Xiaoshen Xie
Management, Monitoring, Policy and Law · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Management, Monitoring, Policy and Law — 31 citations into it
- Global and Planetary Change — 28 citations into it
Whom Xiaoshen Xie trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Xiaoshen Xie overall
Papers from Xiaoshen Xie's perspective
Ordered by how strongly the researchers Xiaoshen Xie trusts endorse each paper. Same corpus, a different order for every researcher.
- Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
- 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)
- A new hybrid model using Step-wise Weight Assessment Ratio Analysis (SWARA) technique and Adaptive Neuro-fuzzy Inference System (ANFIS) for regional landslide hazard assessment in Iran
- 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 mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)
Their papers
- GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method (2018) — 257 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