Gladston J. P. Moreira

According to our database, Gladston J. P. Moreira authored at least 40 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bridging the Gap in ECG Classification: Integrating Self-supervised Learning with Human-in-the-Loop Amid Medical Equipment Hardware Constraints.

Guilherme Silva, Pedro Silva, Gladston Moreira, Eduardo Luz

Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2024

2023

Regularization Through Simultaneous Learning: A Case Study for Hop Classification.

Pedro Henrique Nascimento Castro, Gabriel Cássia Fortuna, Rafael Alves Bonfim de Queiroz, Gladston Juliano Prates Moreira, Eduardo José da Silva Luz

CoRR, 2023

Reptilerecon: Um Arcabouço para Extração e Análise de Sinais de Lagartos.

João Gabriel Fernandes Zenóbio, Pedro Henrique Lopes Silva, Eduardo José da Silva Luz, Gladston Juliano Prates Moreira, Conrado Aleksander Barbosa Galdino, Jadson Castro Gertrudes

Proceedings of the 38th Brazilian Symposium on Databases, 2023

Correlations Between Epidemiological Time Series Forecasting and Influence Regions of Brazilian Cities.

Fernando H. O. Duarte, Vander L. S. Freitas, Gladston Moreira, Eduardo Luz, Leonardo B. L. Santos

Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

Physicochemical Properties for Promoter Classification.

Lauro Moraes, Eduardo José da S. Luz, Gladston Moreira

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

Time Series Forecasting of COVID-19 Cases in Brazil with GNN and Mobility Networks.

Fernando Henrique Oliveira Duarte, Gladston J. P. Moreira, Eduardo José da S. Luz, Leonardo B. L. Santos, Vander L. S. Freitas

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

Merging Traditional Feature Extraction and Deep Learning for Enhanced Hop Variety Classification: A Comparative Study Using the UFOP-HVD Dataset.

Pedro Henrique Nascimento Castro, Gabriel Cássia Fortuna, Pedro Silva, Andrea G. C. Bianchi, Gladston Moreira, Eduardo José da S. Luz

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022

Multi-objective approach for multiple clusters detection in data points events.

Emerson C. Bodevan, Luiz Henrique Duczmal, Anderson Ribeiro Duarte, Pedro H. L. Silva, Gladston J. P. Moreira

Commun. Stat. Simul. Comput., 2022

CapsProm: a capsule network for promoter prediction.

Lauro Moraes, Pedro Silva, Eduardo Luz, Gladston Moreira

Comput. Biol. Medicine, 2022

A Decidability-Based Loss Function.

Pedro Silva, Gladston Moreira, Vander L. S. Freitas, Rodrigo César Pedrosa Silva, David Menotti, Eduardo Luz

Proceedings of the International Joint Conference on Neural Networks, 2022

An Efficient Contact Lens Spoofing Classification.

Guilherme Silva, Pedro H. L. Silva, Mariana R. F. Mota, Eduardo Luz, Gladston Moreira

Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

Deep Learning-Based COVID-19 Screening Using Photographs of Chest X-Rays Displayed in Computer Monitors.

Pedro Silva, Eduardo Luz, Larissa Silva, Caio Gonçalves, Dênis Oliveira, Rodrigo C. P. Silva, Gladston Moreira

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021

A deep descriptor for cross-tasking EEG-based recognition.

Mariana R. F. Mota, Pedro H. L. Silva, Eduardo José da S. Luz, Gladston J. P. Moreira, Thiago Schons, Lauro Moraes, David Menotti

PeerJ Comput. Sci., 2021

A Deep Learning Ensemble Method to Assist Cytopathologists in Pap Test Image Classification.

Débora Nasser Diniz, Mariana T. Rezende, Andrea G. C. Bianchi, Cláudia M. Carneiro, Eduardo José da Silva Luz, Gladston J. P. Moreira, Daniela M. Ushizima, Fátima N. S. de Medeiros, Marcone J. F. Souza

J. Imaging, 2021

Spatial cluster analysis using particle swarm optimization and dispersion function.

Dênis Ricardo Xavier de Oliveira, Gladston Moreira, Anderson Ribeiro Duarte, André Luiz Fernandes Cançado, Eduardo Luz

Commun. Stat. Simul. Comput., 2021

Nonparametric dependence modeling via cluster analysis: A financial contagion application.

Ricardo F. Couto, Luiz Henrique Duczmal, Denise Burgarelli, Felipe Álvares, Gladston J. P. Moreira

Commun. Stat. Simul. Comput., 2021

2020

Towards an Effective and Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images.

Eduardo José da S. Luz, Pedro Henrique Lopes Silva, Rodrigo César Pedrosa Silva, Ludmila Silva, Gladston Moreira, David Menotti

CoRR, 2020

A Novel Formulation for Multi-objective optimization of General Finite Single-Server Queueing Networks.

Gabriel L. Souza, Anderson Ribeiro Duarte, Gladston J. P. Moreira, Frederico R. B. Cruz

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Chimerical Dataset Creation Protocol Based on <i>Doddington Zoo</i>: A Biometric Application with Face, Eye, and ECG.

Pedro Henrique Lopes Silva, Eduardo Luz, Gladston Moreira, Lauro Moraes, David Menotti

Sensors, 2019

Simultaneous Iris and Periocular Region Detection Using Coarse Annotations.

Diego Rafael Lucio, Rayson Laroca, Luiz A. Zanlorensi, Gladston Moreira, David Menotti

Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019

Guiding under uniformity measure in the decision space.

Gladston Moreira, Luís Paquete

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019

2018

Learning Deep Off-the-Person Heart Biometrics Representations.

Eduardo José da S. Luz, Gladston J. P. Moreira, Luiz S. Oliveira, William Robson Schwartz, David Menotti

IEEE Trans. Inf. Forensics Secur., 2018

Deep periocular representation aiming video surveillance.

Eduardo José da S. Luz, Gladston Moreira, Luiz A. Zanlorensi, David Menotti

Pattern Recognit. Lett., 2018

VND-based Local Search Operator for Equality Constraint Problems in PSO Algorithm.

Felipe O. Mota, Elizabeth F. Wanner, Eduardo José da S. Luz, Gladston J. P. Moreira

Electron. Notes Discret. Math., 2018

A Benchmark for Iris Location and a Deep Learning Detector Evaluation.

Evair Severo, Rayson Laroca, Cides S. Bezerra, Luiz A. Zanlorensi, Daniel Weingaertner, Gladston Moreira, David Menotti

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

QRS Detection in ECG Signal with Convolutional Network.

Pedro Silva, Eduardo Luz, Elizabeth F. Wanner, David Menotti, Gladston Moreira

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Multimodal Feature Level Fusion based on Particle Swarm Optimization with Deep Transfer Learning.

Pedro H. L. Silva, Eduardo Luz, Luiz A. Zanlorensi, David Menotti, Gladston Moreira

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Hybrid PSO Algorithm with Iterated Local Search Operator for Equality Constraints Problems.

Felipe O. Mota, Vinicius Almeida, Elizabeth F. Wanner, Gladston Moreira

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Evaluating a hierarchical approach for heartbeat classification from ECG.

Eduardo José da S. Luz, Luiz H. C. Merschmann, David Menotti, Gladston J. P. Moreira

Int. J. Bioinform. Res. Appl., 2017

Convolutional Network for EEG-Based Biometric.

Thiago Schons, Gladston J. P. Moreira, Pedro H. L. Silva, Vitor Nazário Coelho, Eduardo José da S. Luz

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

A multi-objective approach for calibration and detection of cervical cells nuclei.

Paulo H. C. Oliveira, Gladston Moreira, Daniela Mayumi Ushizima, Cláudia M. Carneiro, Fátima N. S. de Medeiros, Flávio Henrique Duarte de Araújo, Romuere R. V. e Silva, Andrea G. C. Bianchi

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Exploring the scalability of multiple signatures in iris recognition using GA on the acceptance frontier search.

Fernando Bernardo, Gladston Moreira, Eduardo José da S. Luz, Paulo H. C. Oliveira, Alvaro Gaurda

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Improving automatic cardiac arrhythmia classification: Joining temporal-VCG, complex networks and SVM classifier.

Gabriel Garcia, Gladston J. P. Moreira, Eduardo José da S. Luz, David Menotti

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A new irregular spatial cluster detection through multi-objective particle swarm optimization.

Denis Xavier, Gladston Moreira, Eduardo José da S. Luz, Marcone J. F. Souza

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Optimizing acceptance frontier using PSO and GA for multiple signature iris recognition.

Gladston J. P. Moreira, Eduardo José da S. Luz, David Menotti

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

A Multi-objective Approach for Building Hyperspectral Remote Sensed Image Classifier Combiners.

Sandro Luiz Jailson Lopes Tinôco, David Menotti, Jefersson A. dos Santos, Gladston J. P. Moreira

Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Automatic cardiac arrhythmia detection and classification using vectorcardiograms and complex networks.

Vinícius A. P. Queiroz, Eduardo José da S. Luz, Gladston J. P. Moreira, Alvaro Guarda, David Menotti

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2012

A CMA stochastic differential equation approach for many-objective optimization.

Thiago Santos, Ricardo H. C. Takahashi, Gladston J. P. Moreira

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Variable Neighborhood Multiobjective Genetic Algorithm for the Optimization of Routes on IP Networks.

Renata E. Onety, Gladston J. P. Moreira, Oriane M. Neto, Ricardo H. C. Takahashi

Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

2010

LMI formulation for multiobjective learning in Radial Basis Function neural networks.

Gladston J. P. Moreira, Elizabeth F. Wanner, Frederico G. Guimarães, Luiz Duczmal, Ricardo H. C. Takahashi

Proceedings of the International Joint Conference on Neural Networks, 2010