Objects
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, Mao, Daxiong, Jiang, Bingchen, Li, Yijing, Jiang, Shui-Hua, Zhou, Chuangbing, Fan, Xuanmei, Zeng, Ziqiang, Catani, Filippo, Yu, Changshi, Chang, Zhilu, Huang, Jinsong. Zhongguo Dizhi Daxue,China University of Geosciences; 2024. Uncertainties in landslide susceptibility prediction modeling: A review on the incompleteness of landslide inventory and its influence rules.
Huang, Faming, Cao, Yu, Li, Wenbin, Catani, Filippo, Song, Guquan, Huang, Jinsong, Yu, Changshi. Zhongguo Meitan Xuehui / China Coal Society; 2024. Uncertainties of landslide susceptibility prediction: Influences of different study area scales and mapping unit scales.
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, 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, 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.
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, 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.
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, 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.
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.
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.
Huang, Faming, Liu, Keji, Jiang, Shuihua, Catani, Filippo, Liu, Weiping, Fan, Xuanmei, Huang, Jinsong. Kexue Chubanshe,Science Press; 2025. Optimization method of conditioning factors selection and combination for landslide susceptibility prediction.