A comprehensive review of machine learning-based models for fake news detection

An Anatomy-Aware EfficientNetB0 and CBAM Framework for Suppressing Hard Boundary Bias in MRI Brain Tumor Classification

Calibrated, Uncertainty-aware Gradient Boosting with Error-bar-augmented Training for Exoplanet Candidate Vetting

Path-length dependence of parton energy loss across collision systems: a Bayesian analysis of charged-particle RAA, consistent with a universal exponent from O+O to Pb+Pb

Multi-task Bayesian neural network ensemble for joint prediction of fourteen nuclear observables in medium-mass nuclei

A Confidence-Aware and Safety-Constrained AI Framework for Antimicrobial Resistance Decision Support