A Pulse-Coupled Neural Network as A Simplified Bottom-Up Visual Attention Model. - Marcos G. Quiles; Roseli A. Francelin Romero; Liang Zhao 001 (SBRN, 2006)

Visual Selection and Shifting Mechanisms Based on a Network of Chaotic Wilson-Cowan Oscillators. - Liang Zhao 001; Fabricio A. Breve; Marcos G. Quiles; Roseli A. F. Romero (ICNC (5), 2007)

A Visual Selection Mechanism Based on a Pulse-Coupled Neural Network. - Marcos G. Quiles; Liang Zhao 001; Roseli A. Francelin Romero (IJCNN, 2007)

A Network of Dynamically Coupled Elements for Pixel Clustering. - Liang Zhao 001; Marcos G. Quiles; Antonio P. G. Damiance; Roseli A. Francelin Romero (IJCNN, 2007)

A Visual Selection Mechanism Based on Network of Chaotic Wilson-Cowan Oscillators. - Marcos G. Quiles; Fabricio A. Breve; Liang Zhao 001; Roseli A. Francelin Romero (ISDA, 2007)

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 001 (ICNC (3), 2008)

Uncovering Overlap Community Structure in Complex Networks Using Particle Competition. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles (AICI, 2009)

Particle Competition in Complex Networks for Semi-supervised Classification. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles (Complex (1), 2009)

Chaotic phase synchronization for visual selection. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles; Elbert E. N. Macau (IJCNN, 2009)

An oscillatory correlation model of object-based attention. - Marcos G. Quiles; DeLiang Wang; Liang Zhao 001; Roseli A. Francelin Romero; De-Shuang Huang (IJCNN, 2009)

A network of integrate and fire neurons for visual selection. - Marcos G. Quiles; Liang Zhao 001; Fabricio A. Breve; Roseli A. Francelin Romero (Neurocomputing, 2009)

Chaotic phase synchronization and desynchronization in an oscillator network for object selection. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles; Elbert E. N. Macau (Neural Networks, 2009)

Networks with spatio temporal dynamics in computer sciences. - Marcos Gonçalves Quiles (2009)

Semi-supervised learning from imperfect data through particle cooperation and competition. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles (IJCNN, 2010)

Label propagation through neuronal synchrony. - Marcos G. Quiles; Liang Zhao 001; Fabricio A. Breve; Anderson Rocha 001 (IJCNN, 2010)

A clustering-based decision tree induction algorithm. - Rodrigo C. Barros; André Carlos Ponce de Leon Ferreira de Carvalho; Márcio P. Basgalupp; Marcos G. Quiles (ISDA, 2011)

Particle Competition and Cooperation for Uncovering Network Overlap Community Structure. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles; Witold Pedrycz; Jiming Liu 001 (ISNN (3), 2011)

Selecting salient objects in real scenes: An oscillatory correlation model. - Marcos G. Quiles; DeLiang Wang; Liang Zhao 001; Roseli A. Francelin Romero; De-Shuang Huang (Neural Networks, 2011)

An Object-Based Visual Selection Model with Bottom-Up and Top-Down Modulations. - Alcides X. Benicasa; Marcos G. Quiles; Liang Zhao 001; Roseli A. F. Romero (SBRN, 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)

Particle Competition and Cooperation in Networks for Semi-Supervised Learning. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles; Witold Pedrycz; Jiming Liu 001 (IEEE Trans. Knowl. Data Eng., 2012)

Top-Down Biasing and Modulation for Object-Based Visual Attention. - Alcides Xavier Benicasa; Marcos G. Quiles; Liang Zhao 001; Roseli A. F. Romero (ICONIP (3), 2013)

A dynamical model for community detection in complex networks. - Marcos G. Quiles; Ezequiel R. Zorzal; Elbert E. N. Macau (IJCNN, 2013)

An Object-Based Visual Selection Model Combining Physical Features and Memory. - Alcides Xavier Benicasa; Marcos G. Quiles; Thiago C. Silva 001; Liang Zhao 001; Roseli A. Francelin Romero (BRACIS, 2014)

Icon and Geometric Data Visualization with a Self-Organizing Map Grid. - Alessandra Marli M. Morais; Marcos Gonçalves Quiles; Rafael D. C. Santos (ICCSA (6), 2014)

Community Detection in Complex Networks Using Coupled Kuramoto Oscillators. - João Eliakin Mota de Oliveira; Marcos G. Quiles (ICCSA (Workshops/Short Papers/Posters), 2014)

A Methodology for Generating Time-Varying Complex Networks with Community Structure. - Sandy M. Porto; Marcos G. Quiles (ICCSA (1), 2014)

A consensus-based semi-supervised growing neural gas. - Vinícius R. Máximo; Marcos G. Quiles; Mariá C. V. Nascimento (IJCNN, 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 (IV, 2014)

Interactive Image Segmentation of Non-contiguous Classes Using Particle Competition and Cooperation. - Fabricio A. Breve; Marcos G. Quiles; Liang Zhao 001 (ICCSA (1), 2015)

#Worldcup2014 on Twitter. - Wilson Seron; Ezequiel Roberto Zorzal; Marcos G. Quiles; Márcio P. Basgalupp; Fabricio A. Breve (ICCSA (1), 2015)

Using Growing Neural Gas in Prototype Generation for Nearest Neighbor Classifiers. - Jussara Dias; Marcos G. Quiles; Ana Carolina Lorena (ICONIP (2), 2015)

Interactive image segmentation using particle competition and cooperation. - Fabricio A. Breve; Marcos Gonçalves Quiles; Liang Zhao 001 (IJCNN, 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 (SAC, 2015)

Particle competition and cooperation for semi-supervised learning with label noise. - Fabricio A. Breve; Liang Zhao 001; Marcos G. Quiles (Neurocomputing, 2015)

Active Consensus-Based Semi-supervised Growing Neural Gas. - Vinícius R. Máximo; Mariá C. V. Nascimento; Fabricio A. Breve; Marcos G. Quiles (ICONIP (2), 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 (ICONIP (2), 2016)

An object-based visual selection framework. - Alcides X. Benicasa; Marcos G. Quiles; Thiago C. Silva 001; Liang Zhao 001; Roseli A. F. Romero (Neurocomputing, 2016)

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 (ICCSA (1), 2017)

An alternative approach for binary and categorical self-organizing maps. - Alessandra Santana; Alessandra Marli M. Morais; Marcos G. Quiles (IJCNN, 2017)

Parallel Algorithm for Dynamic Community Detection. - Hugo Resende; Alvaro Luiz Fazenda 001; Marcos Gonçalves Quiles (SBAC-PAD (Workshops), 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 (TrustCom/BigDataSE/ICESS, 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)

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 (ICIC (1), 2018)

Recurrence Density Enhanced Complex Networks for Nonlinear Time Series Analysis. - Diego G. de B. Costa; Barbara M. da F. Reis; Yong Zou 002; Marcos G. Quiles; Elbert E. N. Macau (Int. J. Bifurc. Chaos, 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)

An approach for applying Test-Driven Development (TDD) in the development of randomized algorithms. - André A. S. Ivo; Eduardo M. Guerra 001; Sandy M. Porto; Joelma Choma; Marcos G. Quiles (J. Softw. Eng. Res. Dev., 2018)

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 (ICCSA (1), 2019)

Clustering Data Streams: A Complex Network Approach. - Sandy M. Porto; Marcos G. Quiles (ICCSA (1), 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 (IJCNN, 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 001; Elbert E. N. Macau; Manoel F. Cardoso (SAC, 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)

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 (ICCSA (1), 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 (ICCSA (1), 2020)

Monitoring Night Skies with Deep Learning. - Yuri Galindo; Marcelo De Cicco; Marcos G. Quiles; Ana Carolina Lorena (ICONIP (4), 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 001; Elbert E. N. Macau; Didier A. Vega-Oliveros (IJCNN, 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 001; Elbert E. N. Macau (CoRR, 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)

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)

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)

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)

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)

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)

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)

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 (GEOINFO, 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 (ICMLA, 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)

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)

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)

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)

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)

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 (ICCSA (Workshops 8), 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 (ICCSA (1), 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)

Applying LSTM Recurrent Neural Networks to Predict Revenue. - Luis Eduardo Pelin Cardoso; André C. P. L. F. de Carvalho; Marcos G. Quiles (ICCSA (2), 2024)

The 2018 Brazilian Presidential Run-Off: A Complex Network Analysis Approach Using Twitter Data. - Juliano E. C. Cruz; Marcos G. Quiles (ICCSA (2), 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 (ICCSA (Workshops 9), 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 (ICCSA (1), 2024)

A Hybrid CNN-LSTM Based Network for Rolling Bearing Fault Detection. - Tales Moreira Tavares; Lucas Daher Santos; Marcos Gonçalves Quiles; Mateus Giesbrecht (IECON, 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., 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., 2024)