Gladston J. P. Moreira

Orcid: 0000-0001-7747-5926

According to our database1, Gladston J. P. Moreira authored at least 41 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Leveraging Visibility Graphs for Enhanced Arrhythmia Classification with Graph Convolutional Networks.
CoRR, 2024

Bridging the Gap in ECG Classification: Integrating Self-supervised Learning with Human-in-the-Loop Amid Medical Equipment Hardware Constraints.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2024

2023
Regularization Through Simultaneous Learning: A Case Study for Hop Classification.
CoRR, 2023

Reptilerecon: Um Arcabouço para Extração e Análise de Sinais de Lagartos.
Proceedings of the 38th Brazilian Symposium on Databases, 2023

Correlations Between Epidemiological Time Series Forecasting and Influence Regions of Brazilian Cities.
Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

Physicochemical Properties for Promoter Classification.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

Time Series Forecasting of COVID-19 Cases in Brazil with GNN and Mobility Networks.
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.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022
Multi-objective approach for multiple clusters detection in data points events.
Commun. Stat. Simul. Comput., 2022

CapsProm: a capsule network for promoter prediction.
Comput. Biol. Medicine, 2022

A Decidability-Based Loss Function.
Proceedings of the International Joint Conference on Neural Networks, 2022

An Efficient Contact Lens Spoofing Classification.
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.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
A deep descriptor for cross-tasking EEG-based recognition.
PeerJ Comput. Sci., 2021

A Deep Learning Ensemble Method to Assist Cytopathologists in Pap Test Image Classification.
J. Imaging, 2021

Spatial cluster analysis using particle swarm optimization and dispersion function.
Commun. Stat. Simul. Comput., 2021

Nonparametric dependence modeling via cluster analysis: A financial contagion application.
Commun. Stat. Simul. Comput., 2021

2020
Towards an Effective and Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images.
CoRR, 2020

A Novel Formulation for Multi-objective optimization of General Finite Single-Server Queueing Networks.
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.
Sensors, 2019

Simultaneous Iris and Periocular Region Detection Using Coarse Annotations.
Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019

Guiding under uniformity measure in the decision space.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019

2018
Learning Deep Off-the-Person Heart Biometrics Representations.
IEEE Trans. Inf. Forensics Secur., 2018

Deep periocular representation aiming video surveillance.
Pattern Recognit. Lett., 2018

VND-based Local Search Operator for Equality Constraint Problems in PSO Algorithm.
Electron. Notes Discret. Math., 2018

A Benchmark for Iris Location and a Deep Learning Detector Evaluation.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

QRS Detection in ECG Signal with Convolutional Network.
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.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Hybrid PSO Algorithm with Iterated Local Search Operator for Equality Constraints Problems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Evaluating a hierarchical approach for heartbeat classification from ECG.
Int. J. Bioinform. Res. Appl., 2017

Convolutional Network for EEG-Based Biometric.
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.
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.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Improving automatic cardiac arrhythmia classification: Joining temporal-VCG, complex networks and SVM classifier.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A new irregular spatial cluster detection through multi-objective particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Optimizing acceptance frontier using PSO and GA for multiple signature iris recognition.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
A Multi-objective Approach for Building Hyperspectral Remote Sensed Image Classifier Combiners.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015

Automatic cardiac arrhythmia detection and classification using vectorcardiograms and complex networks.
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.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Variable Neighborhood Multiobjective Genetic Algorithm for the Optimization of Routes on IP Networks.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

2010
LMI formulation for multiobjective learning in Radial Basis Function neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2010


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