Andrew Estabrooks

International Conference on Climate Informatics · 2004

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Whom Andrew Estabrooks trusts overall

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

  1. Foster J. Provost
  2. Nitesh V. Chawla
  3. Tom Fawcett
  4. Kevin W. Bowyer

Who trusts Andrew Estabrooks overall

  1. Andrea Dal Pozzolo
  2. Alberto Fernández
  3. Victoria López
  4. Shuo Wang
  5. Qiong Wei
  6. Sokol Koço
  7. Paula Branco
  8. Sheng Wang
  9. Hui Han
  10. Varun Kumar

Papers from Andrew Estabrooks's perspective

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

  1. Robust Classification for Imprecise Environments
  2. SMOTE: Synthetic Minority Over-sampling Technique
  3. MetaCost: a general method for making classifiers cost-sensitive
  4. Fast Effective Rule Induction
  5. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
  6. The use of the area under the ROC curve in the evaluation of machine learning algorithms
  7. Evaluating boosting algorithms to classify rare classes: comparison and improvements (Proceedings 2001 IEEE International Conference on Data Mining)
  8. Random Forests
  9. Classification and regression trees
  10. Heterogeneous Uncertainty Sampling for Supervised Learning

Their papers