Deep learning for spatio-temporal forecasting: benchmarks, methods, and insights from mobility and weather predictions 

Herruzo Sánchez, Pedro (Date of defense: 2023-10-30)

(English) This thesis explores the intersection of deep learning and spatio-temporal forecasting, focusing on the challenges and opportunities present in applying machine learning methods to predict complex geospatial and ...