Tayaza Fadason

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 Tayaza Fadason trusts overall

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

1. Verónica Bolón-Canedo
2. Igor Kononenko
3. Heather J. Cordell
4. Yoav Benjamini
5. Ron Kohavi
6. Isabelle M Guyon
7. Lei Yu
8. Marcia C. Castro
9. Hanchuan Peng
10. Trevor J. Hastie

Papers from Tayaza Fadason's perspective

Ordered by how strongly the researchers Tayaza Fadason 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. Random Forests
4. Estimating Attributes: Analysis and Extensions of RELIEF
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. Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer.
10. A survey on feature selection methods

Their papers

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