Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

The University of North Texas (UNT) is stepping into the future with a new undergraduate major in Artificial Intelligence (AI), ...

Abstract: The exponential growth of textual data from news, social media, and other platforms necessitates automated systems for effective organization and categorization. Traditional text ...

This paper is in the following e-collection/theme issue: Artificial Intelligence (2294) Chronic Foot Ulcer and Wounds (23) Pressure Ulcers and Decubitus Wounds (30) Machine Learning (2198) Artificial ...

Exploring the Perspectives of Pediatric Health Care Providers, Youth Patients, and Caregivers on Machine Learning Suicide Risk Classification: Mixed Methods Study ...

YouTube Comment Sentiment Analyzer A Streamlit-powered application that analyzes sentiment in YouTube comments using machine learning. It integrates with the YouTube Data API to fetch comments and ...

The Toxic Comments Classifier is a robust machine learning tool implemented in C++ designed to identify toxic comments in digital conversations. Featuring a custom-built multi-layer perceptron (MLP) ...