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  2. Imbalanced K-Means: An algorithm to cluster imbalanced-distributed data
  3. Adaptive Classification of Imbalanced Data using ANN with Particle of Swarm Optimization
  4. Two Stage Comparison of Classifier Performances for Highly Imbalanced Datasets
  5. Comparative Result of Building Decision Tree for Imbalanced Datasets
  6. Evaluation of Support Vector Machines SVM for Classification with Imbalanced Datasets
  7. Cost-Sensitive Learning from Imbalanced Datasets for Retail Credit Risk Assessment
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  9. Analysis of Credit Card Fraud detection using Machine Learning models on balanced and imbalanced datasets
  10. A BOOTSTRAP APPROACH FOR IMPROVING LOGISTIC REGRESSION PERFORMANCE IN IMBALANCED DATA SETS