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cs.LG2024
TADA: Temporal Adversarial Data Augmentation for Time Series Data
Byeong Tak Lee, Joon-myoung Kwon, Yong-Yeon Jo
Domain generalization aim to train models to effectively perform on samples that are unseen and outside of the distribution. Adversarial data augmentation (ADA) is a widely used te…
cs.LG2024
CREMA: A Contrastive Regularized Masked Autoencoder for Robust ECG Diagnostics across Clinical Domains
Junho Song, Jong-Hwan Jang, DongGyun Hong +2
Electrocardiogram (ECG) diagnosis remains challenging due to limited labeled data and the need to capture subtle yet clinically meaningful variations in rhythm and morphology. We p…