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Keywords: Imbalanced data
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Journal Articles
Fuzzy twin SVM based on Hilbert–Schmidt independence criterion and information entropy for imbalanced learning
Available to Purchase
International Journal of Intelligent Computing and Cybernetics (2025) 18 (3): 465–486.
Published: 21 May 2025
... is a centering matrix, where I ∈ Rn×n is the identity matrix. For convenience, we denote H S I C = F , G , S by H S I C K , L . Imbalanced data Fuzzy SVM Fuzzy membership Classification In recent years, the issue...
Journal Articles
FG-SMOTE: Fuzzy-based Gaussian synthetic minority oversampling with deep belief networks classifier for skewed class distribution
Available to Purchase
International Journal of Intelligent Computing and Cybernetics (2021) 14 (2): 270–287.
Published: 15 March 2021
... of classes within a dataset. This issue is known as the imbalance problem, which is one of the most common issues occurring in real-time applications. Learning of imbalanced datasets is a ubiquitous challenge in the field of data mining. Imbalanced data degrades the performance of the classifier by producing...
