| Parametric generation of conditional geological realizations using generative neural networks S Chan, AH Elsheikh Computational Geosciences 23 (5), 925-952, 2019 | 206* | 2019 |
| A machine learning approach for efficient uncertainty quantification using multiscale methods S Chan, AH Elsheikh Journal of Computational Physics 354, 493-511, 2018 | 89 | 2018 |
| Parametrization and generation of geological models with generative adversarial networks S Chan, AH Elsheikh arXiv preprint arXiv:1708.01810, 2017 | 88 | 2017 |
| 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 | 57 | 2022 |
| Parametrization of stochastic inputs using generative adversarial networks with application in geology S Chan, AH Elsheikh Frontiers in Water 2, 5, 2020 | 41 | 2020 |
| 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 | 24 | 2021 |
| 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 | 23 | 2024 |
| 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 | 10 | 2020 |
| 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 | 5 | 2023 |
| 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 | 4 | 2020 |
| Exemplar-based synthesis of geology using kernel discrepancies and generative neural networks S Chan, AH Elsheikh arXiv preprint arXiv:1809.07748, 2018 | 3 | 2018 |
| 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 | 2 | 2023 |
| 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 |
| 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 | | 2023 |
| 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 | | |
| Capture-24: Activity recognition on a large activity tracker dataset collected in the wild S Chan, H Yuan, C Tong, R Walmsley, A Doherty | | |
