Amin Sharififar

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Amin Sharififar trusts overall

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

  1. Sabine Grunwald
  2. Lida Abdi
  3. Nitesh V. Chawla
  4. Mikel Galar
  5. Sattar Hashemi
  6. Alberto Fernández
  7. Kevin W. Bowyer

Who trusts Amin Sharififar overall

  1. Alexandre M. J.-C. Wadoux
  2. Budiman Minasny

Papers from Amin Sharififar's perspective

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

  1. SMOTE: Synthetic Minority Over-sampling Technique
  2. A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
  3. To Combat Multi-Class Imbalanced Problems by Means of Over-Sampling Techniques (IEEE Transactions on Knowledge and Data Engineering)
  4. Machine learning for predicting soil classes in three semi-arid landscapes
  5. Multi-criteria characterization of recent digital soil mapping and modeling approaches
  6. Bagging Predictors
  7. Experiments with a New Boosting Algorithm
  8. A study of the behavior of several methods for balancing machine learning training data
  9. Statistical Comparisons of Classifiers over Multiple Data Sets
  10. Multiclass Imbalance Problems: Analysis and Potential Solutions (IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics))

Their papers