| The future of sleep health: a data-driven revolution in sleep science and medicine I Perez-Pozuelo, B Zhai, J Palotti, R Mall, M Aupetit, JM Garcia-Gomez, ... NPJ digital medicine 3 (1), 42, 2020 | 255 | 2020 |
| SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data CI Tang, I Perez-Pozuelo, D Spathis, S Brage, N Wareham, C Mascolo Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2021 | 149 | 2021 |
| Exploring Contrastive Learning in Human Activity Recognition for Healthcare CI Tang, I Perez-Pozuelo, D Spathis, C Mascolo Machine Learning for Mobile Health workshop (ML4MH @ NeurIPS 2020), 2020 | 147 | 2020 |
| Making sense of sleep: Multimodal sleep stage classification in a large, diverse population using movement and cardiac sensing B Zhai, I Perez-Pozuelo, EAD Clifton, J Palotti, Y Guan Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2020 | 83 | 2020 |
| Past, present, and future of multisensory wearable technology to monitor sleep and circadian rhythms MR Lujan, I Perez-Pozuelo, MA Grandner Frontiers in Digital Health 3, 721919, 2021 | 78 | 2021 |
| Wearables, smartphones, and artificial intelligence for digital phenotyping and health I Perez-Pozuelo, D Spathis, EAD Clifton, C Mascolo Digital health, 33-54, 2021 | 58 | 2021 |
| Self-supervised transfer learning of physiological representations from free-living wearable data D Spathis, I Perez-Pozuelo, S Brage, NJ Wareham, C Mascolo Proceedings of the Conference on Health, Inference, and Learning, 69-78, 2021 | 44 | 2021 |
| Breaking away from labels: The promise of self-supervised machine learning in intelligent health D Spathis, I Perez-Pozuelo, L Marques-Fernandez, C Mascolo Patterns 3 (2), 2022 | 36 | 2022 |
| Detecting sleep outside the clinic using wearable heart rate devices I Perez-Pozuelo, M Posa, D Spathis, K Westgate, N Wareham, C Mascolo, ... Scientific Reports 12 (1), 7956, 2022 | 25 | 2022 |
| Digital phenotyping and sensitive health data: Implications for data governance I Perez-Pozuelo, D Spathis, J Gifford-Moore, J Morley, J Cowls Journal of the American Medical Informatics Association 28 (9), 2002-2008, 2021 | 17 | 2021 |
| Resting heart rate as a biomarker for tracking change in cardiorespiratory fitness of UK adults: The Fenland Study TI Gonzales, JY Jeon, T Lindsay, K Westgate, I Perez-Pozuelo, S Hollidge, ... MedRxiv, 2020.07. 01.20144154, 2020 | 17 | 2020 |
| Resting heart rate is a population-level biomarker of cardiorespiratory fitness: The Fenland Study TI Gonzales, JY Jeon, T Lindsay, K Westgate, I Perez-Pozuelo, S Hollidge, ... Plos one 18 (5), e0285272, 2023 | 15 | 2023 |
| Exploring contrastive learning in human activity recognition for healthcare. arXiv 2020 CI Tang, I Perez-Pozuelo, D Spathis, C Mascolo arXiv preprint arXiv:2011.11542, 0 | 11 | |
| Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments D Spathis, I Perez-Pozuelo, TI Gonzales, Y Wu, S Brage, N Wareham, ... Nature Digital Medicine (npj Dig. Med.) 5 (1), 1-11, 2022 | 10 | 2022 |
| Learning Generalizable Physiological Representations from Large-scale Wearable Data D Spathis, I Perez-Pozuelo, S Brage, NJ Wareham, C Mascolo Machine Learning for Mobile Health workshop (ML4MH @ NeurIPS 2020), 2020 | 8 | 2020 |
| Diurnal profiles of physical activity and postures derived from wrist-worn accelerometry in UK adults I Perez-Pozuelo, T White, K Westgate, K Wijndaele, NJ Wareham, ... Journal for the Measurement of Physical Behaviour 3 (1), 39-49, 2020 | 7 | 2020 |
| The future of sleep health: a data-driven revolution in sleep science and medicine. NPJ Digit Med. 2020; 3: 42 I Perez-Pozuelo, B Zhai, J Palotti, R Mall, M Aupetit, JM Garcia-Gomez, ... Published 2020 Mar 23. doi: 10.1038/s41746-020-0244 4, 2020 | 7 | 2020 |
| Udama: Unsupervised domain adaptation through multi-discriminator adversarial training with noisy labels improves cardio-fitness prediction Y Wu, D Spathis, H Jia, I Perez-Pozuelo, TI Gonzales, S Brage, ... Machine Learning for Healthcare Conference, 863-883, 2023 | 6 | 2023 |
| Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction Y Wu, D Spathis, H Jia, I Perez-Pozuelo, TI Gonzales, S Brage, ... NeurIPS Machine Learning for Health (ML4H 2022), 2022 | 2 | 2022 |
| Predicting several sleep quality metrics based on same day physical activity J Palotti, I Perez-Pozuelo, A Al Homaid, R Mall, M Posa, H Berlin, D Jin, ... ICLR-AI4PH 2021, 2021 | 2 | 2021 |
Dimitris SpathisGoogle and University of CambridgeVerificeret mail på cl.cam.ac.uk