Christos K. Aridas

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Christos K. Aridas trusts overall

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

  1. Luís Torgo
  2. Max Kuhn
  3. Haibo He

Who trusts Christos K. Aridas overall

  1. Tuong Le
  2. Fabio Tanaka

Papers from Christos K. Aridas's perspective

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

  1. SMOTE: Synthetic Minority Over-sampling Technique
  2. Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
  3. ADASYN: Adaptive synthetic sampling approach for imbalanced learning (IEEE World Congress on Computational Intelligence)
  4. Learning from Imbalanced Data
  5. The Condensed Nearest Neighbor Rule
  6. Improving Identification of Difficult Small Classes by Balancing Class Distribution (Conference on Artificial Intelligence in Medicine in Europe)
  7. on Knowledge and Data Engineering,
  8. Scikit-learn: Machine Learning in Python
  9. 10 Challenging Problems in Data Mining Research (International Journal of Information Technology and Decision Making)
  10. The SHOGUN Machine Learning Toolbox

Their papers