Navigating Challenges in Spatial Machine Learning
Discusses challenges in spatial machine learning for environmental mapping, focusing on validation, uncertainty, and reproducibility.
Discusses challenges in spatial machine learning for environmental mapping, focusing on validation, uncertainty, and reproducibility.
Keynote on rethinking validation for spatial machine learning, focusing on prediction-domain adaptive evaluation in Earth observation.
An update on the PRISM project's progress in developing methods for validating spatial patterns in machine learning, covering research from 2025-2026.