Natalia Tiberti

Statistics and Probability · 2011

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Natalia Tiberti trusts

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

  1. Tom Fawcett (in Artificial Intelligence)

Who trusts Natalia Tiberti

  1. F. Nahm (in Artificial Intelligence)
  2. Ilker Ünal (in Artificial Intelligence)
  3. Jalal Al-Tamimi (in Artificial Intelligence)
  4. Michael C. Sachs (in Artificial Intelligence)

Papers from Natalia Tiberti's perspective

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

  1. An introduction to ROC analysis
  2. ROCR: visualizing classifier performance in R (Bioinform.)
  3. ROC analysis: applications to the classification of biological sequences and 3D structures (Briefings Bioinform.)
  4. Estimation and Comparison of Receiver Operating Characteristic Curves (The Stata Journal)
  5. The meaning and use of the area under a receiver operating characteristic (ROC) curve.
  6. Robust Classification for Imprecise Environments
  7. Phases of biomarker development for early detection of cancer. (Journal of the National Cancer Institute)
  8. C-reactive protein and other markers of inflammation in the prediction of cardiovascular disease in women. (New England Journal of Medicine)
  9. The Statistical Evaluation of Medical Tests for Classification and Prediction
  10. Association between myeloperoxidase levels and risk of coronary artery disease. (Journal of the American Medical Association (JAMA))

Their papers