Subject-based Non-contrastive Self-Supervised Learning for ECG Signal Processing. - Adrian Atienza; Jakob E. Bardram; Sadasivan Puthusserypady (CoRR, 2023)

Learning Beyond Similarities: Incorporating Dissimilarities between Positive Pairs in Self-Supervised Time Series Learning. - Adrian Atienza; Jakob E. Bardram; Sadasivan Puthusserypady (CoRR, 2023)

Contrastive Learning Is Not Optimal for Quasiperiodic Time Series. - Adrian Atienza; Jakob E. Bardram; Sadasivan Puthusserypady (IJCAI, 2024)

NERULA: A Dual-Pathway Self-Supervised Learning Framework for Electrocardiogram Signal Analysis. - Gouthamaan Manimaran; Sadasivan Puthusserypady; Helena Dominguez; Adrian Atienza; Jakob E. Bardram (CoRR, 2024)

An Efficient and Flexible Deep Learning Method for Signal Delineation via Keypoints Estimation. - Adrian Atienza; Jakob E. Bardram; Sadasivan Puthusserypady (CoRR, 2024)

Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA. - Adrian Atienza; Jakob E. Bardram; Sadasivan Puthusserypady (AAAI, 2025)

Leveraging Self-Supervised Learning Methods for Remote Screening of Subjects with Paroxysmal Atrial Fibrillation. - Adrian Atienza; Gouthamaan Manimaran; Sadasivan Puthusserypady; Helena Dominguez; Peter K. Jacobsen; Jakob E. Bardram (CoRR, 2025)