| Characterizing early Canadian federal, provincial, territorial and municipal nonpharmaceutical interventions in response to COVID-19: a descriptive analysis LG McCoy, J Smith, K Anchuri, I Berry, J Pineda, V Harish, AT Lam, SE Yi, ... Canadian Medical Association Open Access Journal 8 (3), E545-E553, 2020 | 60 | 2020 |
| A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series T Hollis, A Viscardi, SE Yi arXiv preprint arXiv:1812.07699, 2018 | 39 | 2018 |
| Predicting hospitalisations related to ambulatory care sensitive conditions with machine learning for population health planning: derivation and validation cohort study SE Yi, V Harish, J Gutierrez, M Ravaut, K Kornas, T Watson, T Poutanen, ... BMJ open 12 (4), e051403, 2022 | 10 | 2022 |
| DuETT: dual event time transformer for electronic health records A Labach, A Pokhrel, XS Huang, S Zuberi, SE Yi, M Volkovs, T Poutanen, ... Machine Learning for Healthcare Conference, 403-422, 2023 | 8 | 2023 |
| Fair and robust treatment effect estimates: estimation under treatment and outcome disparity with deep neural models S Yi, S Wang, S Joshi, M Ghassemi NeurIPS 2019 workshop: Fair ML for Health, 2019 | 5 | 2019 |
| CAN-NPI: a curated open dataset of Canadian non-pharmaceutical interventions in response to the global COVID-19 pandemic LG McCoy, J Smith, K Anchuri, I Berry, J Pineda, V Harish, AT Lam, SE Yi, ... medRxiv, 2020.04. 17.20068460, 2020 | 4 | 2020 |
| Confounding feature acquisition for causal effect estimation S Wang, SE Yi, S Joshi, M Ghassemi Machine Learning for Health, 379-396, 2020 | 3 | 2020 |
| Non-pharmaceutical intervention discovery with topic modeling J Smith, B Ghotbi, S Yi, M Parsapoor arXiv preprint arXiv:2009.13602, 2020 | 1 | 2020 |
| Developing Machine Learning Algorithms on Routinely Collected Administrative Health Data-Lessons from Ontario, Canada. V Harish, M Ravaut, SE Yi, J Gutierrez, H Sadeghi, KK Leung, T Watson, ... International Journal of Population Data Science 7 (3), 2022 | | 2022 |
| Effective Self-Supervised Transformers For Sparse Time Series Data A Labach, A Pokhrel, SE Yi, S Zuberi, M Volkovs, RG Krishnan | | |