Sarah Nogueira

Statistics and Probability · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sarah Nogueira trusts overall

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

  1. J. Fleiss
  2. Ludmila I. Kuncheva
  3. David Ruppert
  4. Maqc Consortium
  5. K. Gwet
  6. Isabelle M Guyon
  7. Nicolai Meinshausen
  8. Alexandros Kalousis
  9. Yvan Saeys
  10. Gregory Ditzler

Who trusts Sarah Nogueira overall

  1. Lingxiao Huang

Papers from Sarah Nogueira's perspective

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

  1. A stability index for feature selection
  2. An Introduction to Variable and Feature Selection
  3. Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection
  4. ImageNet classification with deep convolutional neural networks
  5. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  6. Robust Feature Selection Using Ensemble Feature Selection Techniques (ECML/PKDD)
  7. Stability of feature selection algorithms: a study on high-dimensional spaces
  8. Measuring nominal scale agreement among many raters.
  9. A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance
  10. Gradient-based learning applied to document recognition

Their papers