E. Betts

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 E. Betts trusts overall

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

  1. Jerome H. Friedman

Who trusts E. Betts overall

  1. Reabal Najjar

Papers from E. Betts's perspective

Ordered by how strongly the researchers E. Betts 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. An Introduction to Statistical Learning
  4. A working guide to boosted regression trees.
  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