A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning MethodsKhabat Khosravi, Indra Prakash, Haoyuan Hong et al.|Journal of Hydrology|2019Cited by 726
A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)Binh Thai Pham, M. B. Dholakia, Biswajeet Pradhan et al.|Environmental Modelling & Software|2016Cited by 540
Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)Haoyuan Hong, Baharin Bin Ahmad, Junzhi Liu et al.|CATENA|2018Cited by 505
GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworksDieu Tien Bui, Inge Revhaug, Tien-Chung Ho et al.|Environmental Earth Sciences|2016Cited by 319
A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mappingSeyed Amir Naghibi, Özgür Kişi, Biswajeet Pradhan et al.|Journal of Hydrology|2017Cited by 215