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AG-SCL not only boosts sensitivity to rare ECG arrhythmias but also preserves specificity, achieving state-of-the-art performance on challenging datasets.
Flow Matching offers a more robust and efficient approach to synthetic sEMG data generation, outperforming GANs and diffusion models in both fidelity and downstream task performance.