We develop a mixed-frequency, tree-based, gradient-boosting model designed to assess the default risk of privately held firms in real time. The model uses data from publicly-traded companies to ...

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...

When discussing learning transfer—the ability to apply previous knowledge, skills, and strategies to new contexts or situations—we should also be mindful of our learners’ cognitive load. Cognitive ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

Cosmic-ray muon sources exhibit distinct scattering angle distributions when interacting with materials of different atomic numbers (Z values), facilitating the identification of various Z-class ...

Researchers in Singapore have shown that advanced artificial intelligence (AI) techniques can significantly improve clinical diagnostics in countries with limited resources without the need for ...