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2020 – today
- 2024
[j25]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): 1107-1111 (2024)- [c51]Juliano E. C. Cruz, Marcos G. Quiles:
The 2018 Brazilian Presidential Run-Off: A Complex Network Analysis Approach Using Twitter Data. ICCSA (2) 2024: 133-150 - [c50]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: 151-164 - [c49]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: 198-212 - [c48]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: 387-401 - 2023
- [c47]Felipe V. Calderan, João Paulo Almeida de Mendonça, Juarez L. F. Da Silva, Marcos G. Quiles:
Guided Clustering for Selecting Representatives Samples in Chemical Databases. ICCSA (Workshops 8) 2023: 133-149 - [c46]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: 422-439 - [i7]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 abs/2310.00349 (2023) - 2022
- [j24]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: 127310 (2022) - [j23]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): 817-828 (2022) - [j22]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): 3948-3960 (2022) - [j21]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): 4702-4712 (2022) - [j20]João Paulo Almeida 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): 5503-5512 (2022) - [c45]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: 384-388 - [c44]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: 603-608 - 2021
- [j19]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): 1125-1135 (2021) - [j18]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): 2294-2301 (2021) - [j17]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): 4210-4223 (2021) - [j16]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: 100116 (2021) - [j15]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): 47 (2021) - 2020
- [j14]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): 537-545 (2020) - [j13]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): 2007-2010 (2020) - [c43]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: 421-433 - [c42]Alessandra M. M. M. Gouvêa, Didier A. Vega-Oliveros, Moshé Cotacallapa, Leonardo Nascimento Ferreira, Elbert E. N. Macau, Marcos G. Quiles:
Dynamic Community Detection into Analyzing of Wildfires Events. ICCSA (1) 2020: 1032-1047 - [c41]Yuri Galindo, Marcelo De Cicco, Marcos G. Quiles, Ana Carolina Lorena:
Monitoring Night Skies with Deep Learning. ICONIP (4) 2020: 460-468 - [c40]Moshé Cotacallapa, Lilian Berton, Leonardo Nascimento 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: 1-8 - [i6]Fabricio Aparecido Breve, Liang Zhao, Marcos Gonçalves Quiles:
Particle Competition and Cooperation for Semi-Supervised Learning with Label Noise. CoRR abs/2002.05198 (2020) - [i5]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 abs/2002.05493 (2020) - [i4]Leonardo Nascimento 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 abs/2004.11483 (2020) - [i3]Alessandra Marli M. Morais, Didier A. Vega-Oliveros, Moshé Cotacallapa, Leonardo Nascimento Ferreira, Elbert E. N. Macau, Marcos G. Quiles:
Dynamic Community Detection into Analyzing of Wildfires Events. CoRR abs/2011.01140 (2020) - [i2]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 abs/2012.11004 (2020)
2010 – 2019
- 2019
- [j12]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): 91:1-91:14 (2019) - [c39]Sandy M. Porto, Marcos G. Quiles:
Clustering Data Streams: A Complex Network Approach. ICCSA (1) 2019: 52-65 - [c38]Luiz Henrique Nogueira Lorena, Marcos Gonçalves Quiles, Luiz Antonio Nogueira Lorena:
Improving the Performance of an Integer Linear Programming Community Detection Algorithm Through Clique Filtering. ICCSA (1) 2019: 757-769 - [c37]Luiz Henrique Nogueira Lorena, Marcos Gonçalves Quiles, Luiz Antonio Nogueira Lorena, André C. P. L. F. de Carvalho, Juliana Garcia Cespedes:
Qualitative data clustering: a new Integer Linear Programming model. IJCNN 2019: 1-8 - [c36]Didier Augusto Vega-Oliveros, Moshé Cotacallapa, Leonardo Nascimento 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: 675-682 - 2018
- [j11]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): 1850008:1-1850008:12 (2018) - [j10]Elder Donizetti dos Santos, Marcos Gonçalves Quiles, Fábio Augusto Faria:
A correlation-based approach for event detection in Instagram. J. Intell. Fuzzy Syst. 34(5): 2971-2982 (2018) - [j9]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: 9 (2018) - [c35]Luiz Henrique Nogueira Lorena, Marcos Gonçalves Quiles, André Carlos Ponce de Leon Ferreira de Carvalho, Luiz Antonio Nogueira Lorena:
Preprocessing Technique for Cluster Editing via Integer Linear Programming. ICIC (1) 2018: 287-297 - [i1]Didier Augusto Vega-Oliveros, Moshé Cotacallapa, Leonardo Nascimento 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 abs/1812.01646 (2018) - 2017
- [j8]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: 130-141 (2017) - [c34]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: 298-313 - [c33]Alessandra Santana, Alessandra Marli M. Morais, Marcos G. Quiles:
An alternative approach for binary and categorical self-organizing maps. IJCNN 2017: 2604-2610 - [c32]Hugo Resende, Alvaro Luiz Fazenda, Marcos Gonçalves Quiles:
Parallel Algorithm for Dynamic Community Detection. SBAC-PAD (Workshops) 2017: 55-60 - [c31]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: 933-940 - 2016
- [j7]Alcides X. Benicasa, Marcos G. Quiles, Thiago C. Silva, Liang Zhao, Roseli A. F. Romero:
An object-based visual selection framework. Neurocomputing 180: 35-54 (2016) - [c30]Vinícius R. Máximo, Mariá C. V. Nascimento, Fabricio A. Breve, Marcos G. Quiles:
Active Consensus-Based Semi-supervised Growing Neural Gas. ICONIP (2) 2016: 126-135 - [c29]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: 509-518 - 2015
- [j6]Fabricio A. Breve, Liang Zhao, Marcos G. Quiles:
Particle competition and cooperation for semi-supervised learning with label noise. Neurocomputing 160: 63-72 (2015) - [c28]Fabricio A. Breve, Marcos G. Quiles, Liang Zhao:
Interactive Image Segmentation of Non-contiguous Classes Using Particle Competition and Cooperation. ICCSA (1) 2015: 203-216 - [c27]Wilson Seron, Ezequiel Roberto Zorzal, Marcos G. Quiles, Márcio P. Basgalupp, Fabricio A. Breve:
#Worldcup2014 on Twitter. ICCSA (1) 2015: 447-458 - [c26]Jussara Dias, Marcos G. Quiles, Ana Carolina Lorena:
Using Growing Neural Gas in Prototype Generation for Nearest Neighbor Classifiers. ICONIP (2) 2015: 276-283 - [c25]Fabricio A. Breve, Marcos Gonçalves Quiles, Liang Zhao:
Interactive image segmentation using particle competition and cooperation. IJCNN 2015: 1-8 - [c24]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: 1160-1166 - 2014
- [c23]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: 234-240 - [c22]João Eliakin Mota de Oliveira, Marcos G. Quiles:
Community Detection in Complex Networks Using Coupled Kuramoto Oscillators. ICCSA (Workshops/Short Papers/Posters) 2014: 85-90 - [c21]Sandy M. Porto, Marcos G. Quiles:
A Methodology for Generating Time-Varying Complex Networks with Community Structure. ICCSA (1) 2014: 344-359 - [c20]Alessandra Marli M. Morais, Marcos Gonçalves Quiles, Rafael D. C. Santos:
Icon and Geometric Data Visualization with a Self-Organizing Map Grid. ICCSA (6) 2014: 562-575 - [c19]Vinícius R. Máximo, Marcos G. Quiles, Mariá C. V. Nascimento:
A consensus-based semi-supervised growing neural gas. IJCNN 2014: 2019-2026 - [c18]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: 211-216 - 2013
- [c17]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: 325-332 - [c16]Marcos G. Quiles, Ezequiel R. Zorzal, Elbert E. N. Macau:
A dynamical model for community detection in complex networks. IJCNN 2013: 1-8 - 2012
- [j5]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): 351-362 (2012) - [j4]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): 1686-1698 (2012) - [c15]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: 238-243 - 2011
- [j3]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): 54-64 (2011) - [c14]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: 543-550 - [c13]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: 426-433 - 2010
- [c12]Fabricio A. Breve, Liang Zhao, Marcos G. Quiles:
Semi-supervised learning from imperfect data through particle cooperation and competition. IJCNN 2010: 1-8 - [c11]Marcos G. Quiles, Liang Zhao, Fabricio A. Breve, Anderson Rocha:
Label propagation through neuronal synchrony. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [b1]Marcos Gonçalves Quiles:
Networks with spatio temporal dynamics in computer sciences. University of São Paulo, Brazil, 2009 - [j2]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): 2198-2208 (2009) - [j1]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): 728-737 (2009) - [c10]Fabricio A. Breve, Liang Zhao, Marcos G. Quiles:
Uncovering Overlap Community Structure in Complex Networks Using Particle Competition. AICI 2009: 619-628 - [c9]Fabricio A. Breve, Liang Zhao, Marcos G. Quiles:
Particle Competition in Complex Networks for Semi-supervised Classification. Complex (1) 2009: 163-174 - [c8]Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Elbert E. N. Macau:
Chaotic phase synchronization for visual selection. IJCNN 2009: 383-390 - [c7]Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang:
An oscillatory correlation model of object-based attention. IJCNN 2009: 2596-2602 - 2008
- [c6]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: 601-605 - 2007
- [c5]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: 754-762 - [c4]Marcos G. Quiles, Liang Zhao, Roseli A. Francelin Romero:
A Visual Selection Mechanism Based on a Pulse-Coupled Neural Network. IJCNN 2007: 1566-1571 - [c3]Liang Zhao, Marcos G. Quiles, Antonio P. G. Damiance, Roseli A. Francelin Romero:
A Network of Dynamically Coupled Elements for Pixel Clustering. IJCNN 2007: 2770-2775 - [c2]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: 919-924 - 2006
- [c1]Marcos G. Quiles, Roseli A. Francelin Romero, Liang Zhao:
A Pulse-Coupled Neural Network as A Simplified Bottom-Up Visual Attention Model. SBRN 2006: 178-183
Coauthor Index
Fabricio A. Breve
aka: Fabricio Aparecido Breve
aka: Fabricio Aparecido Breve
André C. P. L. F. de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: André Carlos Ponce de Leon Ferreira de Carvalho
Roseli A. Francelin Romero
aka: Roseli A. F. Romero
aka: Roseli A. F. Romero
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