Bilal S. A. Alhayani

Applied Nanoscience · 2021

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

Whom Bilal S. A. Alhayani trusts overall

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

  1. David Ruppert
  2. Radford M. Neal

Who trusts Bilal S. A. Alhayani overall

  1. Meghavi Rana

Papers from Bilal S. A. Alhayani's perspective

Ordered by how strongly the researchers Bilal S. A. Alhayani trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A new coronavirus associated with human respiratory disease in China (Nature)
  2. Pattern Recognition and Machine Learning
  3. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  4. Machine learning based approaches for detecting COVID-19 using clinical text data (International journal of information technology)
  5. Sampling-Based Approaches to Calculating Marginal Densities
  6. Ideal spatial adaptation by wavelet shrinkage
  7. Stochastic gradient boosting
  8. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study (The Lancet)
  9. Controlling the false discovery rate: a practical and powerful approach to multiple testing
  10. Estimating the Dimension of a Model

Their papers