no code implementations • 19 Nov 2023 • Nixon Jerez-Lillo, Francisco A. Rodrigues, Pedro L. Ramos
These methods reveal that objective Bayesian approaches return nearly unbiased estimates for the parameters of both models.
1 code implementation • 16 Oct 2023 • Francisco A. Rodrigues
Machine learning is a rapidly growing field with the potential to revolutionize many areas of science, including physics.
1 code implementation • 7 Apr 2022 • 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 novel infectious diseases.
no code implementations • 7 Oct 2021 • Caroline L. Alves, Aruane M. Pineda, Kirstin Roster, Christiane Thielemann, Francisco A. Rodrigues
We present a method for the automatic diagnosis of mental disorders based on the matrix of connections obtained from EEG time series and deep learning.
no code implementations • 22 Jun 2021 • Kirstin Roster, Francisco A. Rodrigues
We summarize the relative performance of neural networks and comparator models, model architectures and hyper-parameters, as well as choices of input features.
no code implementations • 23 Feb 2021 • Guilherme Ferraz de Arruda, Lucas G. S. Jeub, Angélica S. Mata, Francisco A. Rodrigues, Yamir Moreno
Rumor and information spreading are natural processes that emerge from human-to-human interaction.
Physics and Society
1 code implementation • 6 May 2019 • Thomas Peron, Bruno Messias, Angélica S. Mata, Francisco A. Rodrigues, Yamir Moreno
Despite the great attention devoted to the study of phase oscillators on complex networks in the last two decades, it remains unclear whether scale-free networks exhibit a nonzero critical coupling strength for the onset of synchronization in the thermodynamic limit.
Statistical Mechanics Adaptation and Self-Organizing Systems Physics and Society
1 code implementation • 27 Mar 2019 • Didier A. Vega-Oliveros, J. A. Méndez-Bermúdez, Francisco A. Rodrigues
The bond strengths of the model, which decay as a power--law, are tuned by the parameter $\mu$ as $A_{mn}\propto |m-n|^{-\mu}$; while the sparsity is driven by the average network connectivity $\alpha$: for $\alpha=0$ the vertices in the network are isolated and for $\alpha=1$ the network is fully connected and the PBRM model is recovered.
Physics and Society 65Z05 J.2; G.2.2
no code implementations • 8 Aug 2018 • Thomas Peron, Francisco A. Rodrigues, Luciano da F. Costa
Since the landmarks established by the Cremonese school in the 16th century, the history of violin design has been marked by experimentation.
no code implementations • 8 Dec 2017 • Luiz G. A. Alves, Haroldo V. Ribeiro, Francisco A. Rodrigues
Understanding the causes of crime is a longstanding issue in researcher's agenda.
no code implementations • 26 Dec 2016 • Mayra Z. Rodriguez, Cesar H. Comin, Dalcimar Casanova, Odemir M. Bruno, Diego R. Amancio, Francisco A. Rodrigues, Luciano da F. Costa
We also found that the default configuration of the adopted implementations was not accurate.
no code implementations • 17 Jun 2016 • Cesar H. Comin, Thomas K. DM. Peron, Filipi N. Silva, Diego R. Amancio, Francisco A. Rodrigues, Luciano da F. Costa
More specifically, the identification of the main areas to which the concepts frequently used in complex networks can be applied paves the way to adopting and applying a larger set of concepts and methods deriving from those respective areas.