标题/作者	年份
Earthquake‐induced chains of geologic hazards: Patterns, mechanisms, and impacts X Fan, G Scaringi, O Korup, AJ West, CJ van Westen, H Tanyas, N Hovius, ... Reviews of geophysics 57 (2), 421-503	2019
Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance A Merghadi, AP Yunus, J Dou, J Whiteley, B ThaiPham, DT Bui, R Avtar, ... Earth-Science Reviews 207, 103225	2020
Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China Y Wang, Z Fang, H Hong Science of the total environment 666, 975-993	2019
Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility W Chen, M Panahi, P Tsangaratos, H Shahabi, I Ilia, S Panahi, S Li, ... Catena 172, 212-231	2019
Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility A Jaafari, M Panahi, BT Pham, H Shahabi, DT Bui, F Rezaie, S Lee Catena 175, 430-445	2019
Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment DT Bui, P Tsangaratos, VT Nguyen, N Van Liem, PT Trinh Catena 188, 104426	2020
A spatially explicit deep learning neural network model for the prediction of landslide susceptibility D Van Dao, A Jaafari, M Bayat, D Mafi-Gholami, C Qi, H Moayedi, ... Catena 188, 104451	2020
Evaluating scale effects of topographic variables in landslide susceptibility models using GIS-based machine learning techniques KT Chang, A Merghadi, AP Yunus, BT Pham, J Dou Scientific reports 9 (1), 1-21	2019
Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping Y Wu, Y Ke, Z Chen, S Liang, H Zhao, H Hong Catena 187, 104396	2020
Geographical landslide early warning systems F Guzzetti, SL Gariano, S Peruccacci, MT Brunetti, I Marchesini, M Rossi, ... Earth-Science Reviews 200, 102973	2020
Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling W Chen, H Shahabi, A Shirzadi, H Hong, A Akgun, Y Tian, J Liu, A Zhu, ... Bulletin of Engineering Geology and the Environment 78 (6), 4397-4419	2019
Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment MI Sameen, B Pradhan, S Lee Catena 186, 104249	2020
Time series analysis and long short-term memory neural network to predict landslide displacement B Yang, K Yin, S Lacasse, Z Liu Landslides 16 (4), 677-694	2019
Landslide susceptibility mapping using different GIS-based bivariate models E Nohani, M Moharrami, S Sharafi, K Khosravi, B Pradhan, BT Pham, ... Water 11 (7), 1402	2019
Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping Z Fang, Y Wang, L Peng, H Hong Computers & Geosciences 139, 104470	2020
A novel performance assessment approach using photogrammetric techniques for landslide susceptibility mapping with logistic regression, ANN and random forest E Sevgen, S Kocaman, HA Nefeslioglu, C Gokceoglu Sensors 19 (18), 3940	2019
A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm D Sun, H Wen, D Wang, J Xu Geomorphology 362, 107201	2020
Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning J Dou, AP Yunus, A Merghadi, A Shirzadi, H Nguyen, Y Hussain, R Avtar, ... Science of the total environment 720, 137320	2020
Mapping landslides on EO data: Performance of deep learning models vs. traditional machine learning models N Prakash, A Manconi, S Loew Remote Sensing 12 (3), 346	2020
Evaluating GIS-based multiple statistical models and data mining for earthquake and rainfall-induced landslide susceptibility using the LiDAR DEM J Dou, AP Yunus, D Tien Bui, M Sahana, CW Chen, Z Zhu, W Wang, ... Remote Sensing 11 (6), 638	2019

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