Francisco Aparecido Rodrigues

Orcid: 0000-0002-0145-5571

Affiliations:
  • University of Sao Paulo, Brazil


According to our database1, Francisco Aparecido Rodrigues authored at least 52 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning.
J. Complex Networks, September, 2023

Does the default pecking order impact systemic risk? Evidence from Brazilian data.
Eur. J. Oper. Res., 2023

Scale-free networks: improved inference.
CoRR, 2023

Machine learning-based prediction of Q-voter model in complex networks.
CoRR, 2023

Group polarization, influence, and domination in online interaction networks: A case study of the 2022 Brazilian elections.
CoRR, 2023

2022
Forecasting new diseases in low-data settings using transfer learning.
CoRR, 2022

Predição de Resiliência Econômica a partir de Métodos Supervisionados baseados em Grafos Dinâmicos.
Proceedings of the 37th Brazilian Symposium on Databases, 2022

Analysis of the watersheds of National Interconnected System (SIN) using Complex Network.
Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022

2021
Bayesian Reference Analysis for the Generalized Normal Linear Regression Model.
Symmetry, 2021

EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia.
CoRR, 2021

Neural Networks for Dengue Prediction: A Systematic Review.
CoRR, 2021

Risk-dependent centrality in the Brazilian stock market.
J. Complex Networks, 2021

2020
Comparison of Different Spike Train Synchrony Measures Regarding Their Robustness to Erroneous Data From Bicuculline-Induced Epileptiform Activity.
Neural Comput., 2020

Influence maximization by rumor spreading on correlated networks through community identification.
Commun. Nonlinear Sci. Numer. Simul., 2020

Complex Networks to Differentiate Elderly and Young People.
Proceedings of the Information Management and Big Data, 2020

Discovering Causal Factors of Drought in Ethiopia.
Proceedings of the CI 2020: 10th International Conference on Climate Informatics, 2020

2019
A machine learning approach to predicting dynamical observables from network structure.
CoRR, 2019

Anomaly detection in complex networks as a diagnosis of model over-simplification.
CoRR, 2019

2018
Unfolding the Complexity of the Global Value Chain: Strength and Entropy in the Single-Layer, Multiplex, and Multi-Layer International Trade Networks.
Entropy, 2018

Mobility helps problem-solving systems to avoid Groupthink.
CoRR, 2018

Pattern Recognition Approach to Violin Shapes of MIMO database.
CoRR, 2018

A general Markov chain approach for disease and rumour spreading in complex networks.
J. Complex Networks, 2018

The impact of Interconnecting Topologies on SOM Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Segmentation of large images based on super-pixels and community detection in graphs.
IET Image Process., 2017

Influence maximization on correlated networks through community identification.
CoRR, 2017

The Impact of Social Curiosity on Information Spreading on Networks.
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017

2016
Influence of network topology on cooperative problem-solving systems.
Theory Biosci., 2016

Concentric network symmetry.
Inf. Sci., 2016

A survey on symbolic data-based music genre classification.
Expert Syst. Appl., 2016

Clustering Algorithms: A Comparative Approach.
CoRR, 2016

Unifying Markov Chain Approach for Disease and Rumor Spreading in Complex Networks.
CoRR, 2016

2015
Thermodynamic characterization of networks using graph polynomials.
CoRR, 2015

Multilayer networks: metrics and spectral properties.
CoRR, 2015

On degree-degree correlations in multilayer networks.
CoRR, 2015

An Adjustable Error Measure for Image Segmentation Evaluation.
Proceedings of the 28th SIBGRAPI Conference on Graphics, Patterns and Images, 2015

Influence Maximization Based on the Least Influential Spreaders.
Proceedings of the 1st International Workshop on Social Influence Analysis, 2015

2014
Concentric Symmetry.
CoRR, 2014

The role of centrality for the identification of influential spreaders in complex networks.
CoRR, 2014

2013
Quantifying the interdisciplinarity of scientific journals and fields.
J. Informetrics, 2013

Supervised Classification of Basaltic Aggregate Particles Based on Texture Properties.
J. Comput. Civ. Eng., 2013

Impact of order three cycles in complex network spectra.
CoRR, 2013

A systematic comparison of supervised classifiers.
CoRR, 2013

2012
Segmentation of Large Images with Complex Networks.
Proceedings of the 25th SIBGRAPI Conference on Graphics, Patterns and Images, 2012

2011
Automatic Network Fingerprinting through Single-Node Motifs
CoRR, 2011

A Complex Networks Approach for Data Clustering
CoRR, 2011

2010
Estimating complex cortical networks via surface recordings - A critical note.
NeuroImage, 2010

Multiscale Curvature Analysis of Asphaltic Aggregate Particles.
J. Comput. Civ. Eng., 2010

Modeling the Evolution of Complex Networks through the Path-Star Transformation and Optimal Multivariate Methods.
Int. J. Bifurc. Chaos, 2010

Identifying Abnormal Nodes in Protein-Protein Interaction Networks.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

2009
Signal propagation in cortical networks: a digital signal processing approach.
Frontiers Neuroinformatics, 2009

Diffusion of time-varying signals in cortical networks.
Proceedings of the 16th International Conference on Digital Signal Processing, 2009

Modeling Highway Networks with Path-Geographical Transformations.
Proceedings of the Complex Networks, 2009


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