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Refined by: Journal Title: Proceedings remove subject: Redes Neurais remove
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1
Classification of optical coherence tomography using convolutional neural networks
Classification of optical coherence tomography using convolutional neural networks
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Conference Paper 		Add to e-Shelf

Classification of optical coherence tomography using convolutional neural networks

Aratã Andrade Saraiva Domingos Bruno S Santos; Pedro Mateus Cunha Pimentel; Jose Vigno Moura Sousa; N. M. Fonseca Ferreira; João do Espírito Santo Batista Neto; Salviano Soares; Antônio Valente; International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC (13. 2020 Valletta, Malta); International Conference on Bioinformatics Models, Methods and Algorithms - BIOINFORMATICS (11. 2020 Valletta, Malta)

Proceedings Lisboa : SciTePress, 2020

Lisboa SciTePress 2020

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-2995842 )(GetIt)

2
Segmentation and classification of cutaneous ulcers in digital images through artificial neural networks
Segmentation and classification of cutaneous ulcers in digital images through artificial neural networks
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Conference Paper 		Add to e-Shelf

Segmentation and classification of cutaneous ulcers in digital images through artificial neural networks

André de Souza Tarallo Adilson Gonzaga; Marco Andrey Cipriano Frade; International Conference on Health Informatics (1. 2008 Funchal, Madeira)

Proceedings Funchal : INSTICC/UMA, 2008

Funchal INSTICC/UMA 2008

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3
Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers
Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers
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Classification of H&E images via CNN models with XAI approaches, deepdream representations and multiple classifiers

Leandro Alves Neves João Manuel Cardoso Martinez; Leonardo Henrique da Costa Longo; Guilherme Freire Roberto; Thaína Aparecida Azevedo Tosta; Paulo Rogério de Faria; Adriano Mota Loyola; Sérgio Vitorino Cardoso; Adriano Barbosa Silva; Marcelo Zanchetta do Nascimento; Guilherme Botazzo Rozendo; International Conference on Enterprise Information Systems - ICEIS (25. 2023 Prague, Czech Republic)

Proceedings Setúbal : SciTePress, 2023

Setúbal SciTePress 2023

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-3139171 )(GetIt)

4
Neural classification of power quality disturbances an application of the wavelet transform and principal component analysis
Neural classification of power quality disturbances an application of the wavelet transform and principal component analysis
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Neural classification of power quality disturbances an application of the wavelet transform and principal component analysis

Giovani Guarienti Pozzebon Guido Gómez Peña; Amílcar Flamarion Querubini Gonçalves; Ricardo Quadros Machado; IEEE/IAS International Conference on Industry Applications (9. 2010 São Paulo, SP)

Proceedings São Paulo : IEEE Sul Brasil, 2010

São Paulo IEEE Sul Brasil 2010

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5
Low and high level classification using stacking
Low and high level classification using stacking
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Conference Paper 		Add to e-Shelf

Low and high level classification using stacking

Thiago Ferreira Covões Zhao Liang; International Joint Conference on Neural Networks - IJCNN (2017 Anchorage)

Proceedings Anchorage: INNS, 2017

Anchorage INNS 2017

Available at FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 2925096 Estantes Deslizantes )(GetIt)

6
Optimum-path forest applied for breast masses classification
Optimum-path forest applied for breast masses classification
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Conference Paper 		Add to e-Shelf

Optimum-path forest applied for breast masses classification

Patrícia B Ribeiro Kelton A. P. da Costa; João P Papa; Roseli Aparecida Francelin Romero; International Symposium on Computer-Based Medical Systems - CBMS (27. 2014 New York)

Proceedings Piscataway : IEEE, 2014

Piscataway IEEE 2014

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-2498923 )(GetIt)

7
Classification of respiratory sounds with convolutional neural network
Classification of respiratory sounds with convolutional neural network
Material Type:
Conference Paper 		Add to e-Shelf

Classification of respiratory sounds with convolutional neural network

Aratã Andrade Saraiva Domingos Bruno S Santos; Francisco A Alves; Jose Vigno Moura Sousa; N. M. Fonseca Ferreira; Salviano Soares; Antônio Valente; International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSTEC (13. 2020 Valletta, Malta); International Conference on Bioinformatics Models, Methods and Algorithms - BIOINFORMATICS (11. 2020 Valletta, Malta)

Proceedings Lisboa : SciTePress, 2020

Lisboa SciTePress 2020

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-2995869 )(GetIt)

8
Hierarchical classification of gene ontology-based protein functions with neural networks
Hierarchical classification of gene ontology-based protein functions with neural networks
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Hierarchical classification of gene ontology-based protein functions with neural networks

Ricardo Cerri Rodrigo C Barros; André Carlos Ponce de Leon Ferreira de Carvalho; International Joint Conference on Neural Network - IJCNN (2015 Killarney)

Proceedings Piscataway : IEEE, 2015

Piscataway IEEE 2015

Available at ICMC - Inst. Ciên. Mat. Computação    (PROD-2724180 )(GetIt)

9
Failure classification for a 3RRR manipulator using RBF networks
Failure classification for a 3RRR manipulator using RBF networks
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Failure classification for a 3RRR manipulator using RBF networks

Hiparco Lins Vieira João Vitor de Carvalho Fontes; André Teófilo Beck; Maíra Martins da Silva; International Conference on Vulnerability and Risk Analysis and Management - ICVRAM (3. : 2018 : Florianópolis, SC, Brazil); International Symposium on Uncertainty Modelling and Analysis - ISUMA (7. : 2018 : Florianópolis, SC, Brazil); International Symposium on Uncertainty Quantification and Stochastic Modeling - UNCERTAINTIES (4. : 2018 : Florianópolis, SC, Brazil)

Proceedings Rio de Janeiro, RJ : ABCM, 2018

Rio de Janeiro, RJ ABCM 2018

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10
Deep learning for astronomical object classification a case study
Deep learning for astronomical object classification a case study
Material Type:
Conference Paper 		Add to e-Shelf

Deep learning for astronomical object classification a case study

Ana Carolina Rodrigues Cavalcante Martinazzo Mateus Espadoto; Nina Sumiko Tomita Hirata; International joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP (15. 2020 Valletta, Malta)

Proceedings Lisboa : SciTePress, 2020

Lisboa SciTePress 2020

Available at IME - Inst. Matemática e Estatística    (PROD-2999597 )(GetIt)

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