| 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 | 118 | 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 | 48 | 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 | 46 | 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 | 38 | 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 | 27 | 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 | 20 | 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 | 14 | 2020 |
| 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 | 13 | 2021 |
| 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), 1-13, 2022 | 7 | 2022 |
| 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), 100410, 2022 | 7 | 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 | 7 | 2021 |
| 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 | 6 | 2020 |
| 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 | 5 | 2020 |
| The future of sleep health: a data-driven revolution in sleep science and medicine. npj Digit Med 2020 I Perez-Pozuelo, B Zhai, J Palotti | 5 | |
| 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 |
| 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 | | 2022 |
| 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 | | 2022 |
| Longitudinal cardio-respiratory fitness prediction through free-living wearable sensors D Spathis, I Perez-Pozuelo, TI Gonzales, S Brage, N Wareham, ... arXiv preprint arXiv:2205.03116, 2022 | | 2022 |
| Erratum to: 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: JAMIA 28 (12), 2749, 2021 | | 2021 |
| Digital phenotyping through multimodal, unobtrusive sensing I Perez Pozuelo University of Cambridge, 2021 | | 2021 |
Dimitris SpathisNokia Bell Labs and University of CambridgeVerified email at cl.cam.ac.uk
