Smartphone cameras enable continuous, equipment-free heart rate monitoring, yet the photoplethysmography (PPG) signals they capture are susceptible to movement, contact instability, and environmental variation that differ sharply from controlled validation settings. This study evaluated heart rate estimation from smart...
I. Azizah, Fatma Indriani, D. Nugrahadi et al.· 2026 International Conferenc...· 0 citations
This study adapts TabKANet to the all-numerical, highly imbalanced SDP setting and empirically evaluates it against established baselines, using a structured ablation in order to isolate the contribution of oversampling and feature selection rather than to propose a new architecture.
Setyo Wahyu Saputro, M. Faza, Azhiman Saputra Setyo et al.· 0 citations
It is demonstrated that semantic representations and controlled lexical variation can jointly enhance minority-class recognition in short informal Indonesian text and highlight the importance of aligning embedding strategies with sequence architectures.
Muhammad Fattah Edric Camilo, Fatma Indriani, M. Faisal et al.· Jurnal Informatika· 0 citations
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.· Indonesian Journal of Electr...· 0 citations
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