Landslide Susceptibility Mapping Based on Random Forest and Boosted Regression Tree Models, and a Comparison of Their Performance

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

(2018) Haoyuan Hong et al.   CATENA

Groundwater spring potential modelling: Comprising the capability and robustness of three different modeling approaches

(2018) Omid Rahmati et al.   JOURNAL OF HYDROLOGY

A novel geographical information system-based Ant Miner algorithm model for delineating groundwater flowing artesian well boundary: a case study from Iraqi southern and western deserts

(2017) Alaa M. Al-Abadi   Environmental Earth Sciences

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

(2017) Seyed Amir Naghibi et al.   THEORETICAL AND APPLIED CLIMATOLOGY

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)

(2017) Bahareh Kalantar et al.   Geomatics Natural Hazards & Risk

A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China

(2017) Wei Chen et al.   Geomatics Natural Hazards & Risk

Integration of the Statistical Index Method and the Analytic Hierarchy Process technique for the assessment of landslide susceptibility in Huizhou, China

(2016) Guifang Zhang et al.   CATENA

Comparison of a logistic regression and Naïve Bayes classifier in landslide susceptibility assessments: The influence of models complexity and training dataset size

(2016) Paraskevas Tsangaratos et al.   CATENA

GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks

(2016) Dieu Tien Bui et al.   Environmental Earth Sciences

Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran

(2016) Hamid Reza Pourghasemi et al.   Environmental Earth Sciences

A hybrid feature selection algorithm integrating an extreme learning machine for landslide susceptibility modeling of Mt. Woomyeon, South Korea

(2016) Nikhil N. Vasu et al.   GEOMORPHOLOGY

Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods

(2016) Jian Zhou et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

A novel ensemble classifier of rotation forest and Naïve Bayer for landslide susceptibility assessment at the Luc Yen district, Yen Bai Province (Viet Nam) using GIS

(2016) Binh Thai Pham et al.   Geomatics Natural Hazards & Risk

Flash Flood Hazard Susceptibility Mapping Using Frequency Ratio and Statistical Index Methods in Coalmine Subsidence Areas

(2016) Chen Cao et al.   Sustainability

Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab basin, Iran

(2015) Himan Shahabi et al.   Environmental Earth Sciences

Predicting fish species richness in estuaries: Which modelling technique to use?

(2015) Susana França et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic

(2014) A-Xing Zhu et al.   GEOMORPHOLOGY

An assessment of multivariate and bivariate approaches in landslide susceptibility mapping: a case study of Duzkoy district

(2014) Taskin Kavzoglu et al.   NATURAL HAZARDS

A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping

(2013) Omar F. Althuwaynee et al.   CATENA

Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping

(2013) Natan Micheletti et al.   Mathematical Geosciences

Landslide susceptibility mapping by binary logistic regression, analytical hierarchy process, and statistical index models and assessment of their performances

(2013) H. R. Pourghasemi et al.   NATURAL HAZARDS

The 2010 Yushu earthquake triggered landslide hazard mapping using GIS and weight of evidence modeling

(2012) Chong Xu et al.   Environmental Earth Sciences

Landslide susceptibility mapping using frequency ratio, analytic hierarchy process, logistic regression, and artificial neural network methods at the Inje area, Korea

(2012) Soyoung Park et al.   Environmental Earth Sciences

Characterising performance of environmental models

(2012) Neil D. Bennett et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Landslide susceptibility mapping along road corridors in the Indian Himalayas using Bayesian logistic regression models

(2012) Iswar Das et al.   GEOMORPHOLOGY

Landslide susceptibility mapping at Golestan Province, Iran: A comparison between frequency ratio, Dempster–Shafer, and weights-of-evidence models

(2012) Majid Mohammady et al.   JOURNAL OF ASIAN EARTH SCIENCES

A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping: Sultan Mountains, SW Turkey

(2012) Adnan Ozdemir et al.   JOURNAL OF ASIAN EARTH SCIENCES

A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey

(2011) A. Yalcin et al.   CATENA

Combining neural network with fuzzy, certainty factor and likelihood ratio concepts for spatial prediction of landslides

(2011) D. P. Kanungo et al.   NATURAL HAZARDS

Landslide susceptibility analysis in the Hoa Binh province of Vietnam using statistical index and logistic regression

(2011) Dieu Tien Bui et al.   NATURAL HAZARDS

Letter to the Editor: Stability of Random Forest importance measures

(2010) M. L. Calle et al.   BRIEFINGS IN BIOINFORMATICS

A GIS-based neuro-fuzzy procedure for integrating knowledge and data in landslide susceptibility mapping

(2010) Mohammad H. Vahidnia et al.   COMPUTERS & GEOSCIENCES

Comparison and ranking of different modelling techniques for prediction of site index in Mediterranean mountain forests

(2010) Wim Aertsen et al.   ECOLOGICAL MODELLING

Landslide susceptibility maps comparing frequency ratio and artificial neural networks: a case study from the Nepal Himalaya

(2010) Chandra Prakash Poudyal et al.   Environmental Earth Sciences

The boosting: A new idea of building models

(2009) Dong-Sheng Cao et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Techniques for evaluating the performance of landslide susceptibility models

(2009) Paolo Frattini et al.   ENGINEERING GEOLOGY

Climate change effects on landslides along the southwest coast of British Columbia

(2009) Matthias Jakob et al.   GEOMORPHOLOGY

Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat—Turkey)

(2008) Işık Yilmaz   COMPUTERS & GEOSCIENCES

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

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY