Line Katrine Harder Clemmensen

Artificial Intelligence · 2015–2016

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

Subfields

Whom Line Katrine Harder Clemmensen trusts overall

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

  1. Andy Liaw
  2. Anna Palczewska
  3. Jerome H. Friedman
  4. Matthew C. Wiener
  5. Trevor J. Hastie

Who trusts Line Katrine Harder Clemmensen overall

  1. Mohammed Berrada
  2. Amina Adadi

Papers from Line Katrine Harder Clemmensen's perspective

Ordered by how strongly the researchers Line Katrine Harder Clemmensen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Random Forests
  2. Classification and Regression by randomForest
  3. Scikit-learn: Machine Learning in Python
  4. Greedy function approximation: A gradient boosting machine.
  5. Unbiased Recursive Partitioning: A Conditional Inference Framework
  6. ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
  7. Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation
  8. Using sensitivity analysis and visualization techniques to open black box data mining models
  9. Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling
  10. Random Forest Models To Predict Aqueous Solubility

Their papers