Comparison of debris flow susceptibility assessment methods: support vector machine, particle swarm optimization, and feature selection techniques
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Publisher
Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s11629-023-8395-9.pdf
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3. Angillieri MYE (2020) Debris flow susceptibility mapping using frequency ratio and seed cells, in a portion of a mountain international route, Dry Central Andes of Argentina. Catena 189: 104504. https://doi.org/10.1016/j.catena.2020.104504
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