Douglas Spangler

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 Douglas Spangler trusts overall

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

  1. S. van Buuren
  2. Tianqi Chen
  3. Gary S. Collins
  4. Y. Raita
  5. Carlos Guestrin
  6. Karin G. M. Groothuis-Oudshoorn
  7. Johannes B Reitsma

Papers from Douglas Spangler's perspective

Ordered by how strongly the researchers Douglas Spangler 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. MICE: Multivariate Imputation by Chained Equations in R
  4. Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement
  5. Emergency department triage prediction of clinical outcomes using machine learning models (Critical Care)
  6. Regression Shrinkage and Selection via the Lasso
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. The Elements of Statistical Learning
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Regression Modeling Strategies (Technometrics)

Their papers