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Muhammad Faza Azhiman Saputra

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Open access Aug 2026

Comparative Evaluation of TabKANet with Oversampling and Feature Selection Ablation for Software Defect Prediction

TabKANet is a competitive architecture for all-numerical, highly imbalanced SDP, matching strong neural baselines and surpassing TabNet, where effective class weighting alone suffices and SMOTE is counter-productive.

Muhammad Faza Azhiman Saputra, Setyo Wahyu Saputro, M. Faisal et al. · 0 citations

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