Scott M. Williams

Genetics · 2001–2019

A researcher in the Science corpus: 5 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Scott M. Williams trusts overall

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

  1. Heather J. Cordell
  2. Jason H. Moore
  3. Marylyn DeRiggi Ritchie
  4. Lance W. Hahn

Who trusts Scott M. Williams overall

  1. Digna R. Velez

Papers from Scott M. Williams's perspective

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

  1. SMOTE: Synthetic Minority Over-sampling Technique
  2. MetaCost: a general method for making classifiers cost-sensitive
  3. C4.5, Class Imbalance, and Cost Sensitivity: Why Under-Sampling beats Over-Sampling
  4. Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions (Bioinform.)
  5. Power of multifactor dimensionality reduction for detecting gene‐gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity (Genetic Epidemiology)
  6. Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer.
  7. The effect of class distribution on classifier learning: an empirical study
  8. Toward Scalable Learning with Non-Uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection
  9. The Class Imbalance Problem: Significance and Strategies
  10. Traversing the conceptual divide between biological and statistical epistasis: systems biology and a more modern synthesis. (Bioessays)

Their papers