Soeren H. Welling

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Soeren H. Welling trusts overall

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

  1. Jerome H. Friedman
  2. Andy Liaw
  3. Paulo Cortez
  4. Torsten Hothorn
  5. V. Kuz'min
  6. Anna Palczewska
  7. Raphaël Marée
  8. Mark J. Embrechts
  9. Matthew C. Wiener
  10. Kurt Hornik

Who trusts Soeren H. Welling overall

  1. Amina Adadi
  2. Mohammed Berrada

Papers from Soeren H. Welling's perspective

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

  1. Random Forests
  2. Classification and Regression by randomForest
  3. Greedy function approximation: A gradient boosting machine.
  4. Scikit-learn: Machine Learning in Python
  5. Unbiased Recursive Partitioning: A Conditional Inference Framework
  6. Using sensitivity analysis and visualization techniques to open black box data mining models
  7. ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
  8. Interpreting random forest classification models using a feature contribution method
  9. © Institute of Mathematical Statistics, 2010 To Explain or to Predict?
  10. Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

Their papers