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Learning in presence of class imbalance and class overlapping by using one-class SVM and undersampling technique.

, , and . Connect. Sci., 31 (2): 105-142 (2019)

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Redundancy-driven modified Tomek-link based undersampling: A solution to class imbalance., , and . Pattern Recognit. Lett., (2017)A Hybrid Case Based Reasoning Model for Classification in Internet of Things (IoT) Environment., , and . J. Organ. End User Comput., 30 (4): 104-122 (2018)Hybrid case-based reasoning system by cost-sensitive neural network for classification., , , , , and . Soft Comput., 21 (24): 7579-7596 (2017)A Cost-sensitive weighted Random Forest Technique for Credit Card Fraud Detection., , and . ICCCNT, page 1-6. IEEE, (2019)Correlation-based Oversampling aided Cost Sensitive Ensemble learning technique for Treatment of Class Imbalance., , and . J. Exp. Theor. Artif. Intell., 34 (1): 143-174 (2022)Towards DNA based data security in the cloud computing environment., , , , and . Comput. Commun., (2020)A comparative analysis of Drug-Target Interaction detection approaches using Ensemble of Machine learning models., and . ICBBB, page 21-29. ACM, (2024)A Boosting-Aided Adaptive Cluster-Based Undersampling Approach for Treatment of Class Imbalance Problem., , and . Int. J. Data Warehous. Min., 16 (3): 60-86 (2020)Learning in presence of class imbalance and class overlapping by using one-class SVM and undersampling technique., , and . Connect. Sci., 31 (2): 105-142 (2019)TLUSBoost algorithm: a boosting solution for class imbalance problem., , and . Soft Comput., 23 (21): 10755-10767 (2019)