Name Marten Geertsema Affiliation پژوهشگر خارجی Degree _ Website Email — JournalPaper Presentation Speech WorkShop Book Innovation GrantAttraction Thesis Festival FinishedProject Sales Art StandardCreation TitleJournal 1 Application of a Novel Hybrid Machine Learning Algorithm in Shallow Landslide Susceptibility Mapping in a Mountainous Area Frontiers in Environmental Science 2 A Robust Deep-Learning Model for Landslide Susceptibility Mapping: A Case Study of Kurdistan Province, Iran SENSORS 3 Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm Geoscience Frontiers 4 Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine Learning Algorithms Remote Sensing 5 New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed FORESTS 6 Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms ISPRS International Journal of Geo-Information 7 Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms FORESTS 8 Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran FORESTS 9 Flood Detection and Susceptibility Mapping Using Sentinel-1 Remote Sensing Data and a Machine Learning Approach: Hybrid Intelligence of Bagging Ensemble Based on K-Nearest Neighbor Classifier Remote Sensing 10 Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm Remote Sensing