Jiale Wang

Management, Monitoring, Policy and Law · with Bui · 2017

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiale Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Wei Chen
  2. Biswajeet Pradhan
  3. Huichan Chai

Who trusts Jiale Wang overall

  1. Wei Chen

Papers from Jiale Wang's perspective

Ordered by how strongly the researchers Jiale Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
  2. 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)
  3. Comparison of a logistic regression and Naïve Bayes classifier in landslide susceptibility assessments: The influence of models complexity and training dataset size
  4. How can statistical models help to determine driving factors of landslides
  5. A GIS-based comparative study of frequency ratio, statistical index and weights-of-evidence models in landslide susceptibility mapping (Arabian Journal of Geosciences)
  6. 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)
  7. Landslide susceptibility mapping based on GIS and support vector machine models for the Qianyang County, China (Environmental Earth Sciences)
  8. 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)
  9. 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
  10. Landslide susceptibility mapping in Mizunami City, Japan: A comparison between logistic regression, bivariate statistical analysis and multivariate adaptive regression spline models

Their papers