Zhao Duan
Management, Monitoring, Policy and Law · 2017–2018
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Management, Monitoring, Policy and Law — 42 citations into it
- Global and Planetary Change — 38 citations into it
Whom Zhao Duan trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Biswajeet Pradhan (in Management, Monitoring, Policy and Law)
Papers from Zhao Duan's perspective
Ordered by how strongly the researchers Zhao Duan trusts endorse each paper. Same corpus, a different order for every researcher.
- Data Mining Practical Machine Learning Tools and Techniques
- Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
- The WEKA data mining software: an update
- 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)
- How can statistical models help to determine driving factors of landslides
- A GIS-based comparative study of frequency ratio, statistical index and weights-of-evidence models in landslide susceptibility mapping (Arabian Journal of Geosciences)
- GIS-based landslide susceptibility mapping using analytical hierarchy process (AHP) and certainty factor (CF) models for the Baozhong region of Baoji City, China (Environmental Earth Sciences)
- Landslide susceptibility mapping based on GIS and support vector machine models for the Qianyang County, China (Environmental Earth Sciences)
- A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS (Computational Geosciences)
- 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)
Their papers
- GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method (2018) — 257 citations
- Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (2018) — 426 citations
- A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility (2017) — 836 citations