Marcos G. Quiles

Cited by

	All	Since 2020
Citations	1388	868
h-index	20	14
i10-index	35	23

220

110

165

2009201020112012201320142015201620172018201920202021202220232024202522 32 28 37 48 41 65 61 52 54 58 91 141 191 192 213 34

Public access

View all

22 articles

3 articles

available

not available

Based on funding mandates

Co-authors

Liang ZhaoProfessor of Computer Science, University of Sao PauloVerified email at usp.br
Juarez L. F. Da SilvaUniversity of São Paulo (USP), São Carlos Institute of Chemistry (IQSC), São Carlos, SP, BrazilVerified email at iqsc.usp.br
Fabricio BreveAssociate Professor, UNESP - Universidade Estadual Paulista "Júlio de Mesquita Filho"Verified email at unesp.br
Roseli Aparecida Francelin RomeroDepartamento de Ciências de Computação - ICMC - USPVerified email at ICMC.USP.BR
Wilson CeronFederal University of São PauloVerified email at unifesp.br
Ronaldo C. PratiAssociate Professor of Computer Science, Universidade Federal do ABCVerified email at ufabc.edu.br
Gabriel A PinheiroPhD in Computer Science at Federal University of São PauloVerified email at unifesp.br
Mathias-Felipe de-Lima-SantosMacquarie UniversityVerified email at mq.edu.au
Márcio P. BasgaluppAssociate Professor at UNIFESPVerified email at unifesp.br
Leonardo Bacelar Lima SantosPesquisador do Cemaden - Centro Nacional de Monitoramento e Alertas de Desastres NaturaisVerified email at cemaden.gov.br
Leonardo Nascimento FerreiraSamsung Research BrazilVerified email at leonardonascimento.com
Didier Augusto Vega-OliverosResearch collaborator at the Center for Complex Networks and Systems Research at Indiana UniversityVerified email at indiana.edu
Rodrigo Coelho BarrosDirector of Research at Teia Labs, Associate Professor at PUCRSVerified email at pucrs.br
Nicolás RubidoUniversity of Aberdeen, King's College, Institute for Complex Systems and Mathematical BiologyVerified email at abdn.ac.uk
André F. OliveiraNational Institute for Space ResearchVerified email at inpe.br
Dr. Anderson Rocha (Full-Professor)University of Campinas (Unicamp), Campinas, SP, BrazilVerified email at unicamp.br
Tiago Silva da SilvaICT-UNIFESPVerified email at unifesp.br
Ana Carolina LorenaInstituto Tecnológico de AeronáuticaVerified email at ita.br

Marcos G. Quiles

Associate Professor of Computer Science, Federal University of Sao Paulo

Verified email at unifesp.br - Homepage

Machine Learning and Complex Networks


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	139	2021
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	119	2011
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	115	2020
Particle competition for complex network community detection MG Quiles, L Zhao, RL Alonso, RAF Romero Chaos: An Interdisciplinary Journal of Nonlinear Science 18 (3), 2008	80	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	63	2009
COVID-19 fake news diffusion across Latin America W Ceron, G Gruszynski Sanseverino, MF de-Lima-Santos, MG Quiles Social Network Analysis and Mining 11 (1), 47, 2021	61	2021
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	38	2011
SMICLR: contrastive learning on multiple molecular representations for semisupervised and unsupervised representation learning GA Pinheiro, JLF Da Silva, MG Quiles Journal of Chemical Information and Modeling 62 (17), 3948-3960, 2022	35	2022
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	35	2010
Spatiotemporal data analysis with chronological networks LN Ferreira, DA Vega-Oliveros, M Cotacallapa, MF Cardoso, MG Quiles, ... Nature communications 11 (1), 4036, 2020	32	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	32	2019
The wild sugarcane and sorghum kinomes: Insights into expansion, diversification, and expression patterns AH Aono, RJG Pimenta, ALB Garcia, FH Correr, GK Hosaka, ... Frontiers in Plant Science 12, 668623, 2021	30	2021
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	30	2020
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	28	2010
Molecular property prediction and molecular design using a supervised grammar variational autoencoder AF Oliveira, JLF Da Silva, MG Quiles Journal of Chemical Information and Modeling 62 (4), 817-828, 2022	24	2022
Particle competition and cooperation for semi-supervised learning with label noise FA Breve, L Zhao, MG Quiles Neurocomputing 160, 63-72, 2015	24	2015
Dynamical detection of network communities MG Quiles, EEN Macau, N Rubido Scientific reports 6 (1), 25570, 2016	23	2016
A biochemical network modeling of a whole-cell PEP Burke, CBL Campos, LF Costa, MG Quiles Scientific reports 10 (1), 13303, 2020	20	2020
Community detection in very high-resolution meteorological networks W Ceron, LBL Santos, GD Neto, MG Quiles, OA Candido IEEE Geoscience and Remote Sensing Letters 17 (11), 2007-2010, 2019	20	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	20	2018

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors