Eduardo José da S. Luz
Orcid: 0000-0001-5249-1559Affiliations:
- Federal University of Ouro Preto, Minas Gerais, Brazil
According to our database1,
Eduardo José da S. Luz
authored at least 48 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Leveraging Visibility Graphs for Enhanced Arrhythmia Classification with Graph Convolutional Networks.
CoRR, 2024
Towards Robust Ferrous Scrap Material Classification with Deep Learning and Conformal Prediction.
CoRR, 2024
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.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2024
Desafios sobre a Detecção de Discurso de Ódio em Português Brasileiro: Construção de um Novo Corpus e Reflexões sobre o Processo.
Proceedings of the 30th Americas Conference on Information Systems: Elevating Life through Digital Social Entrepreneurship, 2024
2023
Segmentation of cervical nuclei using convolutional neural network for conventional cytology.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., September, 2023
Sensors, February, 2023
CoRR, 2023
Towards an Automatic System for Generating Synthetic and Representative Facial Data for Anonymization.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023
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
Enhancing Stock Market Predictions Through the Integration of Convolutional and Recursive LSTM Blocks: A Cross-market Analysis.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023
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
Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
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 Learning Ensemble Method to Assist Cytopathologists in Pap Test Image Classification.
J. Imaging, 2021
Commun. Stat. Simul. Comput., 2021
Arrhythmia classification from single-lead ECG signals using the inter-patient paradigm.
Comput. Methods Programs Biomed., 2021
2020
Towards an Effective and Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images.
CoRR, 2020
2019
Chimerical Dataset Creation Protocol Based on <i>Doddington Zoo</i>: A Biometric Application with Face, Eye, and ECG.
Sensors, 2019
2018
IEEE Trans. Inf. Forensics Secur., 2018
Pattern Recognit. Lett., 2018
Neural Comput. Appl., 2018
Electron. Notes Discret. Math., 2018
The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments.
Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018
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
2017
Int. J. Bioinform. Res. Appl., 2017
EEG time series learning and classification using a hybrid forecasting model calibrated with GVNS.
Electron. Notes Discret. Math., 2017
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.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Comput. Methods Programs Biomed., 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
Proceedings of the 28th SIBGRAPI Conference on Graphics, Patterns and Images, 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
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015
2014
Expert Syst. Appl., 2014
2013
2011
How the choice of samples for building arrhythmia classifiers impact their performances.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011