Hooman H. Rashidi

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 Hooman H. Rashidi trusts overall

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

  1. Jerome H. Friedman
  2. Andy Liaw
  3. Jane Elith
  4. Trevor J. Hastie
  5. R. Caruana
  6. Jacqueline J. Meulman
  7. Matthew C. Wiener
  8. Arthur L. Samuel
  9. J. Leathwick

Who trusts Hooman H. Rashidi overall

  1. Reabal Najjar

Papers from Hooman H. Rashidi's perspective

Ordered by how strongly the researchers Hooman H. Rashidi 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