— Automated skin lesion classification systems face significant challenges in handling severe class imbalance characteristic of clinical dermatological datasets. This study presents a comprehensive comparative analysis of two state-of-the-art convolutional neural network architectures — EfficientNet-B0 and MobileNetV3-...
A. M. Pardede, Juni Ismail· Journal of Image and Graphic...· 0 citations
Empirical evidence is provided that, within the present experimental configuration, a properly optimized weighted loss strategy offers a viable and computationally efficient alternative to synthetic oversampling for BERT-based Twitter sentiment classification.
T. Siallagan, R. Winanjaya, Juni Ismail· JITK (Jurnal Ilmu Pengetahua...· 0 citations
Empirical evidence is shown indicating that composing several imbalance-oriented techniques on a pretrained transformer can yield adverse interactions rather than cumulative gains.
An integrated comparative evaluation that combines six-algorithm benchmarking, leakage-free hyperparameter optimization, and SHAP-based interpretation on a public phishing dataset, offering practical guidance for security analysts is offered.
Juni Ismail, Raja Anan Nasution, Muhammad Nasri Gea· 0 citations
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