1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Exploring Machine Learning, Deep Learning, and Explainable AI Methods for Seasonal Precipitation Prediction in South America
Matheus Corrêa Domingos, Valdivino Alexandre de Santiago Júnior, Juliana Aparecida Anochi +4
Forecasting meteorological variables is challenging due to the complexity of their processes, requiring advanced models for accuracy. Accurate precipitation forecasts are vital for…
cs.CV2025★ 1 cited
CerraData-4MM: A multimodal benchmark dataset on Cerrado for land use and land cover classification
Mateus de Souza Miranda, Ronny Hänsch, Valdivino Alexandre de Santiago Júnior +2
The Cerrado faces increasing environmental pressures, necessitating accurate land use and land cover (LULC) mapping despite challenges such as class imbalance and visually similar…