Qamar Rayees Khan

International journal of information technology · 2020

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

Whom Qamar Rayees Khan trusts overall

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

  1. Jerome H. Friedman

Papers from Qamar Rayees Khan's perspective

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

  1. Stochastic gradient boosting
  2. Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity
  3. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study (The Lancet)
  4. A new coronavirus associated with human respiratory disease in China (Nature)
  5. Mapping the Landscape of Artificial Intelligence Applications against COVID-19 (Journal of Artificial Intelligence Research)
  6. Random Forests
  7. The Nature of Statistical Learning Theory
  8. Consistent Nonparametric Regression
  9. Bagging Predictors
  10. Game theory, on-line prediction and boosting

Their papers