A study of deep convolutional auto-encoders for anomaly detection in videos M Ribeiro, AE Lazzaretti, HS Lopes Pattern Recognition Letters 105, 13-22, 2018 | 336 | 2018 |
Detection of video anomalies using convolutional autoencoders and one-class support vector machines M Gutoski, NMR Aquino, M Ribeiro, E Lazzaretti, HS Lopes XIII Brazilian congress on computational intelligence 2017, 2017 | 36 | 2017 |
A clustering-based deep autoencoder for one-class image classification M Gutoski, M Ribeiro, NMR Aquino, AE Lazzaretti, HS Lopes 2017 IEEE Latin American conference on computational intelligence (LA-CCI), 1-6, 2017 | 25 | 2017 |
One-class classification in images and videos using a convolutional autoencoder with compact embedding M Ribeiro, M Gutoski, AE Lazzaretti, HS Lopes IEEE Access 8, 86520-86535, 2020 | 19 | 2020 |
A comparative study of transfer learning approaches for video anomaly detection M Gutoski, M Ribeiro, LT Hattori, M Romero, AE Lazzaretti, HS Lopes International Journal of Pattern Recognition and Artificial Intelligence 35 …, 2021 | 10 | 2021 |
Qualitative Analysis of Deep Learning Frameworks M Gutosk Journal of the Brazilian Society on Computational Intelligence 15 (1), 45-52, 2017 | 5 | 2017 |
Cyclops Workflow Server: Uma Proposta para um modelo de um servidor de fluxo de atividades médico-hospitalar M Ribeiro, A von Wangenheim, R Andrade Workshop de Informática Médica, 2005 | 5 | 2005 |
Soft biometrics classification in videos using transfer learning and bidirectional long short-term memory networks M Romero, M Gutoski, LT Hattori, M Ribeiro, HS Lopes Learning and Nonlinear Models 18 (1), 47-59, 2020 | 4 | 2020 |
A study of the influence of data complexity and similarity on soft biometrics classification performance in a transfer learning scenario M Romero, M Gutoski, LT Hattori, M Ribeiro, HS Lopes Learning and Nonlinear Models 18 (2), 56-65, 2020 | 3 | 2020 |
Deep learning methods for detecting anomalies in videos: theoretical and methodological contributions M Ribeiro Universidade Tecnológica Federal do Paraná, 2018 | 3 | 2018 |
Feature selection using differential evolution for unsupervised image clustering M Gutoski, M Ribeiro, NMR Aquino, LT Hattori, AE Lazzaretti, HS Lopes Artificial Intelligence and Soft Computing: 17th International Conference …, 2018 | 3 | 2018 |
Learning spatio-temporal features for detecting anomalies in videos using convolutional autoencoder M Ribeiro, M Romero, AE Lazzaretti, HS Lopes Anais do 14o Congresso Brasileiro de Inteligência Computacional. Curitiba …, 2019 | 1 | 2019 |
Multi-class classification of objects in images using principal component analysis and genetic programming M Ribeiro, HS Lopes 2015 Latin America Congress on Computational Intelligence (LA-CCI), 1-6, 2015 | 1 | 2015 |
Image segmentation methods M Ribeiro, HS Lopes Encyclopedia of Information Science and Technology, Third Edition, 5947-5956, 2015 | 1 | 2015 |
Microscopic and chemical characterization of flour of fruits: an alternative source for supplemental feeding AMP dos Santos, S Carvalho, R Duarte, AE do Vale, JS Lima, IF Santos, ... Food Processing & Technology, 2014 | 1 | 2014 |
Extensão ao modelo WfMC para servidores de workflow em ambientes hospitalares M Ribeiro Florianópolis, SC, 2007 | 1 | 2007 |
Implantação, Análise e Modelagem de um Sistema de Workflow Hospitalar VP Leite, E Comunello, M Ribeiro Simpósio de Excelência em Gestão e Tecnologia 4, 2007 | 1 | 2007 |
Medical Workflow Management–Uma Proposta para Gerenciamento do Processo Hospitalar Utilizando a Tecnologia de Workflow Integrada ao Padrão DICOM L Ferreira, A Von Wangenhein, M Ribeiro, R Andrade | 1 | |
Emergence of within-host SARS-CoV-2 recombinant genome after coinfection by Gamma and Delta variants J RdSF, LGP de Almeida, AP Lamarca, L Cavalcante, Y Martins, ... | | 2021 |
DESENVOLVIMENTO DE UM CLIENTE REFERÊNCIA PARA INTEGRAÇÃO DE PEPS COM O SIMTEC DO IFC: FERRAMENTA PARA ENFRENTAMENTO DA COVID-19 MV Cendron, M Ribeiro Anais da Mostra Nacional de Iniciação Científica e Tecnológica …, 2021 | | 2021 |