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1
In-depth comparison of deep artificial neural network architectures on seismic events classification
In-depth comparison of deep artificial neural network architectures on seismic events classification
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In-depth comparison of deep artificial neural network architectures on seismic events classification

João Paulo Canário Rodrigo Fernandes de Mello; Millaray Curilem; Fernando Huenupan; Ricardo Araújo Rios

Journal of Volcanology and Geothermal Research Amsterdam : Elsevier v. 401, p. 1-16, Sep. 2020

Amsterdam 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2997215 )(Acessar)

2
Llaima volcano dataset in-depth comparison of deep artificial neural network architectures on seismic events classification
Llaima volcano dataset in-depth comparison of deep artificial neural network architectures on seismic events classification
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Llaima volcano dataset in-depth comparison of deep artificial neural network architectures on seismic events classification

João Paulo Canário Rodrigo Fernandes de Mello; Millaray Curilem; Fernando Huenupan; Ricardo Araújo Rios

Data in Brief Amsterdam : Elsevier v. 30, p. 1-6, 2020

Amsterdam 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2997209 )(Acessar)

3
Enhancing network slicing architectures with machine learning, security, sustainability and experimental networks integration
Enhancing network slicing architectures with machine learning, security, sustainability and experimental networks integration
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Enhancing network slicing architectures with machine learning, security, sustainability and experimental networks integration

Joberto Sérgio Barbosa Martins Tereza Cristina Melo de Brito Carvalho 1958-; Rodrigo Moreira; Cristiano Bonato Both; Adnei Willian Donatti; João H Corrêa; José A Suruagy; Sand L Correa; Antonio Jorge G Abelém; Moisés R N Ribeiro; José Marcos Silva Nogueira; Luiz C S Magalhães; Juliano Wickboldt; Tiago C Ferreto; Ricardo Mello; Rafael Pasquini; Marcos Felipe Schwarz; Leobino N Sampaio; Daniel F Macedo; José Ferreira de Rezende; Kleber V Cardoso; Flávio de Oliveira Silva

IEEE Acess Piscataway v. 11, p. 69144-69163, 2023

Piscataway 2023

Item não circula. Consulte sua biblioteca.(Acessar)

4
Image indexing and retrieval using an ART-2A neural network architecture
Image indexing and retrieval using an ART-2A neural network architecture
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Image indexing and retrieval using an ART-2A neural network architecture

Rodrigo Fernandes de Mello Josiane Maria Bueno; Luciano José Senger; Laurence T Yang

International Journal of Imaging Systems and Technology Hoboken : Wiley v. 18, n. 2-3, p. 202-208, 2008

Hoboken 2008

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2890298 )(Acessar)

5
A new method for classifying and searching software components by using a self-organizing neural network architecture
A new method for classifying and searching software components by using a self-organizing neural network architecture
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Artigo de Congresso 		Adicionar ao Meu Espaço

A new method for classifying and searching software components by using a self-organizing neural network architecture

Cláudia A. S. Mello Rodrigo Fernandes de Mello; Marilde T. P Santos; Luciano José Senger; Laurence Tianruo Yang; IEEE International Conference on Granular Computing (2006 Atlanta)

Proceedings IEEE, 2006

IEEE Computer Society 2006

Acesso online. A biblioteca também possui exemplares impressos.

6
A technique to reduce the test case suites for regression testing based on a self-organizing neural network architecture
A technique to reduce the test case suites for regression testing based on a self-organizing neural network architecture
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A technique to reduce the test case suites for regression testing based on a self-organizing neural network architecture

Adenilso da Silva Simão Rodrigo Fernandes de Mello; Luciano José Senger; Annual International Computer Software and Applications Conference (30. 2006 Chicago)

Proceedings IEEE, 2006

IEEE Computer Society 2006

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-1562986 ) e outros locais(Acessar)

7
Autonomous CNN (AutoCNN) a data-driven approach to network architecture determination
Autonomous CNN (AutoCNN) a data-driven approach to network architecture determination
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Autonomous CNN (AutoCNN) a data-driven approach to network architecture determination

Abhay M. S Aradhya Andri Ashfahani; Fienny Angelina; Mahardhika Pratama; Rodrigo Fernandes de Mello; Suresh Sundaram

Information Sciences New York v. 607, p. 638-653, Aug. 2022

New York 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3082027 )(Acessar)

8
Improving regression testing performance using the adaptive resonance theory-2A self-organising neural network architecture
Improving regression testing performance using the adaptive resonance theory-2A self-organising neural network architecture
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Improving regression testing performance using the adaptive resonance theory-2A self-organising neural network architecture

Adenilso da Silva Simão Rodrigo Fernandes de Mello; Luciano José Senger; Laurence Tianruo Yang

International Journal of Autonomous and Adaptive Communications Systems Olney v. 1, n. 3, p. 370-385, 2008

Olney 2008

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-1709921 )(Acessar)

9
Improving regression testing performance using the adaptive resonance theory-2A self-organising neural network architecture
Improving regression testing performance using the adaptive resonance theory-2A self-organising neural network architecture
Material Type:
Artigo 		Adicionar ao Meu Espaço

Improving regression testing performance using the adaptive resonance theory-2A self-organising neural network architecture

Adenilso da Silva Simão Rodrigo Fernandes de Mello; Luciano José Senger; Laurence Tianruo Yang

International Journal of Autonomous and Adaptive Communications Systems Olney v. 1, n. 3, p. 370-385, 2008

Olney 2008

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-1709921 )(Acessar)

10
Designing architectures of convolutional neural networks to solve practical problems
Designing architectures of convolutional neural networks to solve practical problems
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Designing architectures of convolutional neural networks to solve practical problems

Martha Dais Ferreira Débora Cristina Corrêa; Luis Gustavo Nonato; Rodrigo Fernandes de Mello

Expert Systems with Applications Kidlington : Elsevier v. 94, p. 205-217, Mar. 2018

Kidlington 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2859762 )(Acessar)

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Deste Autor:

  1. Mello, R
  2. Senger, L
  3. Yang, L
  4. Simão, A
  5. Curilem, M

Neste Assunto:

  1. Redes Neurais
  2. Aprendizado Computacional
  3. Programação Concorrente
  4. Sistemas Distribuídos
  5. Análise De Séries Temporais

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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