2 papers
cs.LG2026
OpFML: Pipeline for ML-based Operational Inference
Shahbaz Alvi, Giusy Fedele, Gabriele Accarino +3
Machine learning models for climate and Earth science are becoming increasingly capable, yet model deployment into operational use remains a largely unaddressed challenge: general-…
cs.LG2026
Operational evaluation of data-driven forest fire forecasting models
Shahbaz Alvi, Italo Epicoco, Jose Maria Costa Saura
A growing body of literature has focused on predicting wildfire occurrence using machine learning methods, capitalizing on high-resolution data and fire predictors that canonical p…