Yailé Caballero Mota

Artificial Intelligence · 2012–2015

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yailé Caballero Mota trusts overall

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

  1. Salvador Garcia
  2. Jaka Demsar
  3. Johannes Fürnkranz
  4. Gary M. Weiss
  5. Alberto Fernández
  6. Jin Huang
  7. Francisco Herrera
  8. Nitesh V. Chawla
  9. J. Ross Quinlan
  10. Chumphol Bunkhumpornpat

Who trusts Yailé Caballero Mota overall

  1. Paula Branco
  2. Haoyue Liu
  3. Octavio Loyola-González

Papers from Yailé Caballero Mota's perspective

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

  1. The use of the area under the ROC curve in the evaluation of machine learning algorithms
  2. SMOTE: Synthetic Minority Over-sampling Technique
  3. Statistical Comparisons of Classifiers over Multiple Data Sets
  4. Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction (Journal of Artificial Intelligence Research)
  5. Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
  6. C4.5: Programs for Machine Learning
  7. 10 Challenging Problems in Data Mining Research (International Journal of Information Technology and Decision Making)
  8. An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons
  9. KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework
  10. Using AUC and accuracy in evaluating learning algorithms (IEEE Transactions on Knowledge and Data Engineering)

Their papers