3 citations · 6 across the 3 of their papers we have counts for
3 papers
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study
Viet Bach Nguyen, Truong Son Hy, Long Tran-Thanh +1
Modeling and simulations of pandemic dynamics play an essential role in understanding and addressing the spreading of highly infectious diseases such as COVID-19. In this work, we…
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction
Truong Son Hy, Viet Bach Nguyen, Long Tran-Thanh +1
In this paper, we introduce Temporal Multiresolution Graph Neural Networks (TMGNN), the first architecture that both learns to construct the multiscale and multiresolution graph st…
Efficiency of active learning for the allocation of workers on crowdsourced classification tasks
Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
Crowdsourcing has been successfully employed in the past as an effective and cheap way to execute classification tasks and has therefore attracted the attention of the research com…