Justin M. O'Sullivan

Molecular Biology · 2022

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 20 citations into it
• Genetics — 14 citations into it
• Artificial Intelligence — 11 citations into it

Whom Justin M. O'Sullivan trusts overall

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

1. Verónica Bolón-Canedo
2. Igor Kononenko
3. Heather J. Cordell

Papers from Justin M. O'Sullivan's perspective

Ordered by how strongly the researchers Justin M. O'Sullivan trusts endorse each paper. Same corpus, a different order for every researcher.

1. An Introduction to Variable and Feature Selection
2. Wrappers for Feature Subset Selection
3. Estimating Attributes: Analysis and Extensions of RELIEF
4. Random Forests
5. Toward Optimal Feature Selection
6. Efficient Feature Selection via Analysis of Relevance and Redundancy (Journal of machine learning research)
7. An Extensive Empirical Study of Feature Selection Metrics for Text Classification
8. Irrelevant Features and the Subset Selection Problem
9. A survey on feature selection methods
10. Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer.

Their papers

• A Review of Feature Selection Methods for Machine Learning-Based Disease Risk Prediction (2022) — 763 citations