Nam K. Tran

Artificial Intelligence · 2019

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

Subfields

Whom Nam K. Tran trusts overall

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

  1. Jerome H. Friedman
  2. Andy Liaw
  3. Jane Elith

Who trusts Nam K. Tran overall

  1. Reabal Najjar

Papers from Nam K. Tran's perspective

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

  1. An empirical comparison of supervised learning algorithms
  2. Multiple additive regression trees with application in epidemiology (Statistics in Medicine)
  3. A working guide to boosted regression trees.
  4. An Introduction to Statistical Learning
  5. Some Studies in Machine Learning Using the Game of Checkers
  6. Classification and Regression by randomForest
  7. Interpretation and Impact of Real-World Clinical Data for the Practicing Clinician (Advances in Therapy)
  8. Medical big data: promise and challenges (Kidney Research and Clinical Practice)
  9. Classification and Mutation Prediction from Non-Small Cell Lung Cancer Histopathology Images using Deep Learning
  10. Machine learning in medicine: Addressing ethical challenges (PLoS Medicine)

Their papers