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Haraldur Tómas Hallgrímsson
Haraldur Tómas Hallgrímsson
Applied Research Scientist, Apple
Подтвержден адрес электронной почты в домене apple.com
Название
Процитировано
Процитировано
Год
The spread of physical activity through social networks
D Stück, HT Hallgrímsson, G Ver Steeg, A Epasto, L Foschini
Proceedings of the 26th International Conference on World Wide Web, 519-528, 2017
192017
Dynamic Behavioral Phenotyping for Predicting Health Outcomes
L Foschini, T Quisel, C Lemke, A Pourzanjani, HT Hallgrimsson, J Juusola, ...
US Patent App. 16/953,256, 2021
82021
Method, apparatus, and system for measuring respiratory effort
S Hoskuldsson, HT Hallgrimsson, GT Sigurdarson
US Patent 10,588,550, 2020
82020
Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data
HT Hallgrímsson, F Jankovic, T Althoff, L Foschini
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018, 2018
82018
Towards time series reasoning with llms
W Chow, L Gardiner, HT Hallgrímsson, MA Xu, SY Ren
arXiv preprint arXiv:2409.11376, 2024
62024
Spatial coherence of oriented white matter microstructure: Applications to white matter regions associated with genetic similarity
HT Hallgrímsson, M Cieslak, L Foschini, ST Grafton, AK Singh
NeuroImage 172, 390-403, 2018
52018
RelCon: Relative Contrastive Learning for a Motion Foundation Model for Wearable Data
MA Xu, J Narain, G Darnell, H Hallgrimsson, H Jeong, D Forde, ...
arXiv preprint arXiv:2411.18822, 2024
22024
Estimating localized complexity of white-matter wiring with GANs
HT Hallgrimsson, R Sharan, ST Grafton, AK Singh
Medical Imaging meets NeurIPS (MED-NeurIPS) 2019, 2019
12019
Method, apparatus, and system for measuring respiratory effort
S Hoskuldsson, HT Hallgrimsson, GT Sigurdarson
US Patent App. 16/818,533, 2020
2020
Towards Interpretable Models of Health
HT Hallgrimsson
University of California, Santa Barbara, 2020
2020
Leveraging Periodicity for Robustness with Multi-modal Mood Pattern Models
J Narain, QJ Sun, O Elachqar, HT Hallgrimsson, F Zhu, SY Ren
NeurIPS Workshop on Time Series in the Age of Large Models, 0
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