Universiteit Leiden

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Learning class-imbalanced problems from the perspective of data intrinsic characteristics

The class-imbalance problem is a challenging classification task and is frequently encountered in real-world applications. Various techniques have been developed to improve the imbalanced classification performance theoretically and practically.

J. Kong
27 september 2023
Thesis in Leiden Repository

Apart from developing new approaches, researchers also address the importance of understanding the data itself, which will provide more insight into what actually hinders the imbalanced classification performance. This thesis mainly conducts the research on Learning Class-Imbalanced Problems from the Perspective of Data Intrinsic Characteristics.

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