Arif Khan

Artificial Intelligence · 2019

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

Subfields

Whom Arif Khan trusts overall

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

  1. J. Ross Quinlan
  2. Tyler H. McCormick
  3. David Moher
  4. Mehran Sahami

Who trusts Arif Khan overall

  1. Léo Grinsztajn
  2. Nicholas Pudjihartono

Papers from Arif Khan's perspective

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

  1. Scikit-learn: Machine Learning in Python
  2. Induction of decision trees
  3. Statistical Comparisons of Classifiers over Multiple Data Sets
  4. A Hierarchical Model for Association Rule Mining of Sequential Events: An Approach to Automated Medical Symptom Prediction
  5. A logical calculus of the ideas immanent in nervous activity
  6. A Bayesian Approach to Filtering Junk E-Mail
  7. MACHINE LEARNING An Artificial Intelligence Approach
  8. Applications of Machine Learning in Cancer Prediction and Prognosis (Cancer Informatics)
  9. Applied Logistic Regression (Technometrics)
  10. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (British medical journal)

Their papers