Masarat Mohi Ud Din

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 Masarat Mohi Ud Din trusts

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

  1. Jerome H. Friedman (in Computational Mechanics)

Papers from Masarat Mohi Ud Din's perspective

Ordered by how strongly the researchers Masarat Mohi Ud Din 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. Consistent Nonparametric Regression
  8. The Nature of Statistical Learning Theory
  9. Bagging Predictors
  10. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization

Their papers