2 citations · 2 across the 3 of their papers we have counts for
4 papers
Impact of Network Centrality and Income on Slowing Infection Spread after Outbreaks
Shiv G. Yücel, Rafael H. M. Pereira, Pedro S. Peixoto +1
The COVID-19 pandemic has shed light on how the spread of infectious diseases worldwide are importantly shaped by both human mobility networks and socio-economic factors. Few studi…
Estimating Traffic Disruption Patterns with Volunteered Geographic Information
Chico Q. Camargo, Jonathan Bright, Graham McNeill +2
Accurate understanding and forecasting of traffic is a key contemporary problem for policymakers. Road networks are increasingly congested, yet traffic data is often expensive to o…
Diagnosing the performance of human mobility models at small spatial scales using volunteered geographic information
Chico Q. Camargo, Jonathan Bright, Scott A. Hale
Accurate modelling of local population movement patterns is a core contemporary concern for urban policymakers, affecting both the short term deployment of public transport resourc…
Deep learning generalizes because the parameter-function map is biased towards simple functions
Guillermo Valle-Pérez, Chico Q. Camargo, Ard A. Louis
Deep neural networks (DNNs) generalize remarkably well without explicit regularization even in the strongly over-parametrized regime where classical learning theory would instead p…