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cs.LG2025
Leveraging Self-Supervised Learning Methods for Remote Screening of Subjects with Paroxysmal Atrial Fibrillation
Adrian Atienza, Gouthamaan Manimaran, Sadasivan Puthusserypady +3
The integration of Artificial Intelligence (AI) into clinical research has great potential to reveal patterns that are difficult for humans to detect, creating impactful connection…
cs.LG2024
Contrastive Learning Is Not Optimal for Quasiperiodic Time Series
Adrian Atienza, Jakob Bardram, Sadasivan Puthusserypady
Despite recent advancements in Self-Supervised Learning (SSL) for time series analysis, a noticeable gap persists between the anticipated achievements and actual performance. While…
cs.LG2023
Learning Beyond Similarities: Incorporating Dissimilarities between Positive Pairs in Self-Supervised Time Series Learning
Adrian Atienza, Jakob Bardram, Sadasivan Puthusserypady
By identifying similarities between successive inputs, Self-Supervised Learning (SSL) methods for time series analysis have demonstrated their effectiveness in encoding the inheren…