Shao-jun Li

Engineering Fracture Mechanics · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Shao-jun Li's perspective

Ordered by how strongly the researchers Shao-jun Li trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Data Mining Practical Machine Learning Tools and Techniques
  2. Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (Science of the Total Environment)
  3. 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)
  4. Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression (Landslides)
  5. The WEKA data mining software: an update
  6. Assessment of landslide susceptibility for a landslide-prone area (north of Yenice, NW Turkey) by fuzzy approach
  7. Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat - Turkey) (Computational Geosciences)
  8. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
  9. How can statistical models help to determine driving factors of landslides
  10. Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines

Their papers