3 papers
cond-mat.stat-mech2025
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…
nlin.CD2025
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…
physics.soc-ph2024
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…