Le Thi Thu Hien, Nguyen Van Chien, Le Xuan-Hien. Advanced hybrid techniques for predicting discharge coefficients in ogee-crested spillways: integrating physical, numerical, and machine learning models. Environmental Research Communications. 2024
Xuan-Hien Le, Chanul Choi, Song Eu, Minho Yeon, Giha Lee. Quantitative evaluation of uncertainty and interpretability in machine learning-based landslide susceptibility mapping through feature selection and explainable AI. Frontiers in Environmental Science. 2024. 12
Xuan-Hien Le, Trung Tin Huynh, Mingeun Song, Giha Lee. Quantifying Predictive Uncertainty and Feature Selection in River Bed Load Estimation: A Multi-Model Machine Learning Approach with Particle Swarm Optimization. Water. 2024
Xuan-Hien Le, Le Thi Thu Hien, Hung Viet Ho, Giha Lee. Benchmarking the performance and uncertainty of machine learning models in estimating scour depth at sluice outlets. Journal of Hydroinformatics. 2024
Xuan Hien Le, Younghun Kim, Doan Van Binh, Sungho Jung, Duc Hai Nguyen, Giha Lee. Improving rainfall-runoff modeling in the Mekong river basin using bias-corrected satellite precipitation products by convolutional neural networks. Journal of Hydrology. 2024. 630
