Identification of Hazardous Areas for Priority Landmine Clearance: AI for Humanitarian Mine Action
ML @ CMU
NOVEMBER 7, 2024
We address the challenges of landmine risk estimation by enhancing existing datasets with rich relevant features, constructing a novel, robust, and interpretable ML model that outperforms standard and new baselines, and identifying cohesive hazard clusters under geographic and budgetary constraints. Validation results in Colombia.
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