16 citations · 16 across the 3 of their papers we have counts for
4 papers
Deep Clustering for Climate: Analyzing Teleconnections through Learned Categorical States
Lívia Meinhardt, Dário Oliveira
Understanding and representing complex climate variability is essential for both scientific analysis and predictive modeling. However, identifying meaningful climate regimes from r…
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes
Ivica Obadic, Alex Levering, Lars Pennig +3
Predicting socioeconomic indicators from satellite imagery with deep learning has become an increasingly popular research direction. Post-hoc concept-based explanations can be an i…
Evolution of urban areas and land surface temperature
Sudipan Saha, Tushar Verma, Dario Augusto Borges Oliveira
With the global population on the rise, our cities have been expanding to accommodate the growing number of people. The expansion of cities generally leads to the engulfment of per…
Foundation Models for Generalist Geospatial Artificial Intelligence
Johannes Jakubik, Sujit Roy, C. E. Phillips +30
Significant progress in the development of highly adaptable and reusable Artificial Intelligence (AI) models is expected to have a significant impact on Earth science and remote se…