Pao-Shan Yu

Global and Planetary Change · 2000–2019

A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Pao-Shan Yu trusts overall

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

  1. Qingyun Duan
  2. Soroosh Sorooshian
  3. Shie-Yui Liong
  4. Yuhai Wu
  5. Vinod Kumar Gupta

Who trusts Pao-Shan Yu overall

  1. Chaopeng Shen
  2. Zhiyong Liu
  3. Martijn J. Booij
  4. Ozgur Kisi
  5. Chun-tian Cheng
  6. Kwok-Wing Chau
  7. Ebrahim Sharifi Garmdareh
  8. Pinggen Zhou
  9. Yun Wang
  10. M. Taghi Sattari

Papers from Pao-Shan Yu's perspective

Ordered by how strongly the researchers Pao-Shan Yu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Model Induction with Support Vector Machines: Introduction and Applications
  2. Using support vector machines for long-term discharge prediction
  3. Random Forests
  4. Weighted least squares support vector machines: robustness and sparse approximation (Neurocomputing)
  5. Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree
  6. Classification and Regression by randomForest
  7. A comparative study of artificial neural network, adaptive neuro fuzzy inference system and support vector machine for forecasting river flow in the semiarid mountain region
  8. A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series
  9. A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer
  10. Benchmarking Least Squares Support Vector Machine Classifiers (Machine-mediated learning)

Their papers