Richard Marchese Robinson

2013

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Richard Marchese Robinson trusts overall

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

1. Alexander Tropsha
2. Andy Liaw

Papers from Richard Marchese Robinson's perspective

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

1. Random Forests
2. Principles of Data Mining
3. Best Practices for QSAR Model Development, Validation, and Exploitation
4. How to Explain Individual Classification Decisions
5. Classification and Regression by randomForest
6. Interpreting linear support vector machine models with heat map molecule coloring
7. Interpretation of Nonlinear QSAR Models Applied to Ames Mutagenicity Data
8. Visual Interpretation of Kernel‐Based Prediction Models
9. Introduction to algorithms
10. Neural Networks for Pattern Recognition

Their papers

• Interpreting random forest classification models using a feature contribution method (2013) — 144 citations