Peter Bachert

Spectroscopy · 2009–2018

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Spectroscopy — 9 citations into it
• Analytical Chemistry — 7 citations into it
• Statistics and Probability — 7 citations into it

Whom Peter Bachert trusts overall

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

1. Leo Breiman

Papers from Peter Bachert's perspective

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

1. Random Forests
2. Statistical Comparisons of Classifiers over Multiple Data Sets
3. A Statistical View of Some Chemometrics Regression Tools
4. Random Forests and Adaptive Nearest Neighbors
5. Gene selection and classification of microarray data using random forest
6. Consistency of Random Forests and Other Averaging Classifiers
7. Bias in random forest variable importance measures: Illustrations, sources and a solution
8. An Introduction to Variable and Feature Selection
9. Classification and Regression by randomForest
10. Genetic algorithms in chemometrics and chemistry: a review

Their papers

• A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data (2009) — 1,177 citations
• Pros and cons of ultra-high-field MRI/MRS for human application. (2018) — 479 citations