| 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 | 625 | 2016 |
| 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 | 189 | 2020 |
| 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 | 167 | 2013 |
| 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 | 118 | 2020 |
| A GPU deep learning metaheuristic based model for time series forecasting IM Coelho, VN Coelho, EJS Luz, LS Ochi, FG Guimarães, E Rios Applied Energy 201, 412-418, 2017 | 112 | 2017 |
| 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 | 89 | 2017 |
| Inter-patient ECG heartbeat classification with temporal VCG optimized by PSO G Garcia, G Moreira, D Menotti, E Luz Scientific reports 7 (1), 1-11, 2017 | 83 | 2017 |
| 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 (3), 679-693, 2018 | 79 | 2018 |
| 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 | 67 | 2015 |
| 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 | 33 | 2014 |
| Deep periocular representation aiming video surveillance E Luz, G Moreira, LAZ Junior, D Menotti Pattern Recognition Letters 114, 2-12, 2018 | 31 | 2018 |
| Convolutional network for EEG-based biometric T Schons, GJP Moreira, PHL Silva, VN Coelho, EJS Luz Iberoamerican congress on pattern recognition, 601-608, 2017 | 29 | 2017 |
| 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 | 28 | 2018 |
| 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 | 27 | 2021 |
| 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 | 25 | 2011 |
| 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 | 19 | 2018 |
| 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), 1-13, 2020 | 17 | 2020 |
| 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 | 11 | 2016 |
| Automatic cardiac arrhythmia detection and classification using vectorcardiograms and complex networks V Queiroz, E Luz, G Moreira, Á Guarda, D Menotti 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 11 | 2015 |
| Ocular recognition databases and competitions: A survey LA Zanlorensi, R Laroca, E Luz, AS Britto, LS Oliveira, D Menotti Artificial Intelligence Review 55 (1), 129-180, 2022 | 9 | 2022 |
David MenottiDepartment of Informatics, Universidade Federal do ParanáVerified email at inf.ufpr.br
