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Resultados de 1 a 10 de 15  para Produção Intelectual da USP

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Refinado por: Nome da Publicação: Neurocomputing remover
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1
Network-based supervised data classification by using an heuristic of ease of access
Network-based supervised data classification by using an heuristic of ease of access
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Network-based supervised data classification by using an heuristic of ease of access

Thiago H. Cupertino Liang Zhao; Murillo G Carneiro

Neurocomputing Amsterdam v. 149, part. A, p. 86-92, 2015

Amsterdam 2015

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 2693177 Estantes Deslizantes )(Acessar)

2
Noise detection in the meta-learning level
Noise detection in the meta-learning level
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Noise detection in the meta-learning level

Luís P. F Garcia André Carlos Ponce de Leon Ferreira de Carvalho; Ana C Lorena

Neurocomputing Amsterdam : Elsevier v. 176, p. 14-25, Feb. 2016

Amsterdam 2016

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2694554 )(Acessar)

3
A systematic review of multi-label feature selection and a new method based on label construction
A systematic review of multi-label feature selection and a new method based on label construction
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A systematic review of multi-label feature selection and a new method based on label construction

Newton Spolaôr Maria Carolina Monard; Grigorios Tsoumakas; Huei Diana Lee

Neurocomputing Amsterdam : Elsevier v. 180, p. 3-15, Mar. 2016

Amsterdam 2016

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2734339 )(Acessar)

4
Combining clustering and active learning for the detection and learning of new image classes
Combining clustering and active learning for the detection and learning of new image classes
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Combining clustering and active learning for the detection and learning of new image classes

Luiz Fernando Sommaggio Coletta Moacir Antonelli Ponti; Eduardo Raul Hruschka 1972-; Ayan Acharya; Joydeep Ghosh

Neurocomputing Amsterdam : Elsevier v. 358, p. 150-165, Sep. 2019

Amsterdam 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2942142 )(Acessar)

5
Leveraging convergence behavior to balance conflicting tasks in multitask learning
Leveraging convergence behavior to balance conflicting tasks in multitask learning
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Leveraging convergence behavior to balance conflicting tasks in multitask learning

Angelica Tiemi Mizuno Nakamura Valdir Grassi Júnior; Denis Fernando Wolf

Neurocomputing Amsterdam, Netherlands : Elsevier, 2022 v. 511, p. 43-53, 2022

Amsterdam, Netherlands Springer 2022

Localização: EESC - Esc. Engenharia de São Carlos    (PROD-025249 )(Acessar)

6
The NN-stacking feature weighted linear stacking through neural networks
The NN-stacking feature weighted linear stacking through neural networks
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The NN-stacking feature weighted linear stacking through neural networks

Victor Coscrato Marco Henrique de Almeida Inacio; Rafael Izbicki

Neurocomputing Amsterdam : Elsevier v. 399, p. 141-152, July 2020

Amsterdam 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2995047 )(Acessar)

7
Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem a comparison of meta-features
Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem a comparison of meta-features
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Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem a comparison of meta-features

Jorge Kanda André Carlos Ponce de Leon Ferreira de Carvalho; Eduardo Raul Hruschka 1972-; Carlos Soares; Pavel Brazdil

Neurocomputing Amsterdam : Elsevier v. 205, p. 393-406, Sep. 2016

Amsterdam 2016

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2762791 )(Acessar)

8
RGCLI robust graph that considers labeled instances for semi-supervised learning
RGCLI robust graph that considers labeled instances for semi-supervised learning
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RGCLI robust graph that considers labeled instances for semi-supervised learning

Lilian Berton Thiago de Paulo Faleiros; Alan Valejo; Jorge Valverde-Rebaza; Alneu de Andrade Lopes

Neurocomputing Amsterdam : Elsevier v. 226, p. 238-248, Feb. 2017

Amsterdam 2017

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2793104 )(Acessar)

9
Evolutionary tuning of SVM parameter values in multiclass problems
Evolutionary tuning of SVM parameter values in multiclass problems
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Evolutionary tuning of SVM parameter values in multiclass problems

Ana Carolina Lorena André Carlos Ponce de Leon Ferreira de Carvalho

Neurocomputing Amsterdam : Elsevier v. 71, n. 16-18, p. 3326-3334, Oct. 2008

Amsterdam 2008

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2889639 )(Acessar)

10
Leveraging convergence behavior to balance conflicting tasks in multitask learning
Leveraging convergence behavior to balance conflicting tasks in multitask learning
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Artigo 		Adicionar ao Meu Espaço

Leveraging convergence behavior to balance conflicting tasks in multitask learning

Angelica Tiemi Mizuno Nakamura Valdir Grassi Júnior; Denis Fernando Wolf

Neurocomputing Amsterdam : Elsevier v. 511, p. 43-53

Amsterdam 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3098341 )(Acessar)

Resultados de 1 a 10 de 15  para Produção Intelectual da USP

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Deste Autor:

  1. Carvalho, A
  2. Garcia, L
  3. Faleiros, T
  4. Hruschka, E
  5. Lorena, A

Neste Assunto:

  1. Aprendizado Computacional
  2. Inteligência Artificial
  3. Redes Neurais
  4. Reconhecimento De Padrões
  5. Regressão Linear

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

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