Kawtar Aarika

FNC/MobiSPC · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Kawtar Aarika trusts overall

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

  1. Eric R. Ziegel
  2. William Stafford Noble

Papers from Kawtar Aarika's perspective

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

  1. Support vector machine
  2. [Breast cancer]. (Nihon rinsho. Japanese journal of clinical medicine)
  3. The Elements of Statistical Learning
  4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  5. R: A language and environment for statistical computing.
  6. Projection Pursuit Regression
  7. Applied Statistics and Probability for Engineers (Technometrics)
  8. Multivariate T-Distributions and Their Applications
  9. Generalized Linear Models
  10. Applied Logistic Regression (Technometrics)

Their papers