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Leveraging Activation Maximization and Generative Adversarial Training to Recognize and Explain Patterns in Natural Areas in Satellite Imagery
Our proposed framework produces more precise attribution maps pinpointing the designating patterns forming the natural authenticity of protected areas.
Confident Naturalness Explanation (CNE): A Framework to Explain and Assess Patterns Forming Naturalness
This framework combines explainable machine learning and uncertainty quantification to assess and explain naturalness.
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