Reid A. Johnson

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #20,766 of 35,345 by trust here, #20,377 by citations

Whom Reid A. Johnson trusts overall

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

1. Nathalie Japkowicz
2. Charles Peter Elkan
3. Radford M. Neal
4. Nitesh V. Chawla
5. Andy Liaw

Who trusts Reid A. Johnson overall

1. Hyun-Jae Choi
2. Andrea Dal Pozzolo

Papers from Reid A. Johnson's perspective

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

1. SMOTE: Synthetic Minority Over-sampling Technique
2. C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling
3. The Foundations of Cost-Sensitive Learning
4. Editorial: special issue on learning from imbalanced data sets
5. Dataset Shift in Machine Learning
6. Pattern Classification
7. VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
8. The class imbalance problem: A systematic study
9. Applying Support Vector Machines to Imbalanced Datasets (European Conference on Machine Learning)
10. The effect of class distribution on classifier learning: an empirical study

Their papers

• Calibrating Probability with Undersampling for Unbalanced Classification (2015) — 681 citations