Nicholas Pudjihartono

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

Whom Nicholas Pudjihartono 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 Nicholas Pudjihartono's perspective

Ordered by how strongly the researchers Nicholas Pudjihartono 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. Irrelevant Features and the Subset Selection Problem
  8. An Extensive Empirical Study of Feature Selection Metrics for Text Classification
  9. Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer.
  10. No free lunch theorems for optimization

Their papers