Nicholas J. Wareham

According to our database, Nicholas J. Wareham authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

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, Nicholas J. Wareham, Søren Brage, Roberto Cipolla

npj Digit. Medicine, 2024

2023

UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction.

Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo

Proceedings of the Machine Learning for Healthcare Conference, 2023

2022

Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments.

Dimitris Spathis, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Yu Wu, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo

npj Digit. Medicine, 2022

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

Yu Wu, 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 free-living wearable sensors.

Dimitris Spathis, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo

CoRR, 2022

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

Self-supervised transfer learning of physiological representations from free-living wearable data.

Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

Learning Generalizable Physiological Representations from Large-scale Wearable Data.

Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo

CoRR, 2020