Marcos G. Quiles

77 papers B 10C 4Misc 2Journal 31Unranked 30

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Mitigating Data Scarcity in Polymer Property Prediction via Multi-task Auxiliary Learning. ECML/PKDD (9) Gabriel A. Pinheiro, Marcos G. Quiles, Juarez L. F. Da Silva, Xiaoli Z. Fern
2024	—	`conf`	Applying LSTM Recurrent Neural Networks to Predict Revenue. ICCSA (2) Luis Eduardo Pelin Cardoso, André C. P. L. F. de Carvalho, Marcos G. Quiles
2024	—	`conf`	Enhancing Explainability in Oral Cancer Detection with Grad-CAM Visualizations. ICCSA (1) 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
2024	—	`conf`	Enhancing Low-Cost Molecular Property Prediction with Contrastive Learning on SMILES Representations. ICCSA (Workshops 9) Marcos G. Quiles, Piero A. L. Ribeiro, Gabriel A. Pinheiro, Ronaldo C. Prati, Juarez L. F. Da Silva
2024	—	`conf`	The 2018 Brazilian Presidential Run-Off: A Complex Network Analysis Approach Using Twitter Data. ICCSA (2) Juliano E. C. Cruz, Marcos G. Quiles
2024	J	`jnl`	The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling. J. Chem. Inf. Model. Ronaldo C. Prati, Bruno S. M. Rodrigues, Iberis Aragão, Thereza A. Soares, Marcos G. Quiles, Juarez L. F. Da Silva
2024	J	`jnl`	Visual political communication on Instagram: a comparative study of Brazilian presidential elections. EPJ Data Sci. Mathias-Felipe de-Lima-Santos, Isabella Gonçalves, Marcos G. Quiles, Lucia Mesquita, Wilson Ceron, Maria Clara Couto Lorena
2023	—	`conf`	Evaluation of Time Series Causal Detection Methods on the Influence of Pacific and Atlantic Ocean over Northeastern Brazil Precipitation. ICCSA (1) Juliano E. C. Cruz, Mary T. Kayano, Alan J. P. Calheiros, Sâmia R. Garcia, Marcos G. Quiles
2023	—	`conf`	Guided Clustering for Selecting Representatives Samples in Chemical Databases. ICCSA (Workshops 8) Felipe V. Calderan, João Paulo Almeida de Mendonça, Juarez L. F. Da Silva, Marcos G. Quiles
2023	J	`jnl`	Visual Political Communication in a Polarized Society: A Longitudinal Study of Brazilian Presidential Elections on Instagram. CoRR Mathias-Felipe de-Lima-Santos, Isabella Gonçalves, Marcos G. Quiles, Lucia Mesquita, Wilson Ceron
2022	—	`conf`	A convolutional LSTM neural network for precipitation nowcasting based on weather radar data. GEOINFO Aurelienne A. S. Jorge, Marcos G. Quiles, Izabelly C. Costa, Leonardo B. L. Santos
2022	J	`jnl`	Importance of Numerical Implementation and Clustering Analysis in Force-Directed Algorithms for Accurate Community Detection. Appl. Math. Comput. Alessandra M. M. M. Gouvêa, Nicolás Rubido, Elbert E. N. Macau, Marcos G. Quiles
2022	J	`jnl`	Molecular Property Prediction and Molecular Design Using a Supervised Grammar Variational Autoencoder. J. Chem. Inf. Model. André F. Oliveira, Juarez L. F. Da Silva, Marcos G. Quiles
2022	J	`jnl`	SMICLR: Contrastive Learning on Multiple Molecular Representations for Semisupervised and Unsupervised Representation Learning. J. Chem. Inf. Model. Gabriel A. Pinheiro, Juarez L. F. Da Silva, Marcos G. Quiles
2022	J	`jnl`	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. Alex S. Moraes, Gabriel A. Pinheiro, Tuanan C. Lourenço, Mauro C. Lopes, Marcos G. Quiles, Luis Gustavo Dias, Juarez L. F. Da Silva
2022	C	`conf`	The impact of low-cost molecular geometry optimization in property prediction via graph neural network. ICMLA Gabriel A. Pinheiro, Felipe V. Calderan, Juarez L. F. Da Silva, Marcos G. Quiles
2022	J	`jnl`	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. João Paulo Almeida de Mendonça, Felipe V. Calderan, Tuanan C. Lourenço, Marcos G. Quiles, Juarez L. F. Da Silva
2021	J	`jnl`	COVID-19 fake news diffusion across Latin America. Soc. Netw. Anal. Min. Wilson Ceron, Gabriela Gruszynski Sanseverino, Mathias-Felipe de-Lima-Santos, Marcos G. Quiles
2021	J	`jnl`	Correlation-Based Framework for Extraction of Insights from Quantum Chemistry Databases: Applications for Nanoclusters. J. Chem. Inf. Model. Johnatan Mucelini, Marcos G. Quiles, Ronaldo C. Prati, Juarez L. F. Da Silva
2021	J	`jnl`	Energy Decomposition to Access the Stability Changes Induced by CO Adsorption on Transition-Metal 13-Atom Clusters. J. Chem. Inf. Model. Krys E. A. Batista, Marinalva D. Soares, Marcos G. Quiles, Maurício J. Piotrowski, Juarez L. F. Da Silva
2021	J	`jnl`	Fake news agenda in the era of COVID-19: Identifying trends through fact-checking content. Online Soc. Networks Media Wilson Ceron, Mathias-Felipe de-Lima-Santos, Marcos G. Quiles
2021	J	`jnl`	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. Luis Cesar de Azevedo, Gabriel A. Pinheiro, Marcos G. Quiles, Juarez L. F. Da Silva, Ronaldo C. Prati
2020	—	`conf`	A Graph-Based Clustering Analysis of the QM9 Dataset via SMILES Descriptors. ICCSA (1) Gabriel A. Pinheiro, Juarez L. F. Da Silva, Marinalva D. Soares, Marcos G. Quiles
2020	J	`jnl`	Ab Initio Investigation of CO2 Adsorption on 13-Atom 4d Clusters. J. Chem. Inf. Model. Krys E. A. Batista, Vivianne K. Ocampo-Restrepo, Marinalva D. Soares, Marcos G. Quiles, Maurício J. Piotrowski, Juarez L. F. Da Silva
2020	J	`jnl`	Chaotic Phase Synchronization and Desynchronization in an Oscillator Network for Object Selection. CoRR Fabricio A. Breve, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau
2020	J	`jnl`	Chronnet: a network-based model for spatiotemporal data analysis. CoRR Leonardo Nascimento Ferreira, Didier Augusto Vega-Oliveros, Moshé Cotacallapa, Manoel F. Cardoso, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau
2020	J	`jnl`	Community Detection in Very High-Resolution Meteorological Networks. IEEE Geosci. Remote. Sens. Lett. Wilson Ceron, Leonardo B. L. Santos, Giovanni Dolif Neto, Marcos G. Quiles, Onofre A. Candido
2020	—	`conf`	Dynamic Community Detection into Analyzing of Wildfires Events. ICCSA (1) Alessandra M. M. M. Gouvêa, Didier A. Vega-Oliveros, Moshé Cotacallapa, Leonardo Nascimento Ferreira, Elbert E. N. Macau, Marcos G. Quiles
2020	J	`jnl`	Dynamic Community Detection into Analyzing of Wildfires Events. CoRR Alessandra Marli M. Morais, Didier A. Vega-Oliveros, Moshé Cotacallapa, Leonardo Nascimento Ferreira, Elbert E. N. Macau, Marcos G. Quiles
2020	J	`jnl`	Fake news agenda in the era of COVID-19: Identifying trends through fact-checking content. CoRR Wilson Ceron, Mathias-Felipe de-Lima-Santos, Marcos G. Quiles
2020	B	`conf`	Measuring the engagement level in encrypted group conversations by using temporal networks. IJCNN Moshé Cotacallapa, Lilian Berton, Leonardo Nascimento Ferreira, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau, Didier A. Vega-Oliveros
2020	—	`conf`	Monitoring Night Skies with Deep Learning. ICONIP (4) Yuri Galindo, Marcelo De Cicco, Marcos G. Quiles, Ana Carolina Lorena
2019	—	`conf`	Clustering Data Streams: A Complex Network Approach. ICCSA (1) Sandy M. Porto, Marcos G. Quiles
2019	Misc	`conf`	From spatio-temporal data to chronological networks: an application to wildfire analysis. SAC Didier Augusto Vega-Oliveros, Moshé Cotacallapa, Leonardo Nascimento Ferreira, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau, Manoel F. Cardoso
2019	J	`jnl`	How do urban mobility (geo)graph's topological properties fill a map? Appl. Netw. Sci. Leonardo Bacelar Lima Santos, Luiz Max Carvalho, Wilson Seron, Flávio Codeço Coelho, Elbert E. N. Macau, Marcos G. Quiles, Antônio Miguel Vieira Monteiro
2018	J	`jnl`	An approach for applying Test-Driven Development (TDD) in the development of randomized algorithms. J. Softw. Eng. Res. Dev. André A. S. Ivo, Eduardo M. Guerra, Sandy M. Porto, Joelma Choma, Marcos G. Quiles
2018	J	`jnl`	From spatio-temporal data to chronological networks: An application to wildfire analysis. CoRR Didier Augusto Vega-Oliveros, Moshé Cotacallapa, Leonardo Nascimento Ferreira, Marcos G. Quiles, Liang Zhao, Elbert E. N. Macau, Manoel F. Cardoso
2018	J	`jnl`	Recurrence Density Enhanced Complex Networks for Nonlinear Time Series Analysis. Int. J. Bifurc. Chaos Diego G. de B. Costa, Barbara M. da F. Reis, Yong Zou, Marcos G. Quiles, Elbert E. N. Macau
2017	B	`conf`	An alternative approach for binary and categorical self-organizing maps. IJCNN Alessandra Santana, Alessandra Marli M. Morais, Marcos G. Quiles
2017	—	`conf`	Automatically Design Distance Functions for Graph-Based Semi-Supervised Learning. TrustCom/BigDataSE/ICESS Patricia Miquilini, Rafael Geraldeli Rossi, Marcos G. Quiles, Vinícius Veloso de Melo, Márcio P. Basgalupp
2017	—	`conf`	Classification of Cocaine Dependents from fMRI Data Using Cluster-Based Stratification and Deep Learning. ICCSA (1) Jeferson S. Santos, Ricardo Manhães Savii, Jaime S. Ide, Chiang-shan R. Li, Marcos G. Quiles, Márcio P. Basgalupp
2017	J	`jnl`	Community detection in complex networks via adapted Kuramoto dynamics. Commun. Nonlinear Sci. Numer. Simul. Daniel M. N. Maia, João Eliakin Mota de Oliveira, Marcos G. Quiles, Elbert E. N. Macau
2016	—	`conf`	Active Consensus-Based Semi-supervised Growing Neural Gas. ICONIP (2) Vinícius R. Máximo, Mariá C. V. Nascimento, Fabricio A. Breve, Marcos G. Quiles
2016	J	`jnl`	An object-based visual selection framework. Neurocomputing Alcides X. Benicasa, Marcos G. Quiles, Thiago C. Silva, Liang Zhao, Roseli A. F. Romero
2016	—	`conf`	Sentiment and Behavior Analysis of One Controversial American Individual on Twitter. ICONIP (2) João Eliakin Mota de Oliveira, Moshé Cotacallapa, Wilson Seron, Rafael Duarte Coelho dos Santos, Marcos G. Quiles
2015	—	`conf`	#Worldcup2014 on Twitter. ICCSA (1) Wilson Seron, Ezequiel Roberto Zorzal, Marcos G. Quiles, Márcio P. Basgalupp, Fabricio A. Breve
2015	Misc	`conf`	Community detection, with lower time complexity, using coupled Kuramoto oscillators. SAC João Eliakin Mota de Oliveira, Marcos G. Quiles, Marcos D. N. Maia, Elbert E. N. Macau
2015	—	`conf`	Interactive Image Segmentation of Non-contiguous Classes Using Particle Competition and Cooperation. ICCSA (1) Fabricio A. Breve, Marcos G. Quiles, Liang Zhao
2015	J	`jnl`	Particle competition and cooperation for semi-supervised learning with label noise. Neurocomputing Fabricio A. Breve, Liang Zhao, Marcos G. Quiles
2015	—	`conf`	Using Growing Neural Gas in Prototype Generation for Nearest Neighbor Classifiers. ICONIP (2) Jussara Dias, Marcos G. Quiles, Ana Carolina Lorena
2014	—	`conf`	A Methodology for Generating Time-Varying Complex Networks with Community Structure. ICCSA (1) Sandy M. Porto, Marcos G. Quiles
2014	B	`conf`	A consensus-based semi-supervised growing neural gas. IJCNN Vinícius R. Máximo, Marcos G. Quiles, Mariá C. V. Nascimento
2014	—	`conf`	An Object-Based Visual Selection Model Combining Physical Features and Memory. BRACIS Alcides Xavier Benicasa, Marcos G. Quiles, Thiago C. Silva, Liang Zhao, Roseli A. Francelin Romero
2014	—	`conf`	Community Detection in Complex Networks Using Coupled Kuramoto Oscillators. ICCSA (Workshops/Short Papers/Posters) João Eliakin Mota de Oliveira, Marcos G. Quiles
2014	C	`conf`	Development of Adaptive Information Visualization Systems with Augmented Reality. IV Ezequiel Roberto Zorzal, Celso André Rodrigues de Sousa, Alexandre Cardoso, Claudio Kirner, Edgard Afonso Lamounier, Marcos G. Quiles
2013	B	`conf`	A dynamical model for community detection in complex networks. IJCNN Marcos G. Quiles, Ezequiel R. Zorzal, Elbert E. N. Macau
2013	—	`conf`	Top-Down Biasing and Modulation for Object-Based Visual Attention. ICONIP (3) Alcides Xavier Benicasa, Marcos G. Quiles, Liang Zhao, Roseli A. F. Romero
2012	—	`conf`	An Object-Based Visual Selection Model with Bottom-Up and Top-Down Modulations. SBRN Alcides X. Benicasa, Marcos G. Quiles, Liang Zhao, Roseli A. F. Romero
2012	J	`jnl`	Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm. J. Braz. Comput. Soc. Rodrigo C. Barros, Márcio P. Basgalupp, André Carlos Ponce de Leon Ferreira de Carvalho, Marcos G. Quiles
2012	J	`jnl`	Particle Competition and Cooperation in Networks for Semi-Supervised Learning. IEEE Trans. Knowl. Data Eng. Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Witold Pedrycz, Jiming Liu
2011	C	`conf`	A clustering-based decision tree induction algorithm. ISDA Rodrigo C. Barros, André Carlos Ponce de Leon Ferreira de Carvalho, Márcio P. Basgalupp, Marcos G. Quiles
2011	—	`conf`	Particle Competition and Cooperation for Uncovering Network Overlap Community Structure. ISNN (3) Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Witold Pedrycz, Jiming Liu
2011	J	`jnl`	Selecting salient objects in real scenes: An oscillatory correlation model. Neural Networks Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang
2010	B	`conf`	Label propagation through neuronal synchrony. IJCNN Marcos G. Quiles, Liang Zhao, Fabricio A. Breve, Anderson Rocha
2010	B	`conf`	Semi-supervised learning from imperfect data through particle cooperation and competition. IJCNN Fabricio A. Breve, Liang Zhao, Marcos G. Quiles
2009	J	`jnl`	A network of integrate and fire neurons for visual selection. Neurocomputing Marcos G. Quiles, Liang Zhao, Fabricio A. Breve, Roseli A. Francelin Romero
2009	B	`conf`	An oscillatory correlation model of object-based attention. IJCNN Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang
2009	J	`jnl`	Chaotic phase synchronization and desynchronization in an oscillator network for object selection. Neural Networks Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Elbert E. N. Macau
2009	B	`conf`	Chaotic phase synchronization for visual selection. IJCNN Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Elbert E. N. Macau
2009	—	`conf`	Particle Competition in Complex Networks for Semi-supervised Classification. Complex (1) Fabricio A. Breve, Liang Zhao, Marcos G. Quiles
2009	—	`conf`	Uncovering Overlap Community Structure in Complex Networks Using Particle Competition. AICI Fabricio A. Breve, Liang Zhao, Marcos G. Quiles
2008	—	`conf`	Visual Selection with Feature Contrast-Based Inhibition in a Network of Integrate and Fire Neurons. ICNC (3) Marcos G. Quiles, Fabricio A. Breve, Roseli A. F. Romero, Liang Zhao
2007	B	`conf`	A Network of Dynamically Coupled Elements for Pixel Clustering. IJCNN Liang Zhao, Marcos G. Quiles, Antonio P. G. Damiance, Roseli A. Francelin Romero
2007	C	`conf`	A Visual Selection Mechanism Based on Network of Chaotic Wilson-Cowan Oscillators. ISDA Marcos G. Quiles, Fabricio A. Breve, Liang Zhao, Roseli A. Francelin Romero
2007	B	`conf`	A Visual Selection Mechanism Based on a Pulse-Coupled Neural Network. IJCNN Marcos G. Quiles, Liang Zhao, Roseli A. Francelin Romero
2007	—	`conf`	Visual Selection and Shifting Mechanisms Based on a Network of Chaotic Wilson-Cowan Oscillators. ICNC (5) Liang Zhao, Fabricio A. Breve, Marcos G. Quiles, Roseli A. F. Romero
2006	—	`conf`	A Pulse-Coupled Neural Network as A Simplified Bottom-Up Visual Attention Model. SBRN Marcos G. Quiles, Roseli A. Francelin Romero, Liang Zhao