intelligence, the Central Intelligence Agency ...

Abstract: Many data mining and pattern recognition tasks have a multi-class classification problem at their core. To give satisfactory results in operational contexts, certain applications necessitate ...