Abstract (EN) State-of-the-art machine learning methods such as convolutional neural
networks (CNNs) are frequently employed in computer vision. Despite their high …

Deep learning models have shown tremendous gains in computer vision in the last decade.
However, given their highly non-linear nature, they are often seen as black-boxes. This has …

Interpretability has attracted increasing attention in earth observation problems. We apply
interactive visualization and representation analysis to guide the interpretation of glacier …

Visualization and machine learning research are both driven by a desire to extract insights
from data. However, the means to this end differ substantially between the two fields. While …