Edward Hak-Sing Ip

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Molecular Biology — 5 citations into it

Whom Edward Hak-Sing Ip trusts overall

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

1. Max Kuhn

Papers from Edward Hak-Sing Ip's perspective

Ordered by how strongly the researchers Edward Hak-Sing Ip trusts endorse each paper. Same corpus, a different order for every researcher.

1. Random Forests
2. Gene selection with guided regularized random forest
3. Permutation importance: a corrected feature importance measure
4. Evaluation of variable selection methods for random forests and omics data sets (Briefings Bioinform.)
5. OpenML: An R package to connect to the machine learning platform OpenML
6. The caret Package
7. Comparison of Variable Selection Methods for Clinical Predictive Modeling
8. VSURF: An R Package for Variable Selection Using Random Forests (The R Journal)
9. An Introduction to Variable and Feature Selection
10. Classification and Regression by randomForest

Their papers

• A Comparison of Random Forest Variable Selection Methods for Classification Prediction Modeling (2019) — 1,354 citations