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Shing Chan
Shing Chan
Verified email at ndph.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Parametric generation of conditional geological realizations using generative neural networks
S Chan, AH Elsheikh
Computational Geosciences 23 (5), 925-952, 2019
213*2019
A machine learning approach for efficient uncertainty quantification using multiscale methods
S Chan, AH Elsheikh
Journal of Computational Physics 354, 493-511, 2018
922018
Parametrization and generation of geological models with generative adversarial networks
S Chan, AH Elsheikh
arXiv preprint arXiv:1708.01810, 2017
912017
Reallocation of time between device-measured movement behaviours and risk of incident cardiovascular disease
R Walmsley, S Chan, K Smith-Byrne, R Ramakrishnan, M Woodward, ...
British journal of sports medicine 56 (18), 1008-1017, 2022
672022
Parametrization of stochastic inputs using generative adversarial networks with application in geology
S Chan, AH Elsheikh
Frontiers in Water 2, 5, 2020
422020
Self-supervised learning for human activity recognition using 700,000 person-days of wearable data
H Yuan, S Chan, AP Creagh, C Tong, A Acquah, DA Clifton, A Doherty
NPJ digital medicine 7 (1), 91, 2024
282024
Impact of reduced sampling rate on accelerometer-based physical activity monitoring and machine learning activity classification
S Small, S Khalid, P Dhiman, S Chan, D Jackson, A Doherty, A Price
Journal for the Measurement of Physical Behaviour 4 (4), 298-310, 2021
272021
Development and validation of a machine learning wrist-worn step detection algorithm with deployment in the UK biobank
SR Small, S Chan, R Walmsley, L von Fritsch, A Acquah, G Mertes, ...
MedRxiv, 2023
102023
Reallocating time from device-measured sleep, sedentary behaviour or light physical activity to moderate-to-vigorous physical activity is associated with lower cardiovascular …
R Walmsley, S Chan, K Smith-Byrne, R Ramakrishnan, M Woodward, ...
MedRxiv, 2020.11. 10.20227769, 2020
102020
Data-driven acceleration of multiscale methods for uncertainty quantification: application in transient multiphase flow in porous media
S Chan, AH Elsheikh
GEM-International Journal on Geomathematics 11, 1-19, 2020
42020
Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants
Y Chen, S Chan, D Bennett, X Chen, X Wu, Y Ke, J Lv, D Sun, L Pan, ...
International Journal of Behavioral Nutrition and Physical Activity 20 (1), 138, 2023
32023
Exemplar-based synthesis of geology using kernel discrepancies and generative neural networks
S Chan, AH Elsheikh
arXiv preprint arXiv:1809.07748, 2018
32018
Amount and intensity of physical activity and risk of incident cancer in the UK Biobank
MAH Shreves, SR Small, R Walmsley, S Chan, PF Saint-Maurice, ...
medRxiv, 2023
12023
36 The added value of device measured physical activity to the prediction of incident cardiovascular disease
A Sturge, C Harper, S Chan, S Van Duijvenboden, D Bennett, B Casadei, ...
Heart 110 (Suppl 3), A40-A41, 2024
2024
Self-Supervised Machine Learning to Characterise Step Counts from Wrist-Worn Accelerometers in the UK Biobank.
SR Small, S Chan, R Walmsley, L von Fritsch, A Acquah, G Mertes, ...
Medicine and Science in Sports and Exercise, 2024
2024
CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition
S Chan, H Yuan, C Tong, A Acquah, A Schonfeldt, J Gershuny, A Doherty
arXiv preprint arXiv:2402.19229, 2024
2024
Correction: Device-measured movement behaviours in over 20,000 China Kadoorie Biobank participants
Y Chen, S Chan, D Bennett, X Chen, X Wu, Y Ke, J Lv, D Sun, L Pan, ...
The International Journal of Behavioral Nutrition and Physical Activity 21, 2024
2024
Implementación de código CFD Paralelo para flujo compresible
SC Chan Chang, G Weht, M Montes
III Congreso Argentino de Ingeniería Aeronáutica (CAIA 3)(La Plata 2014), 2014
2014
Aerodinámica compresible inestacionaria
AA Figueroa, G Weht, C Sacco, SC Chan Chang
III Congreso Argentino de Ingeniería Aeronáutica (CAIA 3)(La Plata 2014), 2014
2014
Learning the Arrow of Time for Human Activity Recognition: A Study on 700,000 Person-days of Wearable Data
H Yuan, S Chan, A Doherty
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Articles 1–20