Marcos G. Quiles
Marcos G. Quiles
Associate Professor of Computer Science, Federal University of Sao Paulo
Verified email at
Cited by
Cited by
Particle competition and cooperation in networks for semi-supervised learning
F Breve, L Zhao, M Quiles, W Pedrycz, J Liu
IEEE Transactions on Knowledge and Data Engineering 24 (9), 1686-1698, 2011
Particle competition for complex network community detection
MG Quiles, L Zhao, RL Alonso, RAF Romero
Chaos: An Interdisciplinary Journal of Nonlinear Science 18 (3), 033107, 2008
Chaotic phase synchronization and desynchronization in an oscillator network for object selection
FA Breve, L Zhao, MG Quiles, EEN Macau
Neural Networks 22 (5-6), 728-737, 2009
Selecting salient objects in real scenes: An oscillatory correlation model
MG Quiles, DL Wang, L Zhao, RAF Romero, DS Huang
Neural Networks 24 (1), 54-64, 2011
Semi-supervised learning from imperfect data through particle cooperation and competition
FA Breve, L Zhao, MG Quiles
The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010
Fake news agenda in the era of COVID-19: Identifying trends through fact-checking content
W Ceron, MF de-Lima-Santos, MG Quiles
Online Social Networks and Media 21, 100116, 2021
Particle competition and cooperation for semi-supervised learning with label noise
FA Breve, L Zhao, MG Quiles
Neurocomputing 160, 63-72, 2015
Label propagation through neuronal synchrony
MG Quiles, L Zhao, FA Breve, A Rocha
The 2010 International Joint Conference on Neural Networks (IJCNN), 1-8, 2010
Artificial neural networks and the study of the psychoactivity of cannabinoid compounds
KM Honório, EF De Lima, MG Quiles, RAF Romero, FA Molfetta, ...
Chemical biology & drug design 75 (6), 632-640, 2010
Dynamical detection of network communities
MG Quiles, EEN Macau, N Rubido
Scientific reports 6 (1), 1-10, 2016
Machine learning prediction of nine molecular properties based on the SMILES representation of the QM9 quantum-chemistry dataset
GA Pinheiro, J Mucelini, MD Soares, RC Prati, JLF Da Silva, MG Quiles
The Journal of Physical Chemistry A 124 (47), 9854-9866, 2020
Community detection in complex networks via adapted Kuramoto dynamics
DMN Maia, JEM de Oliveira, MG Quiles, EEN Macau
Communications in Nonlinear Science and Numerical Simulation 53, 130-141, 2017
Uncovering overlap community structure in complex networks using particle competition
F Breve, L Zhao, M Quiles
International Conference on Artificial Intelligence and Computational …, 2009
Ab Initio Investigation of CO2 Adsorption on 13-Atom 4d Clusters
KEA Batista, VK Ocampo-Restrepo, MD Soares, MG Quiles, MJ Piotrowski, ...
Journal of chemical information and modeling 60 (2), 537-545, 2020
Ab Initio Insights into the Formation Mechanisms of 55-Atom Pt-Based Core–Shell Nanoalloys
PCD Mendes, SG Justo, J Mucelini, MD Soares, KEA Batista, MG Quiles, ...
The Journal of Physical Chemistry C 124 (1), 1158-1164, 2019
Machine learning systems based on xgBoost and MLP neural network applied in satellite lithium-ion battery sets impedance estimation
THR Donato, MG Quiles
Advanced Computational Intelligence: An International Journal (ACII) 5, 1-20, 2018
A network of integrate and fire neurons for visual selection
MG Quiles, L Zhao, FA Breve, RAF Romero
Neurocomputing 72 (10-12), 2198-2208, 2009
A computer vision system based on multi-layer perceptrons for controlling mobile robots
MG Quiles, RAF Romero
ABCM Symposium series in Mechatronics 2, 661-668, 2005
Spatiotemporal data analysis with chronological networks
LN Ferreira, DA Vega-Oliveros, M Cotacallapa, MF Cardoso, MG Quiles, ...
Nature communications 11 (1), 1-11, 2020
Interactive image segmentation using particle competition and cooperation
F Breve, MG Quiles, L Zhao
2015 international joint conference on neural networks (IJCNN), 1-8, 2015
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