Jian-bing Peng
Science of the Total Environment · 2018–2021
A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Who trusts Jian-bing Peng overall
Papers from Jian-bing Peng's perspective
Ordered by how strongly the researchers Jian-bing Peng trusts endorse each paper. Same corpus, a different order for every researcher.
- The WEKA data mining software: an update
- Data Mining Practical Machine Learning Tools and Techniques
- 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)
- Bagging Predictors
- Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
- Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat - Turkey) (Computational Geosciences)
- The Nature of Statistical Learning Theory
- 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)
- Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (Science of the Total Environment)
Their papers
- Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer (2021) — 180 citations
- GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method (2018) — 257 citations
- Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (2018) — 426 citations