Marcos G. Quiles

According to our database, Marcos G. Quiles authored at least 80 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Visual political communication on Instagram: a comparative study of Brazilian presidential elections.

Mathias-Felipe de-Lima-Santos, Isabella Gonçalves, Marcos G. Quiles, Lucia Mesquita, Wilson Ceron, Maria Clara Couto Lorena

EPJ Data Sci., December, 2024

The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling.

Ronaldo C. Prati, Bruno S. M. Rodrigues, Iberis Aragão, Thereza A. Soares, Marcos G. Quiles, Juarez L. F. Da Silva

J. Chem. Inf. Model., February, 2024

Enhancing Explainability in Oral Cancer Detection with Grad-CAM Visualizations.

Arnaldo Vitor Barros da Silva, Cristina Saldivia-Siracusa, Eduardo Santos Carlos de Souza, Anna Luíza Damaceno Araújo, Marcio Ajudarte Lopes, Pablo Agustin Vargas, Luiz Paulo Kowalski, Alan Roger Santos-Silva, André C. P. L. F. de Carvalho, Marcos G. Quiles

Proceedings of the Computational Science and Its Applications - ICCSA 2024, 2024

Enhancing Low-Cost Molecular Property Prediction with Contrastive Learning on SMILES Representations.

Marcos G. Quiles, Piero A. L. Ribeiro, Gabriel A. Pinheiro, Ronaldo C. Prati, Juarez L. F. Da Silva

Proceedings of the Computational Science and Its Applications - ICCSA 2024 Workshops, 2024

The 2018 Brazilian Presidential Run-Off: A Complex Network Analysis Approach Using Twitter Data.

Juliano E. C. Cruz, Marcos G. Quiles

Proceedings of the Computational Science and Its Applications - ICCSA 2024, 2024

Applying LSTM Recurrent Neural Networks to Predict Revenue.

Luis Eduardo Pelin Cardoso, André C. P. L. F. de Carvalho, Marcos G. Quiles

Proceedings of the Computational Science and Its Applications - ICCSA 2024, 2024

2023

Visual Political Communication in a Polarized Society: A Longitudinal Study of Brazilian Presidential Elections on Instagram.

Mathias-Felipe de-Lima-Santos, Isabella Gonçalves, Marcos G. Quiles, Lucia Mesquita, Wilson Ceron

CoRR, 2023

Evaluation of Time Series Causal Detection Methods on the Influence of Pacific and Atlantic Ocean over Northeastern Brazil Precipitation.

Juliano E. C. Cruz, Mary T. Kayano, Alan J. P. Calheiros, Sâmia R. Garcia, Marcos G. Quiles

Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023

Guided Clustering for Selecting Representatives Samples in Chemical Databases.

Felipe V. Calderan, João Paulo Almeida de Mendonça, Juarez L. F. Da Silva, Marcos G. Quiles

Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

2022

SMICLR: Contrastive Learning on Multiple Molecular Representations for Semisupervised and Unsupervised Representation Learning.

Gabriel A. Pinheiro, Juarez L. F. Da Silva, Marcos G. Quiles

J. Chem. Inf. Model., 2022

Molecular Property Prediction and Molecular Design Using a Supervised Grammar Variational Autoencoder.

André F. Oliveira, Juarez L. F. Da Silva, Marcos G. Quiles

J. Chem. Inf. Model., 2022

Screening of the Role of the Chemical Structure in the Electrochemical Stability Window of Ionic Liquids: DFT Calculations Combined with Data Mining.

Alex S. Moraes, Gabriel A. Pinheiro, Tuanan C. Lourenço, Mauro C. Lopes, Marcos G. Quiles, Luis Gustavo Dias, Juarez L. F. Da Silva

J. Chem. Inf. Model., 2022

Theoretical Framework Based on Molecular Dynamics and Data Mining Analyses for the Study of Potential Energy Surfaces of Finite-Size Particles.

João Paulo Almeida de Mendonça, Felipe V. Calderan, Tuanan C. Lourenço, Marcos G. Quiles, Juarez L. F. Da Silva

J. Chem. Inf. Model., 2022

Importance of Numerical Implementation and Clustering Analysis in Force-Directed Algorithms for Accurate Community Detection.

Alessandra M. M. M. Gouvêa, Nicolás Rubido, Elbert E. N. Macau, Marcos G. Quiles

Appl. Math. Comput., 2022

The impact of low-cost molecular geometry optimization in property prediction via graph neural network.

Gabriel A. Pinheiro, Felipe V. Calderan, Juarez L. F. Da Silva, Marcos G. Quiles

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

A convolutional LSTM neural network for precipitation nowcasting based on weather radar data.

Aurelienne A. S. Jorge, Marcos G. Quiles, Izabelly C. Costa, Leonardo B. L. Santos

Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022

2021

COVID-19 fake news diffusion across Latin America.

Wilson Ceron, Gabriela Gruszynski Sanseverino, Mathias-Felipe de-Lima-Santos, Marcos G. Quiles

Soc. Netw. Anal. Min., 2021

Fake news agenda in the era of COVID-19: Identifying trends through fact-checking content.

Wilson Ceron, Mathias-Felipe de-Lima-Santos, Marcos G. Quiles

Online Soc. Networks Media, 2021

Correlation-Based Framework for Extraction of Insights from Quantum Chemistry Databases: Applications for Nanoclusters.

Johnatan Mucelini, Marcos G. Quiles, Ronaldo C. Prati, Juarez L. F. Da Silva

J. Chem. Inf. Model., 2021

Energy Decomposition to Access the Stability Changes Induced by CO Adsorption on Transition-Metal 13-Atom Clusters.

Krys E. A. Batista, Marinalva D. Soares, Marcos G. Quiles, Maurício J. Piotrowski, Juarez L. F. Da Silva

J. Chem. Inf. Model., 2021

Systematic Investigation of Error Distribution in Machine Learning Algorithms Applied to the Quantum-Chemistry QM9 Data Set Using the Bias and Variance Decomposition.

Luis Cesar de Azevedo, Gabriel A. Pinheiro, Marcos G. Quiles, Juarez L. F. Da Silva, Ronaldo C. Prati

J. Chem. Inf. Model., 2021

2020

Community Detection in Very High-Resolution Meteorological Networks.

Wilson Ceron, Leonardo B. L. Santos, Giovanni Dolif Neto, Marcos G. Quiles, Onofre A. Candido

IEEE Geosci. Remote. Sens. Lett., 2020

Ab Initio Investigation of CO2 Adsorption on 13-Atom 4d Clusters.

Krys E. A. Batista, Vivianne K. Ocampo-Restrepo, Marinalva D. Soares, Marcos G. Quiles, Maurício J. Piotrowski, Juarez L. F. Da Silva

J. Chem. Inf. Model., 2020

Chronnet: a network-based model for spatiotemporal data analysis.

Leonardo Nascimento Ferreira, Didier Augusto Vega-Oliveros, Moshé Cotacallapa, Manoel F. Cardoso, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau

CoRR, 2020

Measuring the engagement level in encrypted group conversations by using temporal networks.

Moshé Cotacallapa, Lilian Berton, Leonardo Nascimento Ferreira, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau, Didier A. Vega-Oliveros

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Monitoring Night Skies with Deep Learning.

Yuri Galindo, Marcelo De Cicco, Marcos G. Quiles, Ana Carolina Lorena

Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Graph-Based Clustering Analysis of the QM9 Dataset via SMILES Descriptors.

Gabriel A. Pinheiro, Juarez L. F. Da Silva, Marinalva D. Soares, Marcos G. Quiles

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

Dynamic Community Detection into Analyzing of Wildfires Events.

Alessandra M. M. M. Gouvêa, Didier A. Vega-Oliveros, Moshé Cotacallapa, Leonardo Nascimento Ferreira, Elbert E. N. Macau, Marcos G. Quiles

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019

How do urban mobility (geo)graph's topological properties fill a map?

Leonardo Bacelar Lima Santos, Luiz Max Carvalho, Wilson Seron, Flávio Codeço Coelho, Elbert E. N. Macau, Marcos G. Quiles, Antônio Miguel Vieira Monteiro

Appl. Netw. Sci., 2019

From spatio-temporal data to chronological networks: an application to wildfire analysis.

Didier Augusto Vega-Oliveros, Moshé Cotacallapa, Leonardo Nascimento Ferreira, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau, Manoel F. Cardoso

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Qualitative data clustering: a new Integer Linear Programming model.

Luiz Henrique Nogueira Lorena, Marcos Gonçalves Quiles, Luiz Antonio Nogueira Lorena, André C. P. L. F. de Carvalho, Juliana Garcia Cespedes

Proceedings of the International Joint Conference on Neural Networks, 2019

Clustering Data Streams: A Complex Network Approach.

Sandy M. Porto, Marcos G. Quiles

Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

Improving the Performance of an Integer Linear Programming Community Detection Algorithm Through Clique Filtering.

Luiz Henrique Nogueira Lorena, Marcos Gonçalves Quiles, Luiz Antonio Nogueira Lorena

Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

2018

An approach for applying Test-Driven Development (TDD) in the development of randomized algorithms.

André A. S. Ivo, Eduardo M. Guerra, Sandy M. Porto, Joelma Choma, Marcos G. Quiles

J. Softw. Eng. Res. Dev., 2018

A correlation-based approach for event detection in Instagram.

Elder Donizetti dos Santos, Marcos Gonçalves Quiles, Fábio Augusto Faria

J. Intell. Fuzzy Syst., 2018

Recurrence Density Enhanced Complex Networks for Nonlinear Time Series Analysis.

Diego G. de B. Costa, Barbara M. da F. Reis, Yong Zou, Marcos G. Quiles, Elbert E. N. Macau

Int. J. Bifurc. Chaos, 2018

Preprocessing Technique for Cluster Editing via Integer Linear Programming.

Luiz Henrique Nogueira Lorena, Marcos Gonçalves Quiles, André Carlos Ponce de Leon Ferreira de Carvalho, Luiz Antonio Nogueira Lorena

Proceedings of the Intelligent Computing Theories and Application, 2018

2017

Community detection in complex networks via adapted Kuramoto dynamics.

Daniel M. N. Maia, João Eliakin Mota de Oliveira, Marcos G. Quiles, Elbert E. N. Macau

Commun. Nonlinear Sci. Numer. Simul., 2017

Automatically Design Distance Functions for Graph-Based Semi-Supervised Learning.

Patricia Miquilini, Rafael Geraldeli Rossi, Marcos G. Quiles, Vinícius Veloso de Melo, Márcio P. Basgalupp

Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

Parallel Algorithm for Dynamic Community Detection.

Hugo Resende, Alvaro Luiz Fazenda, Marcos Gonçalves Quiles

Proceedings of the 2017 International Symposium on Computer Architecture and High Performance Computing Workshops, 2017

An alternative approach for binary and categorical self-organizing maps.

Alessandra Santana, Alessandra Marli M. Morais, Marcos G. Quiles

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Classification of Cocaine Dependents from fMRI Data Using Cluster-Based Stratification and Deep Learning.

Jeferson S. Santos, Ricardo Manhães Savii, Jaime S. Ide, Chiang-shan R. Li, Marcos G. Quiles, Márcio P. Basgalupp

Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

2016

An object-based visual selection framework.

Alcides X. Benicasa, Marcos G. Quiles, Thiago C. Silva, Liang Zhao, Roseli A. F. Romero

Neurocomputing, 2016

Sentiment and Behavior Analysis of One Controversial American Individual on Twitter.

João Eliakin Mota de Oliveira, Moshé Cotacallapa, Wilson Seron, Rafael Duarte Coelho dos Santos, Marcos G. Quiles

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Active Consensus-Based Semi-supervised Growing Neural Gas.

Vinícius R. Máximo, Mariá C. V. Nascimento, Fabricio A. Breve, Marcos G. Quiles

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

Particle competition and cooperation for semi-supervised learning with label noise.

Fabricio A. Breve, Liang Zhao, Marcos G. Quiles

Neurocomputing, 2015

Community detection, with lower time complexity, using coupled Kuramoto oscillators.

João Eliakin Mota de Oliveira, Marcos G. Quiles, Marcos D. N. Maia, Elbert E. N. Macau

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Interactive image segmentation using particle competition and cooperation.

Fabricio A. Breve, Marcos Gonçalves Quiles, Liang Zhao

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Using Growing Neural Gas in Prototype Generation for Nearest Neighbor Classifiers.

Jussara Dias, Marcos G. Quiles, Ana Carolina Lorena

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

#Worldcup2014 on Twitter.

Wilson Seron, Ezequiel Roberto Zorzal, Marcos G. Quiles, Márcio P. Basgalupp, Fabricio A. Breve

Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015

Interactive Image Segmentation of Non-contiguous Classes Using Particle Competition and Cooperation.

Fabricio A. Breve, Marcos G. Quiles, Liang Zhao

Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015

2014

Development of Adaptive Information Visualization Systems with Augmented Reality.

Ezequiel Roberto Zorzal, Celso André Rodrigues de Sousa, Alexandre Cardoso, Claudio Kirner, Edgard Afonso Lamounier, Marcos G. Quiles

Proceedings of the 18th International Conference on Information Visualisation, 2014

A consensus-based semi-supervised growing neural gas.

Vinícius R. Máximo, Marcos G. Quiles, Mariá C. V. Nascimento

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

A Methodology for Generating Time-Varying Complex Networks with Community Structure.

Sandy M. Porto, Marcos G. Quiles

Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

Community Detection in Complex Networks Using Coupled Kuramoto Oscillators.

João Eliakin Mota de Oliveira, Marcos G. Quiles

Proceedings of the 2014 14th International Conference on Computational Science and Its Applications, Guimaraes, Portugal, June 30, 2014

Icon and Geometric Data Visualization with a Self-Organizing Map Grid.

Alessandra Marli M. Morais, Marcos Gonçalves Quiles, Rafael D. C. Santos

Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

An Object-Based Visual Selection Model Combining Physical Features and Memory.

Alcides Xavier Benicasa, Marcos G. Quiles, Thiago C. Silva, Liang Zhao, Roseli A. Francelin Romero

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013

A dynamical model for community detection in complex networks.

Marcos G. Quiles, Ezequiel R. Zorzal, Elbert E. N. Macau

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Top-Down Biasing and Modulation for Object-Based Visual Attention.

Alcides Xavier Benicasa, Marcos G. Quiles, Liang Zhao, Roseli A. F. Romero

Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012

Particle Competition and Cooperation in Networks for Semi-Supervised Learning.

Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Witold Pedrycz, Jiming Liu

IEEE Trans. Knowl. Data Eng., 2012

Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm.

Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Marcos G. Quiles

J. Braz. Comput. Soc., 2012

An Object-Based Visual Selection Model with Bottom-Up and Top-Down Modulations.

Alcides X. Benicasa, Marcos G. Quiles, Liang Zhao, Roseli A. F. Romero

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

2011

Selecting salient objects in real scenes: An oscillatory correlation model.

Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang

Neural Networks, 2011

Particle Competition and Cooperation for Uncovering Network Overlap Community Structure.

Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Witold Pedrycz, Jiming Liu

Proceedings of the Advances in Neural Networks - ISNN 2011, 2011

A clustering-based decision tree induction algorithm.

Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Márcio P. Basgalupp, Marcos G. Quiles

Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

2010

Label propagation through neuronal synchrony.

Marcos G. Quiles, Liang Zhao, Fabricio A. Breve, Anderson Rocha

Proceedings of the International Joint Conference on Neural Networks, 2010

Semi-supervised learning from imperfect data through particle cooperation and competition.

Fabricio A. Breve, Liang Zhao, Marcos G. Quiles

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Networks with spatio temporal dynamics in computer sciences.

Marcos Gonçalves Quiles

PhD thesis, 2009

Chaotic phase synchronization and desynchronization in an oscillator network for object selection.

Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Elbert E. N. Macau

Neural Networks, 2009

A network of integrate and fire neurons for visual selection.

Marcos G. Quiles, Liang Zhao, Fabricio A. Breve, Roseli A. Francelin Romero

Neurocomputing, 2009

An oscillatory correlation model of object-based attention.

Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang

Proceedings of the International Joint Conference on Neural Networks, 2009

Chaotic phase synchronization for visual selection.

Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Elbert E. N. Macau

Proceedings of the International Joint Conference on Neural Networks, 2009

Particle Competition in Complex Networks for Semi-supervised Classification.

Fabricio A. Breve, Liang Zhao, Marcos G. Quiles

Proceedings of the Complex Sciences, 2009

Uncovering Overlap Community Structure in Complex Networks Using Particle Competition.

Fabricio A. Breve, Liang Zhao, Marcos G. Quiles

Proceedings of the Artificial Intelligence and Computational Intelligence, 2009

2008

Visual Selection with Feature Contrast-Based Inhibition in a Network of Integrate and Fire Neurons.

Marcos G. Quiles, Fabricio A. Breve, Roseli A. F. Romero, Liang Zhao

Proceedings of the Fourth International Conference on Natural Computation, 2008

2007

A Visual Selection Mechanism Based on Network of Chaotic Wilson-Cowan Oscillators.

Marcos G. Quiles, Fabricio A. Breve, Liang Zhao, Roseli A. Francelin Romero

Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

A Network of Dynamically Coupled Elements for Pixel Clustering.

Liang Zhao, Marcos G. Quiles, Antonio P. G. Damiance, Roseli A. Francelin Romero

Proceedings of the International Joint Conference on Neural Networks, 2007

A Visual Selection Mechanism Based on a Pulse-Coupled Neural Network.

Marcos G. Quiles, Liang Zhao, Roseli A. Francelin Romero

Proceedings of the International Joint Conference on Neural Networks, 2007

Visual Selection and Shifting Mechanisms Based on a Network of Chaotic Wilson-Cowan Oscillators.

Liang Zhao, Fabricio A. Breve, Marcos G. Quiles, Roseli A. F. Romero

Proceedings of the Third International Conference on Natural Computation, 2007

2006

A Pulse-Coupled Neural Network as A Simplified Bottom-Up Visual Attention Model.

Marcos G. Quiles, Roseli A. Francelin Romero, Liang Zhao

Proceedings of the SBRN 2006, 2006