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

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)

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)

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)

Prediction of total and regional body composition from 3D body shape. - Chexuan Qiao; Emanuella De Lucia Rolfe; Ethan Mak; Akash Sengupta; Richard Powell; Laura P. E. Watson; Steven B. Heymsfield; John A. Shepherd 002; Nicholas J. Wareham; Søren Brage; Roberto Cipolla (npj Digit. Medicine, 2024)