Nicholas J. Wareham

According to our database, Nicholas J. Wareham authored at least 7 papers between 2020 and 2023.

Collaborative distances:

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

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