Désirée Baumann

Statistics and Probability · 2014

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Désirée Baumann trusts overall

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

  1. Paola Gramatica
  2. Alexander Tropsha
  3. Trevor J. Hastie
  4. Nicola Chirico
  5. Robert Tibshirani
  6. Steven Lemm
  7. Damjan Krstajic
  8. Jerome H. Friedman
  9. Benjamin Blankertz
  10. Ljubomir J. Buturovic

Who trusts Désirée Baumann overall

  1. Kristina Preuer
  2. Richard P. I. Lewis

Papers from Désirée Baumann's perspective

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

  1. The Elements of Statistical Learning
  2. Beware of q2! (Journal of Molecular Graphics and Modelling)
  3. Principles of QSAR models validation: internal and external
  4. Regression Shrinkage and Selection via the Lasso
  5. The Importance of Being Earnest: Validation is the Absolute Essential for Successful Application and Interpretation of QSPR Models
  6. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition
  7. Introduction to machine learning for brain imaging
  8. The Nature of Statistical Learning Theory
  9. Real External Predictivity of QSAR Models: How To Evaluate It? Comparison of Different Validation Criteria and Proposal of Using the Concordance Correlation Coefficient (Journal of Chemical Information and Modeling)
  10. Cross-validation pitfalls when selecting and assessing regression and classification models (Journal of Cheminformatics)

Their papers