6 citations · 8 across the 4 of their papers we have counts for
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cs.LG2022★ 1 cited
Forecasting new diseases in low-data settings using transfer learning
Kirstin Roster, Colm Connaughton, Francisco A. Rodrigues
Recent infectious disease outbreaks, such as the COVID-19 pandemic and the Zika epidemic in Brazil, have demonstrated both the importance and difficulty of accurately forecasting n…
cs.LG2021★ 6 cited
Neural networks for dengue forecasting: a systematic review
Luiza Lober, Francisco A. Rodrigues, Kirstin Roster
Background: Early forecasts of dengue are an important tool for disease mitigation. Neural networks are powerful predictive models that have made contributions to many areas of pub…