4 citations · 4 across the 5 of their papers we have counts for
5 papers
Prediction and inference in complex networks: a brief review and perspectives
Francisco A. Rodrigues
Inference and prediction are fundamental to the study of complex systems, where network data are often incomplete, inaccurate or obtained indirectly. In this paper, we review recen…
Consequences of non-Markovian healing processes on epidemic models with recurrent infections on networks
José Carlos M. Silva, Diogo H. Silva, Francisco A. Rodrigues +1
Infections diseases are marked by recovering time distributions which can be far from the exponential one associated with Markovian/Poisson processes, broadly applied in epidemic c…
Parameter Inference in Non-linear Dynamical Systems via Recurrence Plots and Convolutional Neural Networks
L. Lober, M. S. Palmero, F. A. Rodrigues
Inferring control parameters in non-linear dynamical systems is an important task in analysing general dynamical behaviours, particularly in the presence of inherently deterministi…
Accuracy of discrete- and continuous-time mean-field theories for epidemic processes on complex networks
Diogo H. Silva, Francisco A. Rodrigues, Silvio C. Ferreira
Discrete- and continuous-time approaches are frequently used to model the role of heterogeneity on dynamical interacting agents on the top of complex networks. While, on the one ha…
Machine learning in physics: a short guide
Francisco A. Rodrigues
Machine learning is a rapidly growing field with the potential to revolutionize many areas of science, including physics. This review provides a brief overview of machine learning…