Binh Thai Pham

Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance

A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran

A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

A novel hybrid artificial intelligence approach for flood susceptibility assessment

Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS

Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil

Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)

Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan

Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)

Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods

Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete