Systematic sample subdividing strategy for training landslide susceptibility models

This publication has 51 references indexed in Scilit:

• A comparison of logistic regression-based models of susceptibility to landslides in western Colorado, USA
  Landslides, 2013
• Without power? Landslide inventories in the face of climate change
  Earth Surface Processes and Landforms, 2011
• Integrating physical and empirical landslide susceptibility models using generalized additive models
  Geomorphology, 2011
• Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling
  Environmental Modelling & Software, 2010
• Adaptation and comparison of expert opinion to analytical hierarchy process for landslide susceptibility mapping
  Bulletin of Engineering Geology and the Environment, 2008
• Design efficient support vector machine for fast classification
  Pattern Recognition, 2005
• The role of feature selection in artificial neural network applications
  International Journal of Remote Sensing, 2002
• Decision tree classification of land cover from remotely sensed data
  Remote Sensing of Environment, 1997
• The quality of training sample estimates of the Bhattacharyya coefficient
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990
• Procedures for Detecting Outlying Observations in Samples
  Technometrics, 1969