A. Goh

Artificial Intelligence · with Zhang · 2013–2020

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom A. Goh trusts overall

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

  1. David E. Rumelhart
  2. David Ruppert
  3. Klaus Nordhausen
  4. Wengang Zhang
  5. Jerome H. Friedman
  6. Geoffrey E. Hinton
  7. Leo Breiman
  8. Trevor J. Hastie
  9. Ronald J. Williams

Who trusts A. Goh overall

  1. Wengang Zhang
  2. Yazhou Xie
  3. Chongzhi Wu
  4. Runhong Zhang
  5. Saif Alzabeebee
  6. Majid Ebad Sichani
  7. Yongqin Li
  8. Jamie E. Padgett

Papers from A. Goh's perspective

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

  1. Learning internal representations by error propagation
  2. Bagging Predictors
  3. Random Forests
  4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  5. XGBoost: A Scalable Tree Boosting System
  6. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Multivariate adaptive regression splines
  9. Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation (Pattern Recognition)
  10. Wavelet support vector machine (IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics))

Their papers