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Refinado por: Nome da Publicação: Knowledge-Based Systems remover
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1
Using the one-vs-one decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems
Using the one-vs-one decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems
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Using the one-vs-one decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems

Luís P. F Garcia José A Sáez; Julián Luengo; Ana C Lorena; André Carlos Ponce de Leon Ferreira de Carvalho; Francisco Herrera

Knowledge-Based Systems Amsterdam : Elsevier v. 90, p. 153-164, Dec. 2015

Amsterdam 2015

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2721161 )(Acessar)

2
Online adaptive decision trees based on concentration inequalities
Online adaptive decision trees based on concentration inequalities
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Online adaptive decision trees based on concentration inequalities

Isvani Frías-Blanco José del Campo-Ávila; Gonzalo Ramos-Jiménez; André Carlos Ponce de Leon Ferreira de Carvalho; Agustín Ortiz-Díaz; Rafael Morales-Bueno

Knowledge-Based Systems Amsterdam : Elsevier v. 104, p. 179-194, Jul. 2016

Amsterdam 2016

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2756039 )(Acessar)

3
Simultaneous co-clustering and learning to address the cold start problem in recommender systems
Simultaneous co-clustering and learning to address the cold start problem in recommender systems
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Simultaneous co-clustering and learning to address the cold start problem in recommender systems

Andre Luiz Vizine Pereira Eduardo Raul Hruschka 1972-

Knowledge-Based Systems Amsterdam : Elsevier v. 82, p. 11-19, jul. 2015

Amsterdam 2015

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2681091 )(Acessar)

4
Using bipartite heterogeneous networks to speed up inductive semi-supervised learning and improve automatic text categorization
Using bipartite heterogeneous networks to speed up inductive semi-supervised learning and improve automatic text categorization
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Using bipartite heterogeneous networks to speed up inductive semi-supervised learning and improve automatic text categorization

Rafael Geraldeli Rossi Alneu de Andrade Lopes; Solange Oliveira Rezende

Knowledge-Based Systems Amsterdam : Elsevier v. 132, p. 94-118, Sep. 2017

Amsterdam 2017

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2841661 )(Acessar)

5
New label noise injection methods for the evaluation of noise filters
New label noise injection methods for the evaluation of noise filters
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New label noise injection methods for the evaluation of noise filters

Luís P. F Garcia Jens Lehmann; André Carlos Ponce de Leon Ferreira de Carvalho; Ana Carolina Lorena

Knowledge-Based Systems Amsterdam : Elsevier v. 163, p. 693-704, Jan. 2019

Amsterdam 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2922435 )(Acessar)

6
A meta-learning approach for recommending the number of clusters for clustering algorithms
A meta-learning approach for recommending the number of clusters for clustering algorithms
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A meta-learning approach for recommending the number of clusters for clustering algorithms

Bruno Almeida Pimentel André Carlos Ponce de Leon Ferreira de Carvalho

Knowledge-Based Systems Amsterdam : Elsevier v. 195, p. 1-14, May 2020

Amsterdam 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2991650 )(Acessar)

7
Meta-features for meta-learning
Meta-features for meta-learning
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Meta-features for meta-learning

Adriano Rivolli Luís Paulo Faina Garcia; Carlos Soares; Joaquin Vanschoren; André Carlos Ponce de Leon Ferreira de Carvalho

Knowledge-Based Systems Amsterdam v. 240, p. 1-21, Mar. 2022

Amsterdam 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3060438 )(Acessar)

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