Loris Foresti

GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran

Integrating multicriteria decision-making analysis for a GIS-based settlement area in the district of Atakum, Samsun, Turkey

Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)

A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS

Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia

GIS-based multivariate adaptive regression spline and random forest models for groundwater potential mapping in Iran

Earth observation in service of the 2030 Agenda for Sustainable Development

Geospatial big data handling theory and methods: A review and research challenges

A Comparative Assessment Between Three Machine Learning Models and Their Performance Comparison by Bivariate and Multivariate Statistical Methods in Groundwater Potential Mapping

Learning wind fields with multiple kernels

Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping