Learning Generalizable Physiological Representations from Large-scale Wearable Data. - Dimitris Spathis; Ignacio Perez-Pozuelo; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (CoRR, 2020)

Exploring Contrastive Learning in Human Activity Recognition for Healthcare. - Chi Ian Tang; Ignacio Perez-Pozuelo; Dimitris Spathis; Cecilia Mascolo (CoRR, 2020)

Making Sense of Sleep: Multimodal Sleep Stage Classification in a Large, Diverse Population Using Movement and Cardiac Sensing. - Bing Zhai; Ignacio Perez-Pozuelo; Emma A. D. Clifton; João R. M. Palotti; Yu Guan 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

The future of sleep health: a data-driven revolution in sleep science and medicine. - Ignacio Perez-Pozuelo; Bing Zhai; João R. M. Palotti; Raghvendra Mall; Michaël Aupetit 001; Juan Miguel García-Gómez; Shahrad Taheri; Yu Guan 001; Luis Fernández-Luque (npj Digit. Medicine, 2020)

Self-supervised transfer learning of physiological representations from free-living wearable data. - Dimitris Spathis; Ignacio Perez-Pozuelo; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (CHIL, 2021)

Past, Present, and Future of Multisensory Wearable Technology to Monitor Sleep and Circadian Rhythms. - Matthew R. Lujan; Ignacio Perez-Pozuelo; Michael A. Grandner (Frontiers Digit. Health, 2021)

SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data. - Chi Ian Tang; Ignacio Perez-Pozuelo; Dimitris Spathis; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Digital phenotyping and sensitive health data: Implications for data governance. - Ignacio Perez-Pozuelo; Dimitris Spathis; Jordan Gifford-Moore; Jessica Morley; Josh Cowls (J. Am. Medical Informatics Assoc., 2021)

Erratum to: Digital phenotyping and sensitive health data: Implications for data governance. - Ignacio Perez-Pozuelo; Dimitris Spathis; Jordan Gifford-Moore; Jessica Morley; Josh Cowls (J. Am. Medical Informatics Assoc., 2021)

Longitudinal cardio-respiratory fitness prediction through free-living wearable sensors. - Dimitris Spathis; Ignacio Perez-Pozuelo; Tomas I. Gonzales; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (CoRR, 2022)

Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction. - Yu Wu 021; Dimitris Spathis; Hong Jia; Ignacio Perez-Pozuelo; Tomas I. Gonzales; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (CoRR, 2022)

Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments. - Dimitris Spathis; Ignacio Perez-Pozuelo; Tomas I. Gonzales; Yu Wu 021; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (npj Digit. Medicine, 2022)

Breaking away from labels: The promise of self-supervised machine learning in intelligent health. - Dimitris Spathis; Ignacio Perez-Pozuelo; Laia Marques-Fernandez; Cecilia Mascolo (Patterns, 2022)

UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction. - Yu Wu 021; Dimitris Spathis; Hong Jia; Ignacio Perez-Pozuelo; Tomas I. Gonzales; Søren Brage; Nicholas J. Wareham; Cecilia Mascolo (MLHC, 2023)