Iain Brown

Statistics and Probability · 2012

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Iain Brown trusts overall

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

  1. Nathalie Japkowicz
  2. Jaka Demsar
  3. Foster J. Provost
  4. Bart Baesens
  5. Jerome H. Friedman
  6. David West
  7. David D. Jensen
  8. Tony Van Gestel
  9. Gary M. Weiss
  10. J. Ross Quinlan

Who trusts Iain Brown overall

  1. Jie Sun
  2. Håvard Kvamme
  3. Yufei Xia
  4. Zhiyong Li
  5. Stefan Lessmann
  6. Chongsheng Zhang
  7. Jie Lang
  8. Nikolai Sellereite
  9. Chuanzhe Liu
  10. Xinyi Hu

Papers from Iain Brown's perspective

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

  1. Statistical Comparisons of Classifiers over Multiple Data Sets
  2. Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction (Journal of Artificial Intelligence Research)
  3. The Nature of Statistical Learning Theory
  4. Learning from Imbalanced Data Sets: A Comparison of Various Strategies *
  5. Efficient progressive sampling
  6. Benchmarking state-of-the-art classification algorithms for credit scoring (Journal of the Operational Research Society)
  7. Neural network credit scoring models (Computers & Operations Research)
  8. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
  9. Bagging Predictors
  10. Robust Classification for Imprecise Environments

Their papers