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Adrian Atienza

2 accepted papers

2025

Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA

AAAI 2025technical

Wearable sensing devices, such as Holter monitors, will play a crucial role in the future of digital health. Unsupervised learning frameworks such as Self-Supervised Learning (SSL) are essential to map these single-lead electrocardiogram (ECG) signals with their anticipated clinical outcomes. These…

Cited by 0SourcePDFScholar
2024

Contrastive Learning Is Not Optimal for Quasiperiodic Time Series

IJCAI 2024poster

Despite recent advancements in Self-Supervised Learning (SSL) for Time Series analysis, a noticeable gap persists between the anticipated achievements and actual performance. While these methods have demonstrated formidable generalization capabilities with minimal labels in various domains, their ef…

Cited by 2SourcePDFScholar