Raúl Monroy

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Raúl Monroy trusts overall

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

  1. Jaka Demsar
  2. Octavio Loyola-González
  3. Leo Breiman
  4. Tom Fawcett
  5. Aiko M. Hormann
  6. Guozhu Dong
  7. Yoav Freund
  8. Milton García-Borroto
  9. Jose Garcia Moreno-Torres
  10. Jin Huang

Who trusts Raúl Monroy overall

  1. Octavio Loyola-González

Papers from Raúl Monroy's perspective

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

  1. Random Forests
  2. Bagging Predictors
  3. Fast Training of Support Vector Machines using Sequential Minimal Optimization
  4. An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons
  5. An introduction to ROC analysis
  6. Study on the Impact of Partition-Induced Dataset Shift on $k$-Fold Cross-Validation (IEEE Transactions on Neural Networks and Learning Systems)
  7. Instance-based learning algorithms
  8. Instance-Based Learning Algorithms
  9. The DET curve in assessment of detection task performance
  10. Fingerprint minutiae matching based on the local and global structures (Proceedings 15th International Conference on Pattern Recognition. ICPR-2000)

Their papers