H. Kok

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom H. Kok trusts overall

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

  1. Paul Sajda
  2. Markus Ringnér
  3. Y. Fukuoka
  4. Ronald M. Summers
  5. Shijun Wang
  6. Isabelle M Guyon
  7. Joseph A. Cruz
  8. Erik Gawehn
  9. Michael Egmont-Petersen

Papers from H. Kok's perspective

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

  1. An Introduction to Variable and Feature Selection
  2. Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population. (Gastroenterology)
  3. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition by Trevor Hastie, Robert Tibshirani, Jerome Friedman
  4. Applications of Machine Learning in Cancer Prediction and Prognosis (Cancer Informatics)
  5. On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality
  6. Computing Machinery and Intelligence
  7. Original Contribution: Stacked generalization
  8. Anomaly detection: A survey
  9. Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)
  10. Machine Learning Prediction of Cancer Cell Sensitivity to Drugs Based on Genomic and Chemical Properties

Their papers