X. Pei
Science of the Total Environment · with Zhu · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Papers from X. Pei's perspective
Ordered by how strongly the researchers X. Pei trusts endorse each paper. Same corpus, a different order for every researcher.
- The WEKA data mining software: an update
- Random Forests
- Data Mining Practical Machine Learning Tools and Techniques
- Bagging Predictors
- Special Invited Paper-Additive logistic regression: A statistical view of boosting
- The elements of statistical learning: data mining, inference and prediction
- Multiclass cancer diagnosis using tumor gene expression signatures (Proceedings of the National Academy of Sciences of the United States of America)
- The Nature of Statistical Learning Theory
- Boosting the margin: A new explanation for the effectiveness of voting methods
- Arcing classifier (with discussion and a rejoinder by the author)
Their papers
- Facile in-situ design strategy to disperse TiO2 nanoparticles on graphene for the enhanced photocatalytic degradation of rhodamine 6G (2017) — 167 citations
- Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China. (2018) — 426 citations