Parametric generation of conditional geological realizations using generative neural networks. - Shing Chan; Ahmed H. Elsheikh (CoRR, 2018)

Exemplar-based synthesis of geology using kernel discrepancies and generative neural networks. - Shing Chan; Ahmed H. Elsheikh (CoRR, 2018)

A machine learning approach for efficient uncertainty quantification using multiscale methods. - Shing Chan; Ahmed H. Elsheikh (J. Comput. Phys., 2018)

Parametrization of stochastic inputs using generative adversarial networks with application in geology. - Shing Chan; Ahmed H. Elsheikh (CoRR, 2019)

Self-supervised Learning for Human Activity Recognition Using 700, 000 Person-days of Wearable Data. - Hang Yuan; Shing Chan; Andrew P. Creagh; Catherine Tong; David A. Clifton; Aiden R. Doherty (CoRR, 2022)

CAPTURE-24: A large dataset of wrist-worn activity tracker data collected in the wild for human activity recognition. - Shing Chan; Hang Yuan; Catherine Tong; Aidan Acquah; Abram Schonfeldt; Jonathan Gershuny; Aiden R. Doherty (CoRR, 2024)

Self-supervised learning for human activity recognition using 700,000 person-days of wearable data. - Hang Yuan; Shing Chan; Andrew P. Creagh; Catherine Tong; Aidan Acquah; David A. Clifton; Aiden R. Doherty (npj Digit. Medicine, 2024)