Ablation Driven CNN-BiLSTM-Attention Network With SHAP for ECG Arrhythmia Classification
BECITHCON 2026 · Paper ID 530
An explainable deep learning study for ECG arrhythmia classification, combining a CNN-BiLSTM-Attention network with SHAP explanations, ablation analysis, and comparisons against five baseline models.
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