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Chang, Zhilu, Catani, Filippo, Huang, Faming, Liu, Gengzhe, Meena, Sansar Raj, Huang, Jinsong, Zhou, Chuangbing. Kexue Chubanshe,Science Press; 2022. Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors.
Huang, Faming, Xiong, Haowen, Yao, Chi, Catani, Filippo, Zhou, Chuangbing, Huang, Jinsong. Kexue Chubanshe,Science Press; 2023. Uncertainties of landslide susceptibility prediction considering different landslide types.
Chang, Zhilu, Huang, Jinsong, Huang, Faming, Bhuyan, Kushanav, Meena, Sansar Raj, Catani, Filippo. Elsevier; 2023. Uncertainty analysis of non-landslide sample selection in landslide susceptibility prediction using slope unit-based machine learning models.
Huang, Faming, Tao, Siyu, Li, Deying, Lian, Zhipeng, Catani, Filippo, Huang, Jinsong, Li, Kailong, Zhang, Chuhong. MDPI AG; 2022. Landslide Susceptibility Prediction Considering Neighborhood Characteristics of Landslide Spatial Datasets and Hydrological Slope Units Using Remote Sensing and GIS Technologies.
Chang, Zhilu, Huang, Faming, Huang, Jinsong, Jiang, Shui-Hua, Liu, Yuting, Meena, Sansar Raj, Catani, Filippo. Zhongguo Dizhi Daxue,China University of Geosciences; 2023. An updating of landslide susceptibility prediction from the perspective of space and time.
Huang, Faming, Xiong, Haowen, Chen, Shixuan, Lv, Zhitao, Huang, Jinsong, Chang, Zhilu, Catani, Filippo. China Coal Society; 2023. Slope stability prediction based on a long short-term memory neural network: comparisons with convolutional neural networks, support vector machines and random forest models.
Huang, Faming, Xiong, Haowen, Zhou, Xiaoting, Catani, Filippo, Huang, Jinsong. Springer; 2024. Modelling Uncertainties and Sensitivity Analysis of Landslide Susceptibility Prediction under Different Environmental Factor Connection Methods and Machine Learning Models.
Huang, Faming, Teng, Zuokui, Guo, Zizheng, Catani, Filippo, Huang, Jinsong. Elsevier; 2023. Uncertainties of landslide susceptibility prediction: Influences of different spatial resolutions, machine learning models and proportions of training and testing dataset.
Huang, Faming, Xiong, Haowen, Jiang, Shui-Hua, Yao, Chi, Fan, Xuanmei, Catani, Filippo, Chang, Zhilu, Zhou, Xiaoting, Huang, Jinsong, Liu, Keji. Elsevier; 2024. Modelling landslide susceptibility prediction: A review and construction of semi-supervised imbalanced theory.
Huang, Faming, Teng, Zuokui, Yao, Chi, Jiang, Shui-Hua, Catani, Filippo, Chen, Wei, Huang, Jinsong. Kexue Chubanshe; 2024. Uncertainties of landslide susceptibility prediction: Influences of random errors in landslide conditioning factors and errors reduction by low pass filter method.