Marcos G. Quiles
Orcid: 0000-0001-8147-554X
According to our database1,
Marcos G. Quiles
authored at least 75 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling.
J. Chem. Inf. Model., February, 2024
2023
Visual Political Communication in a Polarized Society: A Longitudinal Study of Brazilian Presidential Elections on Instagram.
CoRR, 2023
Evaluation of Time Series Causal Detection Methods on the Influence of Pacific and Atlantic Ocean over Northeastern Brazil Precipitation.
Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023
Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023
2022
SMICLR: Contrastive Learning on Multiple Molecular Representations for Semisupervised and Unsupervised Representation Learning.
J. Chem. Inf. Model., 2022
Molecular Property Prediction and Molecular Design Using a Supervised Grammar Variational Autoencoder.
J. Chem. Inf. Model., 2022
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., 2022
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., 2022
Importance of Numerical Implementation and Clustering Analysis in Force-Directed Algorithms for Accurate Community Detection.
Appl. Math. Comput., 2022
The impact of low-cost molecular geometry optimization in property prediction via graph neural network.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
A convolutional LSTM neural network for precipitation nowcasting based on weather radar data.
Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022
2021
Fake news agenda in the era of COVID-19: Identifying trends through fact-checking content.
Online Soc. Networks Media, 2021
Correlation-Based Framework for Extraction of Insights from Quantum Chemistry Databases: Applications for Nanoclusters.
J. Chem. Inf. Model., 2021
Energy Decomposition to Access the Stability Changes Induced by CO Adsorption on Transition-Metal 13-Atom Clusters.
J. Chem. Inf. Model., 2021
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., 2021
2020
IEEE Geosci. Remote. Sens. Lett., 2020
J. Chem. Inf. Model., 2020
Measuring the engagement level in encrypted group conversations by using temporal networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
2019
Appl. Netw. Sci., 2019
From spatio-temporal data to chronological networks: an application to wildfire analysis.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019
Improving the Performance of an Integer Linear Programming Community Detection Algorithm Through Clique Filtering.
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019
2018
An approach for applying Test-Driven Development (TDD) in the development of randomized algorithms.
J. Softw. Eng. Res. Dev., 2018
J. Intell. Fuzzy Syst., 2018
Int. J. Bifurc. Chaos, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
2017
Commun. Nonlinear Sci. Numer. Simul., 2017
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017
Proceedings of the 2017 International Symposium on Computer Architecture and High Performance Computing Workshops, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Classification of Cocaine Dependents from fMRI Data Using Cluster-Based Stratification and Deep Learning.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017
2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2015
Neurocomputing, 2015
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015
Interactive Image Segmentation of Non-contiguous Classes Using Particle Competition and Cooperation.
Proceedings of the Computational Science and Its Applications - ICCSA 2015, 2015
2014
Proceedings of the 18th International Conference on Information Visualisation, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014
Proceedings of the 2014 14th International Conference on Computational Science and Its Applications, Guimaraes, Portugal, June 30, 2014
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014
2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the Neural Information Processing - 20th International Conference, 2013
2012
IEEE Trans. Knowl. Data Eng., 2012
Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm.
J. Braz. Comput. Soc., 2012
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012
2011
Neural Networks, 2011
Particle Competition and Cooperation for Uncovering Network Overlap Community Structure.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Semi-supervised learning from imperfect data through particle cooperation and competition.
Proceedings of the International Joint Conference on Neural Networks, 2010
2009
Chaotic phase synchronization and desynchronization in an oscillator network for object selection.
Neural Networks, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Proceedings of the Complex Sciences, 2009
Uncovering Overlap Community Structure in Complex Networks Using Particle Competition.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2009
2008
Visual Selection with Feature Contrast-Based Inhibition in a Network of Integrate and Fire Neurons.
Proceedings of the Fourth International Conference on Natural Computation, 2008
2007
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Visual Selection and Shifting Mechanisms Based on a Network of Chaotic Wilson-Cowan Oscillators.
Proceedings of the Third International Conference on Natural Computation, 2007
2006
Proceedings of the SBRN 2006, 2006