Sara Fotouhi

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sara Fotouhi trusts overall

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

  1. Haibo He
  2. Jesús Alcalá-Fdez
  3. Rushi Longadge
  4. Gustavo E. A. P. A. Batista
  5. Hui Han
  6. Alberto Fernández
  7. Nitesh V. Chawla
  8. Mikel Galar
  9. Edwardo A. Garcia
  10. Snehalata Dongre

Who trusts Sara Fotouhi overall

  1. Matloob Khushi

Papers from Sara Fotouhi's perspective

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

  1. SMOTE: Synthetic Minority Over-sampling Technique
  2. A study of the behavior of several methods for balancing machine learning training data
  3. Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
  4. ADASYN: Adaptive synthetic sampling approach for imbalanced learning (IEEE World Congress on Computational Intelligence)
  5. KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework
  6. KEEL: a software tool to assess evolutionary algorithms for data mining problems (Soft Computing - A Fusion of Foundations, Methodologies and Applications)
  7. Improving Identification of Difficult Small Classes by Balancing Class Distribution (Conference on Artificial Intelligence in Medicine in Europe)
  8. A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
  9. Classification of Imbalanced Data: a Review (International journal of pattern recognition and artificial intelligence)
  10. MetaCost: a general method for making classifiers cost-sensitive

Their papers