Ignacio Perez-Pozuelo

17 papers Journal 15Unranked 2

Year	Rank	Type	Title / 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