Marcos G. Quiles

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 43

Top Topics

Growing Neural Gas

Complex Networks

Top Venues

J. Chem. Inf. Model.

Publications

Juliano E. C. Cruz, Marcos G. Quiles
The 2018 Brazilian Presidential Run-Off: A Complex Network Analysis Approach Using Twitter Data. ICCSA (2) (2024)
Ronaldo C. Prati, Bruno S. M. Rodrigues, Iberis Aragão, Thereza A. Soares, Marcos G. Quiles, Juarez L. F. Da Silva
The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling. J. Chem. Inf. Model. 64 (4) (2024)
Luis Eduardo Pelin Cardoso, André C. P. L. F. de Carvalho, Marcos G. Quiles
Applying LSTM Recurrent Neural Networks to Predict Revenue. ICCSA (2) (2024)
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
Enhancing Explainability in Oral Cancer Detection with Grad-CAM Visualizations. ICCSA (1) (2024)
Marcos G. Quiles, Piero A. L. Ribeiro, Gabriel A. Pinheiro, Ronaldo C. Prati, Juarez L. F. Da Silva
Enhancing Low-Cost Molecular Property Prediction with Contrastive Learning on SMILES Representations. ICCSA (Workshops 9) (2024)
Felipe V. Calderan, João Paulo A. de Mendonça, Juarez L. F. Da Silva, Marcos G. Quiles
Guided Clustering for Selecting Representatives Samples in Chemical Databases. ICCSA (Workshops 8) (2023)
Juliano E. C. Cruz, Mary T. Kayano, Alan J. P. Calheiros, Sâmia R. Garcia, Marcos G. Quiles
Evaluation of Time Series Causal Detection Methods on the Influence of Pacific and Atlantic Ocean over Northeastern Brazil Precipitation. ICCSA (1) (2023)
Mathias-Felipe de-Lima-Santos, Isabella Gonçalves, Marcos G. Quiles, Lucia Mesquita, Wilson Ceron
Visual Political Communication in a Polarized Society: A Longitudinal Study of Brazilian Presidential Elections on Instagram. CoRR (2023)
Gabriel A. Pinheiro, Felipe V. Calderan, Juarez L. F. Da Silva, Marcos G. Quiles
The impact of low-cost molecular geometry optimization in property prediction via graph neural network. ICMLA (2022)
Alex S. Moraes, Gabriel A. Pinheiro, Tuanan C. Lourenço, Mauro C. Lopes, Marcos G. Quiles, Luis Gustavo Dias, Juarez L. F. Da Silva
Screening of the Role of the Chemical Structure in the Electrochemical Stability Window of Ionic Liquids: DFT Calculations Combined with Data Mining. J. Chem. Inf. Model. 62 (19) (2022)
Aurelienne A. S. Jorge, Marcos G. Quiles, Izabelly C. Costa, Leonardo B. L. Santos
A convolutional LSTM neural network for precipitation nowcasting based on weather radar data. GEOINFO (2022)
André F. Oliveira, Juarez L. F. Da Silva, Marcos G. Quiles
Molecular Property Prediction and Molecular Design Using a Supervised Grammar Variational Autoencoder. J. Chem. Inf. Model. 62 (4) (2022)
Gabriel A. Pinheiro, Juarez L. F. Da Silva, Marcos G. Quiles
SMICLR: Contrastive Learning on Multiple Molecular Representations for Semisupervised and Unsupervised Representation Learning. J. Chem. Inf. Model. 62 (17) (2022)
Alessandra M. M. M. Gouvêa, Nicolás Rubido, Elbert E. N. Macau, Marcos G. Quiles
Importance of Numerical Implementation and Clustering Analysis in Force-Directed Algorithms for Accurate Community Detection. Appl. Math. Comput. 431 (2022)
João Paulo A. de Mendonça, Felipe V. Calderan, Tuanan C. Lourenço, Marcos G. Quiles, Juarez L. F. Da Silva
Theoretical Framework Based on Molecular Dynamics and Data Mining Analyses for the Study of Potential Energy Surfaces of Finite-Size Particles. J. Chem. Inf. Model. 62 (22) (2022)
Luis Cesar de Azevedo, Gabriel A. Pinheiro, Marcos G. Quiles, Juarez L. F. Da Silva, Ronaldo C. Prati
Systematic Investigation of Error Distribution in Machine Learning Algorithms Applied to the Quantum-Chemistry QM9 Data Set Using the Bias and Variance Decomposition. J. Chem. Inf. Model. 61 (9) (2021)
Wilson Ceron, Mathias-Felipe de-Lima-Santos, Marcos G. Quiles
Fake news agenda in the era of COVID-19: Identifying trends through fact-checking content. Online Soc. Networks Media 21 (2021)
Johnatan Mucelini, Marcos G. Quiles, Ronaldo C. Prati, Juarez L. F. Da Silva
Correlation-Based Framework for Extraction of Insights from Quantum Chemistry Databases: Applications for Nanoclusters. J. Chem. Inf. Model. 61 (3) (2021)
Wilson Ceron, Gabriela Gruszynski Sanseverino, Mathias-Felipe de-Lima-Santos, Marcos G. Quiles
COVID-19 fake news diffusion across Latin America. Soc. Netw. Anal. Min. 11 (1) (2021)
Krys E. A. Batista, Marinalva D. Soares, Marcos G. Quiles, Maurício J. Piotrowski, Juarez L. F. Da Silva
Energy Decomposition to Access the Stability Changes Induced by CO Adsorption on Transition-Metal 13-Atom Clusters. J. Chem. Inf. Model. 61 (5) (2021)
Krys E. A. Batista, Vivianne K. Ocampo-Restrepo, Marinalva D. Soares, Marcos G. Quiles, Maurício J. Piotrowski, Juarez L. F. Da Silva
Ab Initio Investigation of CO2 Adsorption on 13-Atom 4d Clusters. J. Chem. Inf. Model. 60 (2) (2020)
Moshé Cotacallapa, Lilian Berton, Leonardo N. Ferreira, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau, Didier A. Vega-Oliveros
Measuring the engagement level in encrypted group conversations by using temporal networks. IJCNN (2020)
Fabricio A. Breve, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau
Chaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection. CoRR (2020)
Leonardo N. Ferreira, Didier Augusto Vega-Oliveros, Moshé Cotacallapa, Manoel F. Cardoso, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau
Chronnet: a network-based model for spatiotemporal data analysis. CoRR (2020)
Alessandra Marli M. Morais, Didier A. Vega-Oliveros, Moshé Cotacallapa, Leonardo N. Ferreira, Elbert E. N. Macau, Marcos G. Quiles
Dynamic Community Detection into Analyzing of Wildfires Events. CoRR (2020)
Alessandra M. M. M. Gouvêa, Didier A. Vega-Oliveros, Moshé Cotacallapa, Leonardo N. Ferreira, Elbert E. N. Macau, Marcos G. Quiles
Dynamic Community Detection into Analyzing of Wildfires Events. ICCSA (1) (2020)
Wilson Ceron, Mathias-Felipe de-Lima-Santos, Marcos G. Quiles
Fake news agenda in the era of COVID-19: Identifying trends through fact-checking content. CoRR (2020)
Yuri Galindo, Marcelo De Cicco, Marcos G. Quiles, Ana Carolina Lorena
Monitoring Night Skies with Deep Learning. ICONIP (4) (2020)
Wilson Ceron, Leonardo B. L. Santos, Giovanni Dolif Neto, Marcos G. Quiles, Onofre A. Candido
Community Detection in Very High-Resolution Meteorological Networks. IEEE Geosci. Remote. Sens. Lett. 17 (11) (2020)
Gabriel A. Pinheiro, Juarez L. F. Da Silva, Marinalva D. Soares, Marcos G. Quiles
A Graph-Based Clustering Analysis of the QM9 Dataset via SMILES Descriptors. ICCSA (1) (2020)
Didier Augusto Vega-Oliveros, Moshé Cotacallapa, Leonardo N. Ferreira, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau, Manoel F. Cardoso
From spatio-temporal data to chronological networks: an application to wildfire analysis. SAC (2019)
Leonardo Bacelar Lima Santos, Luiz Max Carvalho, Wilson Seron, Flávio Codeço Coelho, Elbert E. N. Macau, Marcos G. Quiles, Antônio Miguel Vieira Monteiro
How do urban mobility (geo)graph's topological properties fill a map? Appl. Netw. Sci. 4 (1) (2019)
Sandy M. Porto, Marcos G. Quiles
Clustering Data Streams: A Complex Network Approach. ICCSA (1) (2019)
Diego G. de B. Costa, Barbara M. da F. Reis, Yong Zou, Marcos G. Quiles, Elbert E. N. Macau
Recurrence Density Enhanced Complex Networks for Nonlinear Time Series Analysis. Int. J. Bifurc. Chaos 28 (1) (2018)
Didier Augusto Vega-Oliveros, Moshé Cotacallapa, Leonardo N. Ferreira, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau, Manoel F. Cardoso
From spatio-temporal data to chronological networks: An application to wildfire analysis. CoRR (2018)
André A. S. Ivo, Eduardo M. Guerra, Sandy M. Porto, Joelma Choma, Marcos G. Quiles
An approach for applying Test-Driven Development (TDD) in the development of randomized algorithms. J. Softw. Eng. Res. Dev. 6 (2018)
Daniel M. N. Maia, João Eliakin Mota de Oliveira, Marcos G. Quiles, Elbert E. N. Macau
Community detection in complex networks via adapted Kuramoto dynamics. Commun. Nonlinear Sci. Numer. Simul. 53 (2017)
Alessandra Santana, Alessandra Marli M. Morais, Marcos G. Quiles
An alternative approach for binary and categorical self-organizing maps. IJCNN (2017)
Jeferson S. Santos, Ricardo Manhães Savii, Jaime S. Ide, Chiang-shan R. Li, Marcos G. Quiles, Márcio P. Basgalupp
Classification of Cocaine Dependents from fMRI Data Using Cluster-Based Stratification and Deep Learning. ICCSA (1) (2017)
Patricia Miquilini, Rafael Geraldeli Rossi, Marcos G. Quiles, Vinícius Veloso de Melo, Márcio P. Basgalupp
Automatically Design Distance Functions for Graph-Based Semi-Supervised Learning. TrustCom/BigDataSE/ICESS (2017)
Vinícius R. Máximo, Mariá C. V. Nascimento, Fabricio A. Breve, Marcos G. Quiles
Active Consensus-Based Semi-supervised Growing Neural Gas. ICONIP (2) (2016)
Alcides X. Benicasa, Marcos G. Quiles, Thiago C. Silva, Liang Zhao, Roseli A. F. Romero
An object-based visual selection framework. Neurocomputing 180 (2016)
João Eliakin Mota de Oliveira, Moshé Cotacallapa, Wilson Seron, Rafael Duarte Coelho dos Santos, Marcos G. Quiles
Sentiment and Behavior Analysis of One Controversial American Individual on Twitter. ICONIP (2) (2016)
João Eliakin Mota de Oliveira, Marcos G. Quiles, Marcos D. N. Maia, Elbert E. N. Macau
Community detection, with lower time complexity, using coupled Kuramoto oscillators. SAC (2015)
Fabricio A. Breve, Marcos G. Quiles, Liang Zhao
Interactive Image Segmentation of Non-contiguous Classes Using Particle Competition and Cooperation. ICCSA (1) (2015)
Jussara Dias, Marcos G. Quiles, Ana Carolina Lorena
Using Growing Neural Gas in Prototype Generation for Nearest Neighbor Classifiers. ICONIP (2) (2015)
Fabricio A. Breve, Liang Zhao, Marcos G. Quiles
Particle competition and cooperation for semi-supervised learning with label noise. Neurocomputing 160 (2015)
Wilson Seron, Ezequiel Roberto Zorzal, Marcos G. Quiles, Márcio P. Basgalupp, Fabricio A. Breve
#Worldcup2014 on Twitter. ICCSA (1) (2015)
Vinícius R. Máximo, Marcos G. Quiles, Mariá C. V. Nascimento
A consensus-based semi-supervised growing neural gas. IJCNN (2014)
Sandy M. Porto, Marcos G. Quiles
A Methodology for Generating Time-Varying Complex Networks with Community Structure. ICCSA (1) (2014)
João Eliakin Mota de Oliveira, Marcos G. Quiles
Community Detection in Complex Networks Using Coupled Kuramoto Oscillators. ICCSA (Workshops/Short Papers/Posters) (2014)
Ezequiel Roberto Zorzal, Celso André Rodrigues de Sousa, Alexandre Cardoso, Claudio Kirner, Edgard Afonso Lamounier, Marcos G. Quiles
Development of Adaptive Information Visualization Systems with Augmented Reality. IV (2014)
Alcides Xavier Benicasa, Marcos G. Quiles, Thiago C. Silva, Liang Zhao, Roseli A. Francelin Romero
An Object-Based Visual Selection Model Combining Physical Features and Memory. BRACIS (2014)
Marcos G. Quiles, Ezequiel R. Zorzal, Elbert E. N. Macau
A dynamical model for community detection in complex networks. IJCNN (2013)
Alcides Xavier Benicasa, Marcos G. Quiles, Liang Zhao, Roseli A. F. Romero
Top-Down Biasing and Modulation for Object-Based Visual Attention. ICONIP (3) (2013)
Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Witold Pedrycz, Jiming Liu
Particle Competition and Cooperation in Networks for Semi-Supervised Learning. IEEE Trans. Knowl. Data Eng. 24 (9) (2012)
Alcides X. Benicasa, Marcos G. Quiles, Liang Zhao, Roseli A. F. Romero
An Object-Based Visual Selection Model with Bottom-Up and Top-Down Modulations. SBRN (2012)
Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Marcos G. Quiles
Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm. J. Braz. Comput. Soc. 18 (4) (2012)
Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang
Selecting salient objects in real scenes: An oscillatory correlation model. Neural Networks 24 (1) (2011)
Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Witold Pedrycz, Jiming Liu
Particle Competition and Cooperation for Uncovering Network Overlap Community Structure. ISNN (3) (2011)
Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Márcio P. Basgalupp, Marcos G. Quiles
A clustering-based decision tree induction algorithm. ISDA (2011)
Fabricio A. Breve, Liang Zhao, Marcos G. Quiles
Semi-supervised learning from imperfect data through particle cooperation and competition. IJCNN (2010)
Marcos G. Quiles, Liang Zhao, Fabricio A. Breve, Anderson Rocha
Label propagation through neuronal synchrony. IJCNN (2010)
Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang
An oscillatory correlation model of object-based attention. IJCNN (2009)
Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Elbert E. N. Macau
Chaotic phase synchronization for visual selection. IJCNN (2009)
Fabricio A. Breve, Liang Zhao, Marcos G. Quiles
Uncovering Overlap Community Structure in Complex Networks Using Particle Competition. AICI (2009)
Fabricio A. Breve, Liang Zhao, Marcos G. Quiles
Particle Competition in Complex Networks for Semi-supervised Classification. Complex (1) (2009)
Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Elbert E. N. Macau
Chaotic phase synchronization and desynchronization in an oscillator network for object selection. Neural Networks 22 (5-6) (2009)
Marcos G. Quiles, Liang Zhao, Fabricio A. Breve, Roseli A. Francelin Romero
A network of integrate and fire neurons for visual selection. Neurocomputing 72 (10-12) (2009)
Marcos G. Quiles, Fabricio A. Breve, Roseli A. F. Romero, Liang Zhao
Visual Selection with Feature Contrast-Based Inhibition in a Network of Integrate and Fire Neurons. ICNC (3) (2008)
Liang Zhao, Fabricio A. Breve, Marcos G. Quiles, Roseli A. F. Romero
Visual Selection and Shifting Mechanisms Based on a Network of Chaotic Wilson-Cowan Oscillators. ICNC (5) (2007)
Marcos G. Quiles, Fabricio A. Breve, Liang Zhao, Roseli A. Francelin Romero
A Visual Selection Mechanism Based on Network of Chaotic Wilson-Cowan Oscillators. ISDA (2007)
Liang Zhao, Marcos G. Quiles, Antonio P. G. Damiance, Roseli A. Francelin Romero
A Network of Dynamically Coupled Elements for Pixel Clustering. IJCNN (2007)
Marcos G. Quiles, Liang Zhao, Roseli A. Francelin Romero
A Visual Selection Mechanism Based on a Pulse-Coupled Neural Network. IJCNN (2007)
Marcos G. Quiles, Roseli A. Francelin Romero, Liang Zhao
A Pulse-Coupled Neural Network as A Simplified Bottom-Up Visual Attention Model. SBRN (2006)