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Refinado por: Nome da Publicação: Lecture Notes in Computer Science remover
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11
Process scheduling using ant colony optimization techniques
Process scheduling using ant colony optimization techniques
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Process scheduling using ant colony optimization techniques

Bruno Rodrigues Nery Rodrigo Fernandes de Mello; André Carlos Ponce de Leon Ferreira Carvalho; Laurence Tianruo Yang; International Symposium Parallel and Distributed Processing and Applications (4. 2006 Sorrento)

Lecture Notes in Computer Science Berlin v. 4330, p. 304-316, 2006

Berlim Springer 2006

Acesso online. A biblioteca também possui exemplares impressos.

12
Consensus clustering using spectral theory
Consensus clustering using spectral theory
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Consensus clustering using spectral theory

Mariá Cristina Vasconcelos Nascimento Franklina Maria Bragion de Toledo; André Carlos Ponce de Leon Ferreira Carvalho; International Conference - ICONIP 2008 (15. 2008 Auckland)

Lecture Notes in Computer Science Heidelberg v. 5506, p. 461-468, 2009

Heidelberg Springer 2009

Acesso online. A biblioteca também possui exemplares impressos.

13
Node-depth encoding for evolutionary algorithms applied to network design
Node-depth encoding for evolutionary algorithms applied to network design
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Node-depth encoding for evolutionary algorithms applied to network design

Alexandre Claudio Botazzo Delbem André Carlos Ponce de Leon Ferreira Carvalho; Claudio Adriano Policastro; Adriano K O Pinto; Karen Honda; Anderson C Garcia; Genetic and Evolutionary Computation - GECCO 2004 (2004 Seattle)

Lecture Notes in Computer Science Heidelberg v. 3102, p. 678-687, 2004

Heidelberger Springer 2004

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-1453753 ) e outros locais(Acessar)

14
Using genetic algorithms to improve prediction of execution times of ML tasks
Using genetic algorithms to improve prediction of execution times of ML tasks
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Using genetic algorithms to improve prediction of execution times of ML tasks

Rattan Priya Bruno Feres de Souza; André L. D Rossi; André Carlos Ponce de Leon Ferreira de Carvalho; International Conference on Hybrid Artificial Intelligent Systems - HAIS (7. 2012 Salamanca)

Lecture Notes in Computer Science Berlin : Springer-Verlag v. 7208, p. 196-207, 2012

Berlin Springer-Verlag 2012

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2292624 )(Acessar)

15
An experimental study of the combination of meta-learning with particle swarm algorithms for SVM parameter selection
An experimental study of the combination of meta-learning with particle swarm algorithms for SVM parameter selection
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

An experimental study of the combination of meta-learning with particle swarm algorithms for SVM parameter selection

Péricles B. C Miranda Ricardo B. C Prudêncio; André Carlos Ponce de Leon Ferreira de Carvalho; Carlos Soares; International Conference on Computational Science and its Applications - ICCSA (12. 2012 Salvador de Bahia)

Lecture Notes in Computer Science Berlin : Springer-Verlag v. 7335, p. 562-575, 2012

Berlin Springer-Verlag 2012

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2296373 )(Acessar)

16
Preprocessing technique for cluster editing via Integer Linear Programming
Preprocessing technique for cluster editing via Integer Linear Programming
Material Type:
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Preprocessing technique for cluster editing via Integer Linear Programming

Luiz Henrique Nogueira Lorena Marcos Gonçalves Quiles; André Carlos Ponce de Leon Ferreira de Carvalho; Luiz Antonio Nogueira Lorena; International Conference on Intelligent Computing Theories and Application - ICIC (14. 2018 Wuhan, China)

Lecture Notes in Computer Science Cham : Springer v. 10954, p. 287-297, 2018

Cham Springer 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2901993 )(Acessar)

17
Unsupervised domain adaptation for human activity recognition
Unsupervised domain adaptation for human activity recognition
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Unsupervised domain adaptation for human activity recognition

Paulo Barbosa Kemilly Dearo Garcia; João Mendes Moreira; André Carlos Ponce de Leon Ferreira de Carvalho; International Conference on Intelligent Data Engineering and Automated Learning - IDEAL (19. 2018 Madrid)

Lecture Notes in Computer Science Cham : Springer v. 11314, p. 623-630, 2018

Cham Springer 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2935897 )(Acessar)

18
Improving portfolio optimization using weighted link prediction in dynamic stock networks
Improving portfolio optimization using weighted link prediction in dynamic stock networks
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Improving portfolio optimization using weighted link prediction in dynamic stock networks

Douglas Castilho João Gama; Leandro Resende Mundim; André Carlos Ponce de Leon Ferreira de Carvalho; International Conference on Computational Science - ICCS (19. 2019 Faro, Portugal)

Lecture Notes in Computer Science Cham : Springer v. 11538, p. 340-353, 2019

Cham Springer 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2946979 )(Acessar)

19
Multi-objective basic variable neighborhood search for portfolio selection
Multi-objective basic variable neighborhood search for portfolio selection
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Multi-objective basic variable neighborhood search for portfolio selection

Thiago Alves de Queiroz Leandro Resende Mundim; André Carlos Ponce de Leon Ferreira de Carvalho; International Conference on Variable Neighborhood Search - ICVNS (7. 2019 Rabat, Morocco)

Lecture Notes in Computer Science Cham : Springer v. 12010, p. 67–80, 2020

Cham Springer 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2996765 )(Acessar)

20
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
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

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)

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