Bruce Hedin

2011

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

Whom Bruce Hedin trusts overall

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

  1. Tom Fawcett

Who trusts Bruce Hedin overall

  1. Douglas W. Oard

Papers from Bruce Hedin's perspective

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

  1. An introduction to ROC analysis
  2. TREC 2006 Legal Track Overview
  3. Classification and regression trees
  4. Detecting Concept Drift with Support Vector Machines (International Conference on Machine Learning)
  5. The use of the area under the ROC curve in the evaluation of machine learning algorithms
  6. Robust Classification for Imprecise Environments
  7. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
  8. MetaCost: a general method for making classifiers cost-sensitive
  9. Measuring the accuracy of diagnostic systems.
  10. Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers

Their papers