Adrian Atienza

According to our database, Adrian Atienza authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, March, 2025

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

Adrian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

An Efficient and Flexible Deep Learning Method for Signal Delineation via Keypoints Estimation.

Adrian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady

CoRR, 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

Contrastive Learning Is Not Optimal for Quasiperiodic Time Series.

Adrian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

Learning Beyond Similarities: Incorporating Dissimilarities between Positive Pairs in Self-Supervised Time Series Learning.

Adrian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady

CoRR, 2023

Subject-based Non-contrastive Self-Supervised Learning for ECG Signal Processing.

Adrian Atienza, Jakob E. Bardram, Sadasivan Puthusserypady

CoRR, 2023