M. Lee

Artificial Intelligence · with Asadi · 2018

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 M. Lee trusts

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

  1. Markus Ringnér (in Molecular Biology)
  2. Paul Sajda (in Molecular Biology)
  3. Y. Fukuoka (in Artificial Intelligence)

Papers from M. Lee's perspective

Ordered by how strongly the researchers M. Lee 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. Machine learning for detection and diagnosis of disease.
  5. Applications of Machine Learning in Cancer Prediction and Prognosis (Cancer Informatics)
  6. On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality
  7. Original Contribution: Stacked generalization
  8. Anomaly detection: A survey
  9. Computing Machinery and Intelligence
  10. Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)

Their papers