Li Zhu
Journal of Mountain Science · with Chen · 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 Li Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Li Zhu's perspective
Ordered by how strongly the researchers Li Zhu trusts endorse each paper. Same corpus, a different order for every researcher.
- Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (Science of the Total Environment)
- The Boosting Approach to Machine Learning An Overview
- Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China (Computational Geosciences)
- Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China. (Science of the Total Environment)
- The Nature of Statistical Learning Theory
- Generalized Linear Models
- 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)
- 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)
- Greedy function approximation: A gradient boosting machine.
- Game theory, on-line prediction and boosting