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Reliability evaluation of pseudo-samples from model-free and model-based approaches in wildfire susceptibility mapping

Given the profound impact of wildfires on human society and the natural environment, as well as the challenges faced by traditional supervised learning methods when sample sizes are insufficient, this study aims to evaluate the reliability of model-based and model-free semi-supervised learning (SSL)...

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Detaylı Bibliyografya
Asıl Yazarlar: Tianwu Ma, Junfei Ma, Liang Chen, Yiguang Wu, Longsha Zhao
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Taylor & Francis Group 2026-12-01
Seri Bilgileri:Geomatics, Natural Hazards & Risk
Konular:
Online Erişim:https://www.tandfonline.com/doi/10.1080/19475705.2026.2669548
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