Hans Blomberg

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hans Blomberg trusts

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

  1. S. van Buuren (in Statistics and Probability)
  2. Carlos Guestrin (in Artificial Intelligence)
  3. Karin G. M. Groothuis-Oudshoorn (in Statistics and Probability)
  4. Tianqi Chen (in Artificial Intelligence)

Papers from Hans Blomberg's perspective

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

  1. XGBoost: A Scalable Tree Boosting System
  2. Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data (JAMA Internal Medicine)
  3. Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement
  4. MICE: Multivariate Imputation by Chained Equations in R
  5. Emergency department triage prediction of clinical outcomes using machine learning models (Critical Care)
  6. Regression Modeling Strategies (Technometrics)
  7. The Elements of Statistical Learning
  8. A weakly informative default prior distribution for logistic and other regression models
  9. Regression Shrinkage and Selection via the Lasso
  10. Regularization Paths for Generalized Linear Models via Coordinate Descent

Their papers