Liao, B.; Zhou, T.; Liu, Y.; Li, M.; Zhang, T.
Tackling the Wildfire Prediction Challenge: An Explainable Artificial Intelligence (XAI) Model Combining Extreme Gradient Boosting (XGBoost) with SHapley Additive exPlanations (SHAP) for Enhanced Interpretability and Accuracy. Forests 2025, 16, 689.
https://doi.org/10.3390/f16040689
AMA Style
Liao B, Zhou T, Liu Y, Li M, Zhang T.
Tackling the Wildfire Prediction Challenge: An Explainable Artificial Intelligence (XAI) Model Combining Extreme Gradient Boosting (XGBoost) with SHapley Additive exPlanations (SHAP) for Enhanced Interpretability and Accuracy. Forests. 2025; 16(4):689.
https://doi.org/10.3390/f16040689
Chicago/Turabian Style
Liao, Bin, Tao Zhou, Yanping Liu, Min Li, and Tao Zhang.
2025. "Tackling the Wildfire Prediction Challenge: An Explainable Artificial Intelligence (XAI) Model Combining Extreme Gradient Boosting (XGBoost) with SHapley Additive exPlanations (SHAP) for Enhanced Interpretability and Accuracy" Forests 16, no. 4: 689.
https://doi.org/10.3390/f16040689
APA Style
Liao, B., Zhou, T., Liu, Y., Li, M., & Zhang, T.
(2025). Tackling the Wildfire Prediction Challenge: An Explainable Artificial Intelligence (XAI) Model Combining Extreme Gradient Boosting (XGBoost) with SHapley Additive exPlanations (SHAP) for Enhanced Interpretability and Accuracy. Forests, 16(4), 689.
https://doi.org/10.3390/f16040689
