Universidad Tecnológica de Panamá

Interpretable and Calibrated Classification of Clinical Data Using Supervised Feature Binarization

Black-box models limit the adoption of artificial intelligence in medicine because their predictions are difficult to interpret and reproduce. We present a statistically grounded framework for interpretable, rule-based clinical classification using the Bernoulli Naïve Bayes (BNB)...

A taxonomy and roadmap for corrosion detection systems: bridging sensing, data, and deployment

Abstract Corrosion remains a critical challenge affecting the safety, reliability, and service life of infrastructure across sectors such as maritime, energy, transportation, and civil engineering. Conventional inspection methods, including non-destructive testing and visual asse...