IEEE

Mitigating Class Imbalance in Vision-Based Anomaly Detection via NAUF Undersampling: A Case Study in Automated Quality Control for Hydrogen Storage Manufacturing

Abstract: Addressing the issue of sample imbalance in vision-based anomaly detection tasks remains a critical focus. This work proposes a novel hybrid method that integrates learning-based ...
The Manila Times

Interview Kickstart's New Advanced Machine Learning and Agentic AI Program 2026 Helps Software Engineers Transition To Top ML and AI Roles

Amid this shift, Interview Kickstart has introduced an advanced machine learning and agentic AI program designed to help ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
IEEE

Dynamic Adaptive Iterative Generative Adversarial Network for Hyperspectral Image Classification With Class Imbalance

Abstract: Small-sample learning improves the problem of limited labeled samples in hyperspectral image (HSI) classification to a greater extent, but still suffers from the severe problem of class ...