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Refinado por: Nome da Publicação: Information Sciences remover idioma: Inglês remover
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1
A new data characterization for selecting clustering algorithms using meta-learning
A new data characterization for selecting clustering algorithms using meta-learning
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A new data characterization for selecting clustering algorithms using meta-learning

Bruno Almeida Pimentel André Carlos Ponce de Leon Ferreira de Carvalho

Information Sciences New York : Elsevier v. 477, p. 203-219, Mar. 2019

New York 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2914362 )(Acessar)

2
Metalearning and recommender systems a literature review and empirical study on the algorithm selection problem for collaborative filtering
Metalearning and recommender systems a literature review and empirical study on the algorithm selection problem for collaborative filtering
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Metalearning and recommender systems a literature review and empirical study on the algorithm selection problem for collaborative filtering

Tiago Cunha Carlos Soares; André Carlos Ponce de Leon Ferreira de Carvalho

Information Sciences New York : Elsevier v. 423, p. 128-144, Jan. 2018

New York 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2855018 )(Acessar)

3
A meta-learning recommender system for hyperparameter tuning predicting when tuning improves SVM classifiers
A meta-learning recommender system for hyperparameter tuning predicting when tuning improves SVM classifiers
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A meta-learning recommender system for hyperparameter tuning predicting when tuning improves SVM classifiers

Rafael G Mantovani André Luis Debiaso Rossi; Edesio Alcobaça; Joaquin Vanschoren; André Carlos Ponce de Leon Ferreira de Carvalho

Information Sciences New York : Elsevier v. 501, p. 193-221, Oct. 2019

New York 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2948367 )(Acessar)

4
Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning
Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning
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Evolutionary inversion of class distribution in overlapping areas for multi-class imbalanced learning

Everlandio Rebouças Queiroz Fernandes André Carlos Ponce de Leon Ferreira de Carvalho

Information Sciences New York : Elsevier v. 494, p. 141-154, Aug. 2019

New York 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2940676 )(Acessar)

5
Hybrid intelligent algorithms and applications [Editorial]
Hybrid intelligent algorithms and applications [Editorial]
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Hybrid intelligent algorithms and applications [Editorial]

Emilio Corchado Ajith Abraham; André Carlos Ponce de Leon Ferreira de Carvalho

Information Sciences New York : Elsevier v. 180, n. 14, p. 2633-2634, July 2010

New York 2010

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2860411 )(Acessar)

6
Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation
Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation
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Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation

Márcio P Basgalupp Rodrigo C Barros; André Carlos Ponce de Leon Ferreira de Carvalho; Alex A Freitas

Information Sciences New York : Elsevier v. 258, p. 160-181, fev. 2014

New York 2014

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2406862 )(Acessar)

7
Micro-MetaStream algorithm selection for time-changing data
Micro-MetaStream algorithm selection for time-changing data
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Micro-MetaStream algorithm selection for time-changing data

André Luis Debiaso Rossi Carlos Soares; Bruno Feres de Souza; André Carlos Ponce de Leon Ferreira de Carvalho

Information Sciences New York v. 565, p. 262-277, July 2021

New York 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3028527 )(Acessar)

8
Using meta-learning for multi-target regression
Using meta-learning for multi-target regression
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Using meta-learning for multi-target regression

Gabriel Jones Aguiar Everton José Santana; André Carlos Ponce de Leon Ferreira de Carvalho; Sylvio Barbon Júnior

Information Sciences New York v. 584, p. 665-684, Jan. 2022

New York 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3052362 )(Acessar)

9
Assessing the data complexity of imbalanced datasets
Assessing the data complexity of imbalanced datasets
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Assessing the data complexity of imbalanced datasets

Victor Hugo Barella Luís Paulo Faina Garcia; Marcílio Carlos Pereira de Souto; Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho

Information Sciences New York : Elsevier v. 553, p. 83-109, Apr. 2021

New York 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3016931 )(Acessar)

10
Neural architecture search with interpretable meta-features and fast predictors
Neural architecture search with interpretable meta-features and fast predictors
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Neural architecture search with interpretable meta-features and fast predictors

Gean Trindade Pereira Iury Batista de Andrade Santos; Luís Paulo Faina Garcia; Thierry Urruty; Muriel Visani; André Carlos Ponce de Leon Ferreira de Carvalho

Information Sciences New York v. 649, p. 1-17, Nov. 2023

New York 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3155987 )(Acessar)

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