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A novel overlapping minimization SMOTE algorithm for imbalanced classification
Regular Papers | Updated：2024-09-29
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    • A novel overlapping minimization SMOTE algorithm for imbalanced classification

      Enhanced Publication
    • 一种用于不平衡学习分类的新型交叠最小化SMOTE算法
    • “In the field of data science, a new algorithm called overlapping minimization SMOTE (OM-SMOTE) has been introduced to address the challenge of class imbalance in classifier training. Expert Luxuan developed OM-SMOTE, which generates synthetic minority-class sample points to avoid overlapping areas between classes, thereby improving classifier performance. This research opens a new direction for imbalanced classification research.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 25, Issue 9, Pages: 1266-1281(2024)

    • DOI：10.1631/FITEE.2300278    

      CLC： TP301

    • Published：2024-09，

      Published Online：05 September 2024，

      Received：21 April 2023，

      Accepted：2023-09-25

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  • YULIN HE, XUAN LU, PHILIPPE FOURNIER-VIGER, et al. A novel overlapping minimization SMOTE algorithm for imbalanced classification. [J]. Frontiers of information technology & electronic engineering, 2024, 25(9): 1266-1281. DOI： 10.1631/FITEE.2300278.

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