Recent advances in explainable Machine Learning models for wildfire prediction

Climate change has caused increasingly frequent occurrences of forest fires around the world. Machine Learning (ML) and Artificial Intelligence models have emerged to predict both the onset of wildfires and evaluate the extent of damage a wildfire would cause. However, understanding what factors lea...

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Bibliographic Details

Published in:	Applied computing and geosciences Vol. 27; p. 100266
Main Authors:	Sengupta, Abira, Woodford, Brendon J.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.09.2025 Elsevier
Subjects:	Explainable artificial intelligence Forest fires Hyper-parameter optimisation Machine learning SHAP values Explainable artificial intelligence Hyper-parameter optimisation SHAP values Forest fires Machine learning
ISSN:	2590-1974, 2590-1974
Online Access:	Get full text
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