GIS-based evolutionary optimized Gradient Boosted Decision Trees for forest fire susceptibility mapping

A self-adaptive artificial bee colony algorithm based on global best for global optimization

(2017) Yu Xue et al.   SOFT COMPUTING

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

Applying GIS to develop a model for forest fire risk: A case study in Espírito Santo, Brazil

(2016) Fernando Coelho Eugenio et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Tropical Forest Fire Susceptibility Mapping at the Cat Ba National Park Area, Hai Phong City, Vietnam, Using GIS-Based Kernel Logistic Regression

(2016) Dieu Tien Bui et al.   Remote Sensing

Predicting Short-Term Subway Ridership and Prioritizing Its Influential Factors Using Gradient Boosting Decision Trees

(2016) Chuan Ding et al.   Sustainability

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

(2015) Ahmed Mohamed Youssef et al.   Landslides

Binary logistic regression versus stochastic gradient boosted decision trees in assessing landslide susceptibility for multiple-occurring landslide events: application to the 2009 storm event in Messina (Sicily, southern Italy)

(2015) L. Lombardo et al.   NATURAL HAZARDS

GIS-based forest fire susceptibility mapping in Iran: a comparison between evidential belief function and binary logistic regression models

(2015) Hamid Reza Pourghasemi   SCANDINAVIAN JOURNAL OF FOREST RESEARCH

Mapping regional forest fire probability using artificial neural network model in a Mediterranean forest ecosystem

(2015) Onur Satir et al.   Geomatics Natural Hazards & Risk

Modeling forest fire risk in the northeast of Iran using remote sensing and GIS techniques

(2012) Hamed Adab et al.   NATURAL HAZARDS

Using Monte Carlo simulations to estimate relative fire ignition danger in a low-to-medium fire-prone region

(2010) Marco Conedera et al.   FOREST ECOLOGY AND MANAGEMENT

A model for predicting human-caused wildfire occurrence in the region of Madrid, Spain

(2010) Lara Vilar et al.   INTERNATIONAL JOURNAL OF WILDLAND FIRE

Simulating dynamic and mixed-severity fire regimes: A process-based fire extension for LANDIS-II

(2009) Brian R. Sturtevant et al.   ECOLOGICAL MODELLING

Spatial and temporal extremes of wildfire sizes in Portugal (1984–2004)

(2009) P. de Zea Bermudez et al.   INTERNATIONAL JOURNAL OF WILDLAND FIRE