Learning temporal attention in dynamic graphs with bilinear interactions B Knyazev, C Augusta, GW Taylor Plos one 16 (3), e0247936, 2021 | 27 | 2021 |
Deep learning for supervised classification of spatial epidemics C Augusta, R Deardon, G Taylor Spatial and spatio-temporal epidemiology 29, 187-198, 2019 | 21 | 2019 |
Student Academic Integrity in Online learning in higher education in the era of COVID-19 RDEH C Augusta COVID-19 and Education: Learning and Teaching in a Pandemic-Constrained …, 2021 | 6 | 2021 |
Dynamic contact networks of swine movement in Manitoba, Canada: Characterization and implications for infectious disease spread C Augusta, GW Taylor, R Deardon Transboundary and emerging diseases 66 (5), 1910-1919, 2019 | 5 | 2019 |
A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer’s disease onset F Hane, C Augusta, O Bai Plos one 13 (7), e0200263, 2018 | 3 | 2018 |
Neonatal Catheter and Tube Placement and Radiographic Assessment Statistics in Relation to Important Anatomic Landmarks RDE Henderson, S Padash, SJ Adams, C Augusta, X Yi, P Babyn American Journal of Perinatology, 2023 | | 2023 |
Infectious disease epidemiology in the era of deep learning C Augusta University of Guelph, 2020 | | 2020 |
Parameter Estimation in Individual-Level Models of Infectious Disease C Augusta University of Guelph, 2014 | | 2014 |