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Manassés Ribeiro
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Cited by
Year
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
3262018
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
362017
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
252017
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
182020
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
102021
Qualitative Analysis of Deep Learning Frameworks
M Gutosk
Journal of the Brazilian Society on Computational Intelligence 15 (1), 45-52, 2017
52017
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
52005
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
42020
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
32020
Deep learning methods for detecting anomalies in videos: theoretical and methodological contributions
M Ribeiro
Universidade Tecnológica Federal do Paraná, 2018
32018
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
32018
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
12019
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
12015
Image segmentation methods
M Ribeiro, HS Lopes
Encyclopedia of Information Science and Technology, Third Edition, 5947-5956, 2015
12015
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
12014
Extensão ao modelo WfMC para servidores de workflow em ambientes hospitalares
M Ribeiro
Florianópolis, SC, 2007
12007
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
12007
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
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