J. Segal
2004
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Whom J. Segal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts J. Segal overall
Papers from J. Segal's perspective
Ordered by how strongly the researchers J. Segal trusts endorse each paper. Same corpus, a different order for every researcher.
- Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer.
- Multifactor dimensionality reduction software for detecting gene-gene and gene-environment interactions (Bioinform.)
- Power of multifactor dimensionality reduction for detecting gene‐gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity (Genetic Epidemiology)
- Experiments with a New Boosting Algorithm
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Random Forests
- Sequence Analysis Using Logic Regression
- Pattern Recognition and Neural Networks
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction
- Applied Logistic Regression (Technometrics)
Their papers
- Screening large-scale association study data: exploiting interactions using random forests (2004) — 495 citations