Marcos G. Quiles
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
41
Venues
10
Active years
2007–2026
Best venue rank
C
Where they publish
Papers
41 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICCSA | Less is More: XAI-Driven Feature Selection for Efficient Molecular Property Prediction. | Jonas Lucas Duro, Lus G. Dias, Marcos G. Quiles |
| 2026 | ICCSA | A Compact QSAR Model for BRAF Inhibitors Based on Gaussian Process Regression. | Elisa Y. Toma, Marcos G. Quiles |
| 2024 | ICCSA | Applying LSTM Recurrent Neural Networks to Predict Revenue. | Luis Eduardo Pelin Cardoso, Andr C. P. L. F. de Carvalho, Marcos G. Quiles |
| 2024 | ICCSA | The 2018 Brazilian Presidential Run-Off: A Complex Network Analysis Approach Using Twitter Data. | Juliano E. C. Cruz, Marcos G. Quiles |
| 2024 | ICCSA | 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 |
| 2024 | ICCSA | Enhancing Explainability in Oral Cancer Detection with Grad-CAM Visualizations. | Arnaldo Vitor Barros da Silva, Cristina Saldivia-Siracusa, Eduardo Santos Carlos de Souza, Anna Luza Damaceno Arajo, Marcio Ajudarte Lopes, Pablo Agustin Vargas, Luiz Paulo Kowalski, Alan Roger Santos-Silva, Andr C. P. L. F. de Carvalho, Marcos G. Quiles |
| 2023 | ICCSA | Guided Clustering for Selecting Representatives Samples in Chemical Databases. | Felipe V. Calderan, Joo Paulo Almeida de Mendona, Juarez L. F. Da Silva, Marcos G. Quiles |
| 2023 | ICCSA | 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, Smia R. Garcia, Marcos G. Quiles |
| 2022 | ICMLA | 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 |
| 2020 | ICCSA | Dynamic Community Detection into Analyzing of Wildfires Events. | Alessandra M. M. M. Gouva, Didier A. Vega-Oliveros, Mosh Cotacallapa, Leonardo Nascimento Ferreira, Elbert E. N. Macau, Marcos G. Quiles |
| 2020 | ICCSA | 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 |
| 2020 | ICONIP | Monitoring Night Skies with Deep Learning. | Yuri Galindo, Marcelo De Cicco, Marcos G. Quiles, Ana Carolina Lorena |
| 2020 | IJCNN | Measuring the engagement level in encrypted group conversations by using temporal networks. | Mosh Cotacallapa, Lilian Berton, Leonardo Nascimento Ferreira, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau, Didier A. Vega-Oliveros |
| 2019 | ICCSA | Clustering Data Streams: A Complex Network Approach. | Sandy M. Porto, Marcos G. Quiles |
| 2019 | SAC | From spatio-temporal data to chronological networks: an application to wildfire analysis. | Didier Augusto Vega-Oliveros, Mosh Cotacallapa, Leonardo Nascimento Ferreira, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau, Manoel F. Cardoso |
| 2017 | ICCSA | Classification of Cocaine Dependents from fMRI Data Using Cluster-Based Stratification and Deep Learning. | Jeferson S. Santos, Ricardo Manhes Savii, Jaime S. Ide, Chiang-shan R. Li, Marcos G. Quiles, Mrcio P. Basgalupp |
| 2017 | IJCNN | An alternative approach for binary and categorical self-organizing maps. | Alessandra Santana, Alessandra Marli M. Morais, Marcos G. Quiles |
| 2017 | TrustCom | Automatically Design Distance Functions for Graph-Based Semi-Supervised Learning. | Patricia Miquilini, Rafael Geraldeli Rossi, Marcos G. Quiles, Vincius Veloso de Melo, Mrcio P. Basgalupp |
| 2016 | ICONIP | Active Consensus-Based Semi-supervised Growing Neural Gas. | Vincius R. Mximo, Mari C. V. Nascimento, Fabricio A. Breve, Marcos G. Quiles |
| 2016 | ICONIP | Sentiment and Behavior Analysis of One Controversial American Individual on Twitter. | Joo Eliakin Mota de Oliveira, Mosh Cotacallapa, Wilson Seron, Rafael Duarte Coelho dos Santos, Marcos G. Quiles |
| 2015 | ICCSA | Interactive Image Segmentation of Non-contiguous Classes Using Particle Competition and Cooperation. | Fabricio A. Breve, Marcos G. Quiles, Liang Zhao |
| 2015 | ICCSA | #Worldcup2014 on Twitter. | Wilson Seron, Ezequiel Roberto Zorzal, Marcos G. Quiles, Mrcio P. Basgalupp, Fabricio A. Breve |
| 2015 | ICONIP | Using Growing Neural Gas in Prototype Generation for Nearest Neighbor Classifiers. | Jussara Dias, Marcos G. Quiles, Ana Carolina Lorena |
| 2015 | SAC | Community detection, with lower time complexity, using coupled Kuramoto oscillators. | Joo Eliakin Mota de Oliveira, Marcos G. Quiles, Marcos D. N. Maia, Elbert E. N. Macau |
| 2014 | ICCSA | Community Detection in Complex Networks Using Coupled Kuramoto Oscillators. | Joo Eliakin Mota de Oliveira, Marcos G. Quiles |
| 2014 | ICCSA | A Methodology for Generating Time-Varying Complex Networks with Community Structure. | Sandy M. Porto, Marcos G. Quiles |
| 2014 | IJCNN | A consensus-based semi-supervised growing neural gas. | Vincius R. Mximo, Marcos G. Quiles, Mari C. V. Nascimento |
| 2014 | IV | Development of Adaptive Information Visualization Systems with Augmented Reality. | Ezequiel Roberto Zorzal, Celso Andr Rodrigues de Sousa, Alexandre Cardoso, Claudio Kirner, Edgard Afonso Lamounier, Marcos G. Quiles |
| 2013 | ICONIP | Top-Down Biasing and Modulation for Object-Based Visual Attention. | Alcides Xavier Benicasa, Marcos G. Quiles, Liang Zhao, Roseli A. F. Romero |
| 2013 | IJCNN | A dynamical model for community detection in complex networks. | Marcos G. Quiles, Ezequiel R. Zorzal, Elbert E. N. Macau |
| 2011 | ISDA | A clustering-based decision tree induction algorithm. | Rodrigo C. Barros, Andr Carlos Ponce de Leon Ferreira de Carvalho, Mrcio P. Basgalupp, Marcos G. Quiles |
| 2011 | ISNN | Particle Competition and Cooperation for Uncovering Network Overlap Community Structure. | Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Witold Pedrycz, Jiming Liu |
| 2010 | IJCNN | Semi-supervised learning from imperfect data through particle cooperation and competition. | Fabricio A. Breve, Liang Zhao, Marcos G. Quiles |
| 2010 | IJCNN | Label propagation through neuronal synchrony. | Marcos G. Quiles, Liang Zhao, Fabricio A. Breve, Anderson Rocha |
| 2009 | IJCNN | Chaotic phase synchronization for visual selection. | Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Elbert E. N. Macau |
| 2009 | IJCNN | An oscillatory correlation model of object-based attention. | Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang |
| 2008 | ICNC | 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 |
| 2007 | ICNC | 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 |
| 2007 | IJCNN | A Visual Selection Mechanism Based on a Pulse-Coupled Neural Network. | Marcos G. Quiles, Liang Zhao, Roseli A. Francelin Romero |
| 2007 | IJCNN | A Network of Dynamically Coupled Elements for Pixel Clustering. | Liang Zhao, Marcos G. Quiles, Antonio P. G. Damiance, Roseli A. Francelin Romero |
| 2007 | ISDA | A Visual Selection Mechanism Based on Network of Chaotic Wilson-Cowan Oscillators. | Marcos G. Quiles, Fabricio A. Breve, Liang Zhao, Roseli A. Francelin Romero |