Tim Verdonck

2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Tim Verdonck trusts

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

  1. Thomas G. Dietterich (in Evaluation & Benchmarks)
  2. J. Ross Quinlan (in Algorithms & Complexity)
  3. John R. Koza (in Optimization & Training)
  4. Charles Peter Elkan (in Optimization & Training)
  5. Alex M. Andrew (in Network Science & Complex Systems)
  6. Jaka Demsar (in Evaluation & Benchmarks)

Papers from Tim Verdonck's perspective

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

  1. C4.5: Programs for Machine Learning
  2. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
  3. Genetic Programming: On the Programming of Computers by Means of Natural Selection
  4. Random Forests
  5. Statistical Comparisons of Classifiers over Multiple Data Sets
  6. Unbiased Recursive Partitioning: A Conditional Inference Framework
  7. Adaptation in Natural and Artificial Sys-tems: An Introductory Analysis with Applications to Biology
  8. Quantum computers (Nature)
  9. Constructing Optimal Binary Decision Trees is NP-Complete
  10. Customer Satisfaction Cues To Support Market Segmentation and Explain Switching Behavior

Their papers