most citedLeveraging Activation Maximization and Generative Adversarial Training to Recognize and Explain Patterns in Natural Areas in Satellite Imagery

2 citations · 4 across the 3 of their papers we have counts for

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cs.LG2025

Confidence-Filtered Relevance (CFR): An Interpretable and Uncertainty-Aware Machine Learning Framework for Naturalness Assessment in Satellite Imagery

Ahmed Emam, Ribana Roscher

Protected natural areas play a vital role in ecological balance and ecosystem services. Monitoring these regions at scale using satellite imagery and machine learning is promising,…

cs.LG2023★ 2 cited

Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness

Ahmed Emam, Mohamed Farag, Ribana Roscher

Protected natural areas are regions that have been minimally affected by human activities such as urbanization, agriculture, and other human interventions. To better understand and…