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A. Farmadi

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Open access Sep 2026

Performance and Training-Time Comparison of Five Pretrained CNN Architectures for South Kalimantan Food Image Classification

Purpose - This study analyzes the classification performance and computational efficiency of five pretrained Convolutional Neural Network (CNN) architectures for identifying South Kalimantan traditional food images as an expanded benchmark. Design/methods/approach - The models were trained on a curated traditional food...

Ahmad Balya Al Erpat, Dwi Kartini, Fatma Indriani et al. · 0 citations
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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