Ignacio Perez-Pozuelo

Orcid: 0000-0003-1150-2754

According to our database1, Ignacio Perez-Pozuelo authored at least 14 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction.
Proceedings of the Machine Learning for Healthcare Conference, 2023

2022
Breaking away from labels: The promise of self-supervised machine learning in intelligent health.
Patterns, 2022

Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments.
npj Digit. Medicine, 2022

Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction.
CoRR, 2022

Longitudinal cardio-respiratory fitness prediction through free-living wearable sensors.
CoRR, 2022

2021
Erratum to: Digital phenotyping and sensitive health data: Implications for data governance.
J. Am. Medical Informatics Assoc., 2021

Digital phenotyping and sensitive health data: Implications for data governance.
J. Am. Medical Informatics Assoc., 2021

SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Past, Present, and Future of Multisensory Wearable Technology to Monitor Sleep and Circadian Rhythms.
Frontiers Digit. Health, 2021

Self-supervised transfer learning of physiological representations from free-living wearable data.
Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020
The future of sleep health: a data-driven revolution in sleep science and medicine.
npj Digit. Medicine, 2020

Making Sense of Sleep: Multimodal Sleep Stage Classification in a Large, Diverse Population Using Movement and Cardiac Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Exploring Contrastive Learning in Human Activity Recognition for Healthcare.
CoRR, 2020

Learning Generalizable Physiological Representations from Large-scale Wearable Data.
CoRR, 2020


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