Generalizable machine learning for stress monitoring from wearable devices: A systematic literature review G Vos, K Trinh, Z Sarnyai, MR Azghadi International Journal of Medical Informatics 173, 105026, 2023 | 67 | 2023 |
Rats and the city: Implications of urbanization on zoonotic disease risk in Southeast Asia KR Blasdell, S Morand, SGW Laurance, SL Doggett, A Hahs, K Trinh, ... Proceedings of the National Academy of Sciences 119 (39), e2112341119, 2022 | 55 | 2022 |
Returns, volatility and the cryptocurrency bubble of 2017–18 JL Cross, C Hou, K Trinh Economic Modelling 104, 105643, 2021 | 46 | 2021 |
Ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices G Vos, K Trinh, Z Sarnyai, MR Azghadi Journal of Biomedical Informatics 148, 104556, 2023 | 31 | 2023 |
Blockchain 2030: A look at the future of blockchain in Australia A Bratanova, D Devaraj, J Horton, C Naughtin, B Kloester, K Trinh, ... | 29 | 2019 |
Forecasting emergency department waiting time using a state space representation K Trinh, A Staib, A Pak Statistics in Medicine, 1-26, 2023 | 1 | 2023 |
Macroeconomic real‐time forecasts of univariate models with flexible error structures K Trinh, B Zhang, C Hou Journal of Forecasting 44 (1), 59-78, 2025 | | 2025 |
Not All Frailty Assessments Are Created Equal: Comparability of Electronic Health Data-Based Frailty Assessments in Assessing Older People in Residential Care J Kong, K Trinh, K Hammill, C Chia-Ming Chen Biological Research For Nursing 26 (4), 526-536, 2024 | | 2024 |