Steven D. Brown
Analytical Chemistry · with Feudale · 1995–2009
A researcher in the Science corpus: 8 papers; trusts 9 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Analytical Chemistry — 15 citations into it; #413 of 1,254 by trust here, #309 by citations
- Control and Systems Engineering — 8 citations into it
- Statistics and Probability — 8 citations into it
- Industrial and Manufacturing Engineering — 7 citations into it; #814 of 2,521 by trust here, #812 by citations
Whom Steven D. Brown trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Steven D. Brown overall
Papers from Steven D. Brown's perspective
Ordered by how strongly the researchers Steven D. Brown trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- C4.5: Programs for Machine Learning
- Programs for Machine Learning
- A further comparison of splitting rules for decision-tree induction
- Multivariate Decision Trees
- A System for Induction of Oblique Decision Trees
- Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid
- A Short Introduction to Boosting
- Monte Carlo cross validation
- Sequential application of backward interval partial least squares and genetic algorithms for the selection of relevant spectral regions
Their papers
- Stacked partial least squares regression analysis for spectral calibration and prediction (2009) — 72 citations
- Reference method for broth dilution antifungal susceptibility testing of yeasts : Third informational supplement (2008) — 674 citations
- An introduction to decision tree modeling (2004) — 1,217 citations
- Transfer of multivariate calibration models: a review (2002) — 489 citations
- Piecewise orthogonal signal correction (2002) — 55 citations
- Robust Calibration with Respect to Background Variation (2001) — 47 citations
- Improved calculation of the net analyte signal in inverse multivariate calibration (2001) — 54 citations
- Neural network models of potential energy surfaces (1995)