G. Paul
Remote Sensing in Earth Systems Sciences · with Hembram · 2019
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom G. Paul trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from G. Paul's perspective
Ordered by how strongly the researchers G. Paul trusts endorse each paper. Same corpus, a different order for every researcher.
- Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic… (Landslides)
- The measurement of observer agreement for categorical data.
- Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)
- Landslide susceptibility mapping using support vector machine and GIS at the Golestan Province, Iran (Proceedings of the Indian Academy of Sciences, Earth and Planetary Sciences)
- Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (Science of the Total Environment)
- Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
- An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps
- Assessment of landslide susceptibility for a landslide-prone area (north of Yenice, NW Turkey) by fuzzy approach
- A GIS-based comparative study of frequency ratio, statistical index and weights-of-evidence models in landslide susceptibility mapping (Arabian Journal of Geosciences)
- Artificial neural networks: fundamentals, computing, design, and application.