Boon Ting

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Boon Ting trusts

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

  1. Tom Fawcett (in Artificial Intelligence)
  2. C. Burges (in Statistical Learning Theory)
  3. Max Kuhn (in Analytical Chemistry)

Papers from Boon Ting's perspective

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

  1. An introduction to ROC analysis
  2. Data Mining - Concepts and Techniques (Künstliche Intell.)
  3. A Tutorial on Support Vector Machines for Pattern Recognition
  4. Building Predictive Models in R Using the caret Package
  5. The TIMI risk score for unstable angina/non-ST elevation MI: A method for prognostication and therapeutic decision making.
  6. Sudden death due to cardiac arrhythmias. (New England Journal of Medicine)
  7. Random Forests
  8. A validated prediction model for all forms of acute coronary syndrome: estimating the risk of 6-month postdischarge death in an international registry. (Journal of the American Medical Association (JAMA))
  9. Toward integrating feature selection algorithms for classification and clustering (IEEE Transactions on Knowledge and Data Engineering)
  10. Validation of a modified Early Warning Score in medical admissions.

Their papers