Ignacio Perez-Pozuelo

17 papers Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2023 — conf
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction.
MLHC
Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2023 J jnl
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction.
CoRR
Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2022 J jnl
Breaking away from labels: The promise of self-supervised machine learning in intelligent health.
Patterns
Dimitris Spathis, Ignacio Perez-Pozuelo, Laia Marques-Fernandez, Cecilia Mascolo
2022 J jnl
Longitudinal cardio-respiratory fitness prediction through free-living wearable sensors.
CoRR
Dimitris Spathis, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2022 J jnl
Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments.
npj Digit. Medicine
Dimitris Spathis, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Yu Wu, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2022 J jnl
Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction.
CoRR
Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2021 J jnl
Digital phenotyping and sensitive health data: Implications for data governance.
J. Am. Medical Informatics Assoc.
Ignacio Perez-Pozuelo, Dimitris Spathis, Jordan Gifford-Moore, Jessica Morley, Josh Cowls
2021 J jnl
Erratum to: Digital phenotyping and sensitive health data: Implications for data governance.
J. Am. Medical Informatics Assoc.
Ignacio Perez-Pozuelo, Dimitris Spathis, Jordan Gifford-Moore, Jessica Morley, Josh Cowls
2021 J jnl
Past, Present, and Future of Multisensory Wearable Technology to Monitor Sleep and Circadian Rhythms.
Frontiers Digit. Health
Matthew R. Lujan, Ignacio Perez-Pozuelo, Michael A. Grandner
2021 — conf
Self-supervised transfer learning of physiological representations from free-living wearable data.
CHIL
Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2021 J jnl
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data.
CoRR
Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2021 J jnl
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2020 J jnl
Exploring Contrastive Learning in Human Activity Recognition for Healthcare.
CoRR
Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Cecilia Mascolo
2020 J jnl
Learning Generalizable Physiological Representations from Large-scale Wearable Data.
CoRR
Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2020 J jnl
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.
Bing Zhai, Ignacio Perez-Pozuelo, Emma A. D. Clifton, João R. M. Palotti, Yu Guan
2020 J jnl
Self-supervised transfer learning of physiological representations from free-living wearable data.
CoRR
Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo
2020 J jnl
The future of sleep health: a data-driven revolution in sleep science and medicine.
npj Digit. Medicine
Ignacio Perez-Pozuelo, Bing Zhai, João R. M. Palotti, Raghvendra Mall, Michaël Aupetit, Juan Miguel García-Gómez, Shahrad Taheri, Yu Guan, Luis Fernández-Luque