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2020 – today
- 2023
[c2]Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction. MLHC 2023: 863-883- [i7]Yu Wu, Dimitris Spathis, Hong Jia
, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
UDAMA: Unsupervised Domain Adaptation through Multi-discriminator Adversarial Training with Noisy Labels Improves Cardio-fitness Prediction. CoRR abs/2307.16651 (2023) - 2022
- [j8]Dimitris Spathis, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Yu Wu, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Longitudinal cardio-respiratory fitness prediction through wearables in free-living environments. npj Digit. Medicine 5 (2022) - [j7]Dimitris Spathis, Ignacio Perez-Pozuelo, Laia Marques-Fernandez, Cecilia Mascolo:
Breaking away from labels: The promise of self-supervised machine learning in intelligent health. Patterns 3(2): 100410 (2022) - [i6]Dimitris Spathis, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Longitudinal cardio-respiratory fitness prediction through free-living wearable sensors. CoRR abs/2205.03116 (2022) - [i5]Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I. Gonzales, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Turning Silver into Gold: Domain Adaptation with Noisy Labels for Wearable Cardio-Respiratory Fitness Prediction. CoRR abs/2211.10475 (2022) - 2021
- [j6]Matthew R. Lujan, Ignacio Perez-Pozuelo, Michael A. Grandner:
Past, Present, and Future of Multisensory Wearable Technology to Monitor Sleep and Circadian Rhythms. Frontiers Digit. Health 3: 721919 (2021) - [j5]Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(1): 36:1-36:30 (2021) - [j4]Ignacio Perez-Pozuelo, Dimitris Spathis, Jordan Gifford-Moore, Jessica Morley, Josh Cowls:
Digital phenotyping and sensitive health data: Implications for data governance. J. Am. Medical Informatics Assoc. 28(9): 2002-2008 (2021) - [j3]Ignacio Perez-Pozuelo, Dimitris Spathis, Jordan Gifford-Moore, Jessica Morley, Josh Cowls:
Erratum to: Digital phenotyping and sensitive health data: Implications for data governance. J. Am. Medical Informatics Assoc. 28(12): 2749 (2021) - [c1]Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Self-supervised transfer learning of physiological representations from free-living wearable data. CHIL 2021: 69-78 - [i4]Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data. CoRR abs/2102.06073 (2021) - 2020
- [j2]Bing Zhai, Ignacio Perez-Pozuelo, Emma A. D. Clifton, João R. M. Palotti, Yu Guan:
Making Sense of Sleep: Multimodal Sleep Stage Classification in a Large, Diverse Population Using Movement and Cardiac Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(2): 67:1-67:33 (2020) - [j1]Ignacio Perez-Pozuelo, Bing Zhai, João R. M. Palotti, Raghvendra Mall, Michaël Aupetit, Juan M. Garcia-Gomez, Shahrad Taheri, Yu Guan, Luis Fernández-Luque:
The future of sleep health: a data-driven revolution in sleep science and medicine. npj Digit. Medicine 3 (2020) - [i3]Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Learning Generalizable Physiological Representations from Large-scale Wearable Data. CoRR abs/2011.04601 (2020) - [i2]Chi Ian Tang, Ignacio Perez-Pozuelo, Dimitris Spathis, Cecilia Mascolo:
Exploring Contrastive Learning in Human Activity Recognition for Healthcare. CoRR abs/2011.11542 (2020) - [i1]Dimitris Spathis, Ignacio Perez-Pozuelo, Søren Brage, Nicholas J. Wareham, Cecilia Mascolo:
Self-supervised transfer learning of physiological representations from free-living wearable data. CoRR abs/2011.12121 (2020)
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