Evangelia Christodoulou

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Evangelia Christodoulou trusts overall

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

  1. Anne-Laure Boulesteix
  2. Ewout W. Steyerberg
  3. M. Pepe
  4. James Franklin
  5. David J. Hand
  6. Igor Kononenko
  7. B. Van calster
  8. Peter C. Austin
  9. Karel G. M. Moons
  10. Andrew Beam

Who trusts Evangelia Christodoulou overall

  1. Momin M. Malik
  2. Cynthia Rudin

Papers from Evangelia Christodoulou's perspective

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

  1. Do we need hundreds of classifiers to solve real world classification problems?
  2. Ten Simple Rules for Reducing Overoptimistic Reporting in Methodological Computational Research
  3. A Plea for Neutral Comparison Studies in Computational Sciences
  4. The elements of statistical learning: data mining, inference and prediction
  5. Clinical Prediction Models
  6. Internal validation of predictive models: efficiency of some procedures for logistic regression analysis. (Journal of Clinical Epidemiology)
  7. Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests (British medical journal)
  8. Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View
  9. The elements of statistical learning: data mining, inference, and prediction, 2nd Edition
  10. Key challenges for delivering clinical impact with artificial intelligence

Their papers