How the choice of samples for building arrhythmia classifiers impact their performances. - Eduardo José da S. Luz; David Menotti (EMBC, 2011)

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)

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)

Denoising Autoencoder for Iris Recognition in Noncooperative Environments. - Eduardo José da S. Luz; David Menotti (CIARP, 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 (EMBC, 2015)

An Approach to Iris Contact Lens Detection Based on Deep Image Representations. - Pedro Silva 004; Eduardo José da S. Luz; Rafael Baeta; Hélio Pedrini; Alexandre Xavier Falcão; David Menotti (SIBGRAPI, 2015)

Optimizing acceptance frontier using PSO and GA for multiple signature iris recognition. - Gladston J. P. Moreira; Eduardo José da S. Luz; David Menotti (CEC, 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 (CEC, 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 (IJCNN, 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)

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 (CEC, 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 (CIARP, 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; et al. (Electron. Notes Discret. Math., 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)

Multimodal Feature Level Fusion based on Particle Swarm Optimization with Deep Transfer Learning. - Pedro H. L. Silva; Eduardo Luz 001; Luiz Antonio Zanlorensi; David Menotti; Gladston Moreira (CEC, 2018)

QRS Detection in ECG Signal with Convolutional Network. - Pedro Silva 004; Eduardo Luz 001; Elizabeth F. Wanner; David Menotti; Gladston Moreira (CIARP, 2018)

The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments. - Luiz Antonio Zanlorensi; Eduardo José da S. Luz; Rayson Laroca; Alceu S. Britto Jr.; Luiz S. Oliveira; David Menotti (SIBGRAPI, 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)

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)

Deep periocular representation aiming video surveillance. - Eduardo José da S. Luz; Gladston Moreira; Luiz Antonio Zanlorensi; David Menotti (Pattern Recognit. Lett., 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)

Chimerical Dataset Creation Protocol Based on Doddington Zoo: A Biometric Application with Face, Eye, and ECG. - Pedro Henrique Lopes Silva; Eduardo Luz 001; Gladston Moreira; Lauro Moraes; David Menotti (Sensors, 2019)

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 Silva 001; Ludmila Silva; Gladston Moreira; David Menotti (CoRR, 2020)

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)

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 001 (Commun. Stat. Simul. Comput., 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)

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)

Deep Learning-Based COVID-19 Screening Using Photographs of Chest X-Rays Displayed in Computer Monitors. - Pedro Silva 004; Eduardo Luz 001; Larissa Silva; Caio Gonçalves; Dênis Oliveira; Rodrigo Silva 001; Gladston Moreira (BRACIS (2), 2022)

An Efficient Contact Lens Spoofing Classification. - Guilherme Silva 006; Pedro H. L. Silva; Mariana R. F. Mota; Eduardo Luz 001; Gladston Moreira (ICEIS (1), 2022)

A Decidability-Based Loss Function. - Pedro Silva 004; Gladston Moreira; Vander L. S. Freitas; Rodrigo Silva 001; David Menotti; Eduardo Luz 001 (IJCNN, 2022)

A First Look at Dataset Bias in License Plate Recognition. - Rayson Laroca; Marcelo dos Santos; Valter Estevam; Eduardo Luz 001; David Menotti (SIBGRAPI, 2022)

Ocular recognition databases and competitions: a survey. - Luiz Antonio Zanlorensi; Rayson Laroca; Eduardo Luz 001; Alceu S. Britto Jr.; Luiz S. Oliveira; David Menotti (Artif. Intell. Rev., 2022)

CapsProm: a capsule network for promoter prediction. - Lauro Moraes; Pedro Silva 004; Eduardo Luz 001; Gladston Moreira (Comput. Biol. Medicine, 2022)

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 004; Andrea G. C. Bianchi; Gladston Moreira; Eduardo José da S. Luz (BRACIS (2), 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 (BRACIS (3), 2023)

Physicochemical Properties for Promoter Classification. - Lauro Moraes; Eduardo José da S. Luz; Gladston Moreira (BRACIS (2), 2023)

Enhancing Stock Market Predictions Through the Integration of Convolutional and Recursive LSTM Blocks: A Cross-market Analysis. - Filipe Ramos; Guilherme Silva 006; Eduardo Luz 001; Pedro Silva 004 (BRACIS (2), 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 001; Leonardo B. L. Santos (GEOINFO, 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 (SBBD, 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 (VISIGRAPP (5: VISAPP), 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)

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, 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., 2023)

Desafios sobre a Detecção de Discurso de Ódio em Português Brasileiro: Construção de um Novo Corpus e Reflexões sobre o Processo. - Guilherme Lima; Amanda Oliveira; Felix L. V. da Silva; Luana Pinheiro; Eduardo Luz 001; Larissa A. de Freitas (AMCIS, 2024)

Bridging the Gap in ECG Classification: Integrating Self-supervised Learning with Human-in-the-Loop Amid Medical Equipment Hardware Constraints. - Guilherme Silva 006; Pedro Silva 004; Gladston Moreira; Eduardo Luz 001 (ARC, 2024)

Adaptive Client-Dropping in Federated Learning: Preserving Data Integrity in Medical Domains. - Arthur Negrão; Guilherme Silva 006; Rodrigo Pedrosa; Eduardo Luz 001; Pedro Silva 004 (BRACIS (1), 2024)

Exploring Remote Cardiac Signals for Biometric Verification: A Study Using Eulerian Video Magnification. - Adriano F. Andrade; Guilherme Silva 006; Pedro Silva 004; Dênis Oliveira; Gladston Moreira; Eduardo Luz 001 (LA-CCI, 2024)

Periocular EfficientNet: A Deep Model for Periocular Recognition. - Pablo Coelho; Guilherme Silva 006; Dênis Oliveira; Gladston Moreira; Eduardo Luz 001; Pedro Silva 004 (LA-CCI, 2024)

Reinforcement Learning for the Detection of Arbitrary Shaped Spatial Clusters. - Dênis Oliveira; Anderson Ribeiro Duarte; Eduardo José da S. Luz; Gladston Moreira (LA-CCI, 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 (PROPOR (1), 2024)

Leveraging Visibility Graphs for Enhanced Arrhythmia Classification with Graph Convolutional Networks. - Rafael F. Oliveira; Gladston J. P. Moreira; Vander L. S. Freitas; Eduardo José da S. Luz (CoRR, 2024)

Uncertainty Quantification in Measuring Ore Mass Flow Rate with Data-Driven Soft Sensors. - Francisco José Dos Santos Diniz; Saulo N. Matos; Jó Ueyama; Leandro Soriano Marcolino; Eduardo José da Silva Luz; Gustavo Pessin (I2MTC, 2025)

Towards robust ferrous scrap material classification with deep learning and conformal prediction. - Paulo Henrique dos Santos; Valéria de Carvalho Santos; Eduardo José da Silva Luz (Eng. Appl. Artif. Intell., 2025)

Leveraging graph neural networks and mobility data for COVID-19 forecasting. - Fernando H. O. Duarte; Gladston J. P. Moreira; Eduardo José da S. Luz; Leonardo B. L. Santos; Vander L. S. Freitas (CoRR, 2025)

A Systematic Review of ECG Arrhythmia Classification: Adherence to Standards, Fair Evaluation, and Embedded Feasibility. - Guilherme Silva 006; Pedro Silva 004; Gladston Moreira; Vander L. S. Freitas; Jadson Castro Gertrudes; Eduardo José da S. Luz (CoRR, 2025)

MOPrompt: Multi-objective Semantic Evolution for Prompt Optimization. - Sara Câmara; Eduardo Luz 001; Valéria Carvalho; Ivan Meneghini; Gladston Moreira (CoRR, 2025)

Investigating the Impact of Large-Scale Pre-training on Nutritional Content Estimation from 2D Images. - Michele Andrade; Guilherme A. L. Silva; Valéria Santos; Gladston Moreira; Eduardo Luz 001 (CoRR, 2025)

Enhancing Decision Space Diversity in Multi-Objective Evolutionary Optimization for the Diet Problem. - Gustavo V. Nascimento; Ivan Meneghini; Valéria Santos; Eduardo Luz 001; Gladston Moreira (CoRR, 2025)

Deep Learning for School Dropout Detection: A Comparison of Tabular and Graph-Based Models for Predicting At-Risk Students. - Pablo G. Almeida; Guilherme A. L. Silva; Valéria Santos; Gladston Moreira; Pedro Silva; Eduardo José da S. Luz (CoRR, 2025)