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1
Technical and fundamental analysis for the forecast of financial scrip quotation an approach employing artificial neural networks and Wavelet transform
Technical and fundamental analysis for the forecast of financial scrip quotation an approach employing artificial neural networks and Wavelet transform
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Technical and fundamental analysis for the forecast of financial scrip quotation an approach employing artificial neural networks and Wavelet transform

Anderson da Silva Soares Maria Stela Veludo de Paiva; Clarimar José Coelho; International Symposium on Neural Networks (4. 2007 Nanjing, China)

Lecture Notes in Computer Science Heidelberg v. 4493, part 3, p. 1024-1032, 2007

Heidelberg 2007

Item não circula. Consulte sua biblioteca.(Acessar)

2
Language and cognition integration through modeling field theory category formation for symbol grounding
Language and cognition integration through modeling field theory category formation for symbol grounding
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Artigo de Congresso 		Adicionar ao Meu Espaço

Language and cognition integration through modeling field theory category formation for symbol grounding

Vadim Tikhanoff José Fernando Fontanari; Angelo Cangelosi; Leonid I Perlovsky; International Conference Artificial Neural Networks - ICANN (16. 2006 Atenas)

Lecture Notes in Computer Science Berlin v. 4131, p. 376-385, 2006

Berlin Springer-Verlag 2006

Localização: IFSC - Inst. Física de São Carlos    (PROD013082 ) e outros locais(Acessar)

3
Fault identification in doubly fed induction generator using FFT and neural networks
Fault identification in doubly fed induction generator using FFT and neural networks
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Fault identification in doubly fed induction generator using FFT and neural networks

Marcelo Patrício de Santana José Roberto Boffino de Almeida Monteiro; Geyverson Teixeira de Paula; Thales Eugenio Portes de Almeida; Gustavo Bueno Romero; Júlio César Faracco; International Conference on Intelligent Data Engineering and Automated Learning (13. 2012 Natal, RN)

Lecture Notes in Computer Science Heidelberg v. 7435, p. 699-706, 2012

Heidelberg 2012

Item não circula. Consulte sua biblioteca.(Acessar)

4
A serious game to build a database for ErrP signal recognition
A serious game to build a database for ErrP signal recognition
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A serious game to build a database for ErrP signal recognition

Adam Henrique Moreira Pinto Guilherme Vicentim Nardari; Marco Aurélio Martins Mijan; Edgard Morya; Roseli Aparecida Francelin Romero; International Work-Conference on Artificial Neural Networks - IWANN (15. 2019 Gran Canaria, Spain)

Lecture Notes in Computer Science Cham : Springer v. 11507, p. 186-197, 2019

Cham Springer 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2949738 )(Acessar)

5
Deep convolutional neural networks and noisy images
Deep convolutional neural networks and noisy images
Material Type:
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Deep convolutional neural networks and noisy images

Tiago Santana de Nazaré Gabriel B. Paranhos da Costa; Welinton A Contato; Moacir Antonelli Ponti; Iberoamerican Congress on Pattern Recognition - CIARP : Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (22. 2017 Valparaíso)

Lecture Notes in Computer Science Cham : Springer v. 10657, p. 416-424, 2018

Cham Springer 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2877039 )(Acessar)

6
Neural network based approach for automotive brake light parameter estimation
Neural network based approach for automotive brake light parameter estimation
Material Type:
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Neural network based approach for automotive brake light parameter estimation

Antonio Vanderlei Ortega Ivan Nunes da Silva; International Conference on Neural Information Processing - ICONIP (19. 2012 Doha, Qatar)

Lecture Notes in Computer Science Heidelberg v. 7666, p. 611-618, 2012

Heidelberg 2012

Item não circula. Consulte sua biblioteca.(Acessar)

7
Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes
Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes
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Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes

Dino Ienco Davi Pereira-Santos; André Carlos Ponce de Leon Ferreira de Carvalho; International Conference on Artificial Neural Networks - ICANN (30. 2021 Bratislava, Slovakia)

Lecture Notes in Computer Science Cham : Springer v. 12895, p. 126-137, 2021

Cham Springer 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3064248 )(Acessar)

8
Bipartite graph coarsening for text classification using graph neural networks
Bipartite graph coarsening for text classification using graph neural networks
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Bipartite graph coarsening for text classification using graph neural networks

Nícolas Roque dos Santos Diego Minatel; Alan Demetrius Baria Valejo; Alneu de Andrade Lopes; Iberoamerican Congress on Pattern Recognition - CIARP (26. 2023 Coimbra, Portugal)

Lecture Notes in Computer Science Cham : Springer v. 14469, p. 589-604, 2024

Cham Springer 2024

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3172694 )(Acessar)

9
A fault-tolerant indoor localization system with recurrent neural networks
A fault-tolerant indoor localization system with recurrent neural networks
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

A fault-tolerant indoor localization system with recurrent neural networks

Eduardo Carvalho (Eduardo Costa de Carvalho) Bruno V Ferreira (Bruno Victor de Mesquita Ferreira); Geraldo P. R Filho (Geraldo Pereira Rocha Filho); Jó Ueyama; Gustavo Pessin; International Conference on Artificial Neural Networks - ICANN (26. 2017 Alghero, Italy)

Lecture Notes in Computer Science Cham : Springer v. 10614, p. 761-762, 2017

Cham Springer Nature Switzerland AG 2017

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD 2898777 )(Acessar)

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