Tao Chen

Journal of Mountain Science · with Lei · 2020

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

Whom Tao Chen trusts overall

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

  1. Robert E. Schapire
  2. Wei Chen
  3. Chao Zhou
  4. Biswajeet Pradhan

Papers from Tao Chen's perspective

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

  1. Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (Science of the Total Environment)
  2. The Boosting Approach to Machine Learning An Overview
  3. Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China (Computational Geosciences)
  4. Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China. (Science of the Total Environment)
  5. The Nature of Statistical Learning Theory
  6. Generalized Linear Models
  7. 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)
  8. Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling (Environmental Modelling & Software)
  9. Greedy function approximation: A gradient boosting machine.
  10. Data Mining Practical Machine Learning Tools and Techniques

Their papers