1 citations · 1 across the 5 of their papers we have counts for
5 papers
Machine learning-based prediction of Q-voter model in complex networks
Aruane M. Pineda, Paul Kent, Colm Connaughton +1
In this article, we consider machine learning algorithms to accurately predict two variables associated with the -voter model in complex networks, i.e., (i) the consensus time a…
Cultural heterogeneity constrains diffusion of innovations
Aruane M. Pineda, Sandro M. Reia, Colm Connaughton +2
Rogers' diffusion of innovations theory asserts that cultural similarity among individuals plays a crucial role in the acceptance of an innovation in a community. However, most stu…
Machine learning for the prediction of voter model opinions through complex network structures
Aruane M. Pineda, Caroline L. Alves, Colm Connaughton +1
The inference of outcomes in dynamic processes from structural features of systems is a crucial endeavor in network science. Recent research has suggested a machine learning-based…
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…
EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia
Caroline L. Alves, Aruane M. Pineda, Kirstin Roster +2
Mental disorders are among the leading causes of disability worldwide. The first step in treating these conditions is to obtain an accurate diagnosis, but the absence of establishe…