Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of ...

RetinaDA unites six public fundus sets into a 512 × 512 macula-centered benchmark with built-in domain gaps, enabling ...

A large-language-model-based system for classifying stellar light curves, integrating specialized components for text, image, and audio data processing. AI tools are transforming how we observe the ...