A Comprehensive Assessment of XGBoost Algorithm for Landslide Susceptibility Mapping in the Upper Basin of Ataturk Dam, Turkey

Derivation of earthquake-induced landslide distribution using aerial photogrammetry: the January 24, 2020, Elazig (Turkey) earthquake

(2021) Gizem Karakas et al.   Landslides

Use of Mamdani Fuzzy Algorithm for Multi-Hazard Susceptibility Assessment in a Developing Urban Settlement (Mamak, Ankara, Turkey)

(2020) Tugce Yanar et al.   ISPRS International Journal of Geo-Information

Multi-geohazards susceptibility mapping based on machine learning—a case study in Jiuzhaigou, China

(2020) Juan Cao et al.   NATURAL HAZARDS

Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping

(2020) Zhice Fang et al.   COMPUTERS & GEOSCIENCES

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

(2020) Abdelaziz Merghadi et al.   EARTH-SCIENCE REVIEWS

Imbalance-XGBoost: leveraging weighted and focal losses for binary label-imbalanced classification with XGBoost

(2020) Chen Wang et al.   PATTERN RECOGNITION LETTERS

Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer

(2020) Wei Chen et al.   Geoscience Frontiers

Comparative analysis of gradient boosting algorithms for landslide susceptibility mapping

(2020) Emrehan Kutlug Sahin   Geocarto International

Rainfall-Induced Shallow Landslide Susceptibility Mapping at Two Adjacent Catchments Using Advanced Machine Learning Algorithms

(2020) Ananta Man Singh Pradhan et al.   ISPRS International Journal of Geo-Information

Evaluation of Floods and Landslides Triggered by a Meteorological Catastrophe (Ordu, Turkey, August 2018) Using Optical and Radar Data

(2020) Sultan Kocaman et al.   GEOFLUIDS

On the use of hierarchical fuzzy inference systems (HFIS) in expert-based landslide susceptibility mapping: the central part of the Rif Mountains (Morocco)

(2019) B. C. Ozer et al.   Bulletin of Engineering Geology and the Environment

A Novel Performance Assessment Approach using Photogrammetric Techniques for Landslide Susceptibility Mapping with Logistic Regression, ANN and Random Forest

(2019) Sevgen et al.   SENSORS

Debris Flow Susceptibility Mapping Using Machine-Learning Techniques in Shigatse Area, China

(2019) Yonghong Zhang et al.   Remote Sensing

How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?

(2019) Yacine Achour et al.   Geoscience Frontiers

An Experimental Research on the Use of Recurrent Neural Networks in Landslide Susceptibility Mapping

(2019) Begum Mutlu et al.   ISPRS International Journal of Geo-Information

Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling

(2018) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A CitSci app for landslide data collection

(2018) Sultan Kocaman et al.   Landslides

Uncertainties in the Shuttle Radar Topography Mission (SRTM) Heights: Insights from the Indian Himalaya and Peninsula

(2017) Manas Mukul et al.   Scientific Reports

A comparison of logistic regression-based models of susceptibility to landslides in western Colorado, USA

(2013) Netra R. Regmi et al.   Landslides

Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran

(2012) Hamid Reza Pourghasemi et al.   NATURAL HAZARDS

Decision trees: a recent overview

(2011) S. B. Kotsiantis   ARTIFICIAL INTELLIGENCE REVIEW

Rainfall-based criteria for assessing slump rate of mountainous highway slopes: A case study of slopes along Highway 18 in Alishan, Taiwan

(2011) Shun-Kung Chang et al.   ENGINEERING GEOLOGY

An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps

(2008) H.A. Nefeslioglu et al.   ENGINEERING GEOLOGY

Neural network-based model for assessing failure potential of highway slopes in the Alishan, Taiwan Area: Pre- and post-earthquake investigation

(2008) Hung-Ming Lin et al.   ENGINEERING GEOLOGY

Input data for decision trees

(2006) S PIRAMUTHU   EXPERT SYSTEMS WITH APPLICATIONS