关注
Eduardo J. S. Luz
Eduardo J. S. Luz
其他姓名Eduardo José da Silva Luz, Eduardo Luz
Universidade Federal de Ouro Preto, Federal University of Ouro Preto
在 ufop.edu.br 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
ECG-based heartbeat classification for arrhythmia detection: A survey
EJS Luz, WR Schwartz, G Cámara-Chávez, D Menotti
Computer methods and programs in biomedicine 127, 144-164, 2016
8892016
Towards an effective and efficient deep learning model for COVID-19 patterns detection in X-ray images
E Luz, PL Silva, R Silva, L Silva, G Moreira, D Menotti
Research on Biomedical Engineering, 2020
3602020
COVID-19 detection in CT images with deep learning: A voting-based scheme and cross-datasets analysis
P Silva, E Luz, G Silva, G Moreira, R Silva, D Lucio, D Menotti
Informatics in medicine unlocked 20, 100427, 2020
2472020
ECG arrhythmia classification based on optimum-path forest
EJS Luz, TM Nunes, VHC De Albuquerque, JP Papa, D Menotti
Expert Systems with Applications 40 (9), 3561-3573, 2013
2002013
A GPU deep learning metaheuristic based model for time series forecasting
IM Coelho, VN Coelho, EJS Luz, LS Ochi, FG Guimaraes, E Rios
Applied Energy 201, 412-418, 2017
1622017
Inter-patient ECG heartbeat classification with temporal VCG optimized by PSO
G Garcia, G Moreira, D Menotti, E Luz
Scientific reports 7 (1), 10543, 2017
1342017
Learning deep off-the-person heart biometrics representations
EJ da Silva Luz, GJP Moreira, LS Oliveira, WR Schwartz, D Menotti
IEEE Transactions on Information Forensics and Security 13 (5), 1258-1270, 2017
1192017
Robust automated cardiac arrhythmia detection in ECG beat signals
VHC de Albuquerque, TM Nunes, DR Pereira, EJS Luz, D Menotti, ...
Neural Computing and Applications 29, 679-693, 2018
912018
An approach to iris contact lens detection based on deep image representations
P Silva, E Luz, R Baeta, H Pedrini, AX Falcao, D Menotti
2015 28th SIBGRAPI Conference on Graphics, Patterns and Images, 157-164, 2015
852015
Arrhythmia classification from single-lead ECG signals using the inter-patient paradigm
FM Dias, HLM Monteiro, TW Cabral, R Naji, M Kuehni, EJS Luz
Computer Methods and Programs in Biomedicine 202, 105948, 2021
702021
Convolutional network for EEG-based biometric
T Schons, GJP Moreira, PHL Silva, VN Coelho, EJS Luz
Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2018
502018
Multimodal feature level fusion based on particle swarm optimization with deep transfer learning
PH Silva, E Luz, LA Zanlorensi, D Menotti, G Moreira
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
412018
Evaluating the use of ECG signal in low frequencies as a biometry
EJS Luz, D Menotti, WR Schwartz
Expert Systems with Applications 41 (5), 2309-2315, 2014
412014
Deep periocular representation aiming video surveillance
E Luz, G Moreira, LAZ Junior, D Menotti
Pattern Recognition Letters 114, 2-12, 2018
392018
A deep learning ensemble method to assist cytopathologists in pap test image classification
D N. Diniz, M T. Rezende, A GC Bianchi, C M. Carneiro, E JS Luz, ...
Journal of Imaging 7 (7), 111, 2021
352021
Towards better heartbeat segmentation with deep learning classification
P Silva, E Luz, G Silva, G Moreira, E Wanner, F Vidal, D Menotti
Scientific Reports 10 (1), 20701, 2020
322020
How the choice of samples for building arrhythmia classifiers impact their performances
E Luz, D Menotti
2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011
322011
The impact of preprocessing on deep representations for iris recognition on unconstrained environments
LA Zanlorensi, E Luz, R Laroca, AS Britto, LS Oliveira, D Menotti
2018 31st SIBGRAPI conference on graphics, patterns and images (SIBGRAPI …, 2018
302018
Ocular recognition databases and competitions: A survey
LA Zanlorensi, R Laroca, E Luz, AS Britto Jr, LS Oliveira, D Menotti
Artificial Intelligence Review 55 (1), 129-180, 2022
162022
Improving automatic cardiac arrhythmia classification: Joining temporal-VCG, complex networks and SVM classifier
G Garcia, G Moreira, E Luz, D Menotti
2016 International Joint Conference on Neural Networks (IJCNN), 3896-3900, 2016
132016
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