C. Mues

Artificial Intelligence · 2003–2012

A researcher in the Science corpus: 6 papers; trusts 23 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom C. Mues trusts overall

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

  1. Bart Baesens
  2. Jaka Demsar
  3. J. Ross Quinlan
  4. Nathalie Japkowicz
  5. Nitesh V. Chawla
  6. Tony Van Gestel
  7. Foster J. Provost
  8. David West
  9. Thomas G. Dietterich
  10. David Martens

Who trusts C. Mues overall

  1. Alex Alves Freitas
  2. David Martens
  3. Emilio Carrizosa
  4. Wouter Verbeke
  5. Cynthia Rudin
  6. Chakkrit Kla Tantithamthavorn
  7. Bart Baesens
  8. Jie Sun
  9. Giulia Vilone
  10. Ruchika Malhotra

Papers from C. Mues's perspective

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

  1. The Nature of Statistical Learning Theory
  2. Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
  3. C4.5: Programs for Machine Learning
  4. Neural Networks for Pattern Recognition
  5. Statistical Comparisons of Classifiers over Multiple Data Sets
  6. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  7. The use of the area under the ROC curve in the evaluation of machine learning algorithms
  8. Robust Classification for Imprecise Environments
  9. Monotonicity maintenance in information-theoretic machine learning algorithms
  10. Multi-Interval Discretization of Continuous-Valued Attributes for Classification Learning

Their papers