Eugen Schülter

Artificial Intelligence · 2008–2012

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Eugen Schülter trusts

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

  1. Tom Fawcett (in Artificial Intelligence)
  2. Hirotugu Akaike (in Evaluation & Benchmarks)

Who trusts Eugen Schülter

  1. Vukosi Marivate (in Infectious Diseases)

Papers from Eugen Schülter's perspective

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

  1. Classification and Regression Trees
  2. An introduction to ROC analysis
  3. Wrappers for Feature Subset Selection
  4. Correlation-based Feature Selection for Machine Learning
  5. The Elements of Statistical Learning
  6. Identification of common molecular subsequences.
  7. Basic local alignment search tool.
  8. Probabilistic reasoning in intelligent systems - networks of plausible inference
  9. A new look at the statistical model identification
  10. Induction of ripple-down rules applied to modeling large databases

Their papers