2 papers
cs.LG2026
Predicting Pseudo-nitzschia harmful algal blooms along the Portuguese Coast using satellite-derived predictors
Ayman Bnoussaad, El Khalil Cherif, Ligia Pinto +3
Pseudo-nitzschia diatoms pose recurrent risks to coastal ecosystems and shellfish harvesting along the Portuguese Atlantic coast. Here we develop and evaluate a spatio-temporal mac…
stat.ML2026
Visual Spatial Learning: Single-Field Spatial Interpolation Using Convolutional Neural Networks
Daniel Tinoco, Raquel Menezes, Carlos Baquero +1
Predicting a complete spatially correlated field from sparse observations is a fundamental challenge in spatial statistics and environmental modelling. Classical interpolation meth…