Melissa Meeker

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Information Systems — 5 citations into it

Whom Melissa Meeker trusts overall

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

1. Igor Kononenko
2. Huan Liu
3. Robert Tibshirani
4. Yijun Sun
5. Marko Robnik-Sikonja
6. Isabelle M Guyon
7. Manoranjan Dash
8. Lei Yu
9. Zheng Zhao
10. David Hilton Wolpert

Who trusts Melissa Meeker overall

1. Tansel Dökeroğlu

Papers from Melissa Meeker's perspective

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

1. An Introduction to Variable and Feature Selection
2. Estimating Attributes: Analysis and Extensions of RELIEF
3. Wrappers for Feature Subset Selection
4. Regression Shrinkage and Selection via the Lasso
5. Scikit-learn: Machine Learning in Python
6. The WEKA data mining software: an update
7. Feature Selection for Classification
8. Selection of Relevant Features and Examples in Machine Learning
9. Toward Optimal Feature Selection
10. Robust Feature Selection Using Ensemble Feature Selection Techniques (ECML/PKDD)

Their papers

• Relief-Based Feature Selection: Introduction and Review (2017) — 1,180 citations