Cláudia Soares

AdamX, a first-order optimizer that incorporates cosine similarity as an adaptive mechanism for controlling update magnitudes is introduced, which is scalable, model-agnostic, and straightforward to integrate into existing training pipelines.

HierSTT achieves a 32% reduction in forecasting error by ensuring coherent demand predictions across hospital, regional, and national levels in emergency departments.