Eduardo José da S. Luz

According to our database, Eduardo José da S. Luz authored at least 45 papers between 2011 and 2024.

Collaborative distances:

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

2024

Toxic Speech Detection in Portuguese: A Comparative Study of Large Language Models.

Amanda da Silva Oliveira, Thiago de Carvalho Cecote, João Paulo Reis Alvarenga, Vander Luis de Souza Freitas, Eduardo José da Silva Luz

Proceedings of the 16th International Conference on Computational Processing of Portuguese, 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

Segmentation of cervical nuclei using convolutional neural network for conventional cytology.

Júlia Beatriz A. Teixeira, Mariana T. Rezende, Débora Nasser Diniz, Cláudia M. Carneiro, Eduardo José da Silva Luz, Marcone J. F. Souza, Daniela M. Ushizima, Fátima N. S. de Medeiros, Andrea Gomes Campos Bianchi

Comput. methods Biomech. Biomed. Eng. Imaging Vis., September, 2023

Using Mobile Edge AI to Detect and Map Diseases in Citrus Orchards.

Jonathan Cristóvão Ferreira da Silva, Mateus Coelho Silva, Eduardo José da S. Luz, Saul E. Delabrida, Ricardo A. R. Oliveira

Sensors, February, 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

Towards an Automatic System for Generating Synthetic and Representative Facial Data for Anonymization.

Natália F. de C. Meira, Ricardo C. Câmara de M. Santos, Mateus C. Silva, Eduardo José da S. Luz, Ricardo A. R. Oliveira

Proceedings of the 18th International Joint Conference on Computer Vision, 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

Enhancing Stock Market Predictions Through the Integration of Convolutional and Recursive LSTM Blocks: A Cross-market Analysis.

Filipe Ramos, Guilherme Silva, Eduardo Luz, Pedro Silva

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 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

CapsProm: a capsule network for promoter prediction.

Lauro Moraes, Pedro Silva, Eduardo Luz, Gladston Moreira

Comput. Biol. Medicine, 2022

Ocular recognition databases and competitions: a survey.

Luiz A. Zanlorensi, Rayson Laroca, Eduardo Luz, Alceu S. Britto Jr., Luiz S. Oliveira, David Menotti

Artif. Intell. Rev., 2022

A First Look at Dataset Bias in License Plate Recognition.

Rayson Laroca, Marcelo dos Santos, Valter Estevam, Eduardo Luz, David Menotti

Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 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

Arrhythmia classification from single-lead ECG signals using the inter-patient paradigm.

Felipe Meneguitti Dias, Henrique L. M. Monteiro, Thales Wulfert Cabral, Rayen Naji, Michael Kuehni, Eduardo José da S. Luz

Comput. Methods Programs Biomed., 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

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

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

Robust automated cardiac arrhythmia detection in ECG beat signals.

Victor Hugo C. de Albuquerque, Thiago M. Nunes, Danillo Roberto Pereira, Eduardo José da S. Luz, David Menotti, João P. Papa, João Manuel R. S. Tavares

Neural Comput. Appl., 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

The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments.

Luiz A. Zanlorensi, Eduardo José da S. Luz, Rayson Laroca, Alceu S. Britto Jr., Luiz S. Oliveira, David Menotti

Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 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

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

EEG time series learning and classification using a hybrid forecasting model calibrated with GVNS.

Vitor Nazário Coelho, Igor Machado Coelho, Bruno N. Coelho, Marcone J. F. Souza, Frederico G. Guimarães, Eduardo José da S. Luz, Alexandre C. Barbosa, Mateus N. Coelho, Guilherme G. Netto, R. C. Costa, Alysson A. Pinto, A. de P. Figueiredo, M. E. V. Elias, D. C. O. G. Filho, Thays A. Oliveira

Electron. Notes Discret. Math., 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

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

ECG-based heartbeat classification for arrhythmia detection: A survey.

Eduardo José da S. Luz, William Robson Schwartz, Guillermo Cámara Chávez, David Menotti

Comput. Methods Programs Biomed., 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

An Approach to Iris Contact Lens Detection Based on Deep Image Representations.

Pedro Silva, Eduardo José da S. Luz, Rafael Baeta, Hélio Pedrini, Alexandre Xavier Falcão, David Menotti

Proceedings of the 28th SIBGRAPI Conference on Graphics, Patterns and Images, 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

Denoising Autoencoder for Iris Recognition in Noncooperative Environments.

Eduardo José da S. Luz, David Menotti

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015

2014

Evaluating the use of ECG signal in low frequencies as a biometry.

Eduardo José da S. Luz, David Menotti, William Robson Schwartz

Expert Syst. Appl., 2014

2013

ECG arrhythmia classification based on optimum-path forest.

Eduardo José da S. Luz, Thiago M. Nunes, Victor Hugo C. de Albuquerque, João P. Papa, David Menotti

Expert Syst. Appl., 2013

2011

How the choice of samples for building arrhythmia classifiers impact their performances.

Eduardo José da S. Luz, David Menotti

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011