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INVESTIGATING THE SYNTHETIC MINORITY CLASS OVERSAMPLING TECHNIQUE (SMOTE) ON AN IMBALANCED CARDIOVASCULAR DISEASE (CVD) DATASET

• Authors : Ioannis Dimitris Apostolopoulos

Subjects: Synthetic Minority class Oversampling Technique; SMOTE; Imbalanced medical datasets

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Dual-WGAN Ensemble Model for Alzheimer’s Dataset Augmentation with Minority Class Boosting

• Authors : Ansari, Mohammad Samar; Ilyas, Kulsum; Aslam, Asra ...

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Generative Graph Augmentation for Minority Class in Fraud Detection

• Authors : Meng, Lin; Mostafa, Hesham; Nassar, Marcel ...

• Source: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management ; page 4200-4204

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CTGAN-MOS: Conditional Generative Adversarial Network Based Minority-Class-Augmented Oversampling Scheme for Imbalanced Problems

• Authors : Majeed, Abdul; Hwang, Seong Oun;

• Source: IEEE Access ; volume 11, page 85878-85899 ; ISSN 2169-3536

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Enhancing Network Intrusion Detection Systems through Cost-Sensitive Ensemble Learning with the CS-Forest Approach for Accurate Detection of Minority-Class Attacks

• Authors : Binsawad, Muhammad

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Minority Class Oriented Active Learning for Imbalanced Datasets

• Authors : Aggarwal, Umang; Popescu, Adrian; Hudelot, Celine

• Source: 2020 25th International Conference on Pattern Recognition (ICPR) ; page 9920-9927

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Over-sampling via under-sampling in strongly imbalanced data

• Authors : Rozita Jamili Oskouei; bahram sadeghi bigham

Subjects: Applied computing not elsewhere classified; Artificial intelligence not elsewhere classified; Data mining and knowledge discovery

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Over-sampling via under-sampling in strongly imbalanced data

• Authors : Rozita Jamili Oskouei; bahram sadeghi bigham

Subjects: Applied computing not elsewhere classified; Artificial intelligence not elsewhere classified; Data mining and knowledge discovery

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Over-sampling via under-sampling in strongly imbalanced data

• Authors : Rozita Jamili Oskouei; bahram sadeghi bigham

Subjects: Applied computing not elsewhere classified; Artificial intelligence not elsewhere classified; Data mining and knowledge discovery

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Over-sampling via under-sampling in strongly imbalanced data

• Authors : Rozita Jamili Oskouei; bahram sadeghi bigham

Subjects: Applied computing not elsewhere classified; Artificial intelligence not elsewhere classified; Data mining and knowledge discovery

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