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Refinado por: assunto: Reconhecimento De Padrões remover
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1
Anomaly detection through temporal abstractions on intensive care data position paper
Anomaly detection through temporal abstractions on intensive care data position paper
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Anomaly detection through temporal abstractions on intensive care data position paper

Giovana Jaskulski Gelatti André Carlos Ponce de Leon Ferreira de Carvalho; Pedro Pereira Rodrigues; International Symposium on Computer-Based Medical Systems - CBMS (30. 2017 Thessaloniki)

Proceedings Los Alamitos : IEEE, 2017

Los Alamitos IEEE 2017

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2865281 )(Acessar)

2
Hyper-parameter tuning of a decision tree induction algorithm
Hyper-parameter tuning of a decision tree induction algorithm
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Hyper-parameter tuning of a decision tree induction algorithm

Rafael G Mantovani Tomás Horváth; Ricardo Cerri; Joaquin Vanschoren; André Carlos Ponce de Leon Ferreira de Carvalho; Brazilian Conference on Intelligent Systems - BRACIS (5. 2016 Recife)

Proceedings Piscataway : IEEE, 2016

Piscataway IEEE 2016

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2807734 )(Acessar)

3
Multi-label feature selection techniques for hierarchical multi-label protein function prediction
Multi-label feature selection techniques for hierarchical multi-label protein function prediction
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Multi-label feature selection techniques for hierarchical multi-label protein function prediction

Ricardo Cerri Rafael G Mantovani; Márcio P Basgalupp; André Carlos Ponce de Leon Ferreira de Carvalho; International Joint Conference on Neural Networks - IJCNN (2018 Rio de Janeiro)

Proceedings Piscataway : IEEE, 2018

Piscataway IEEE 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2908714 )(Acessar)

4
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
Material Type:
Artigo 		Adicionar ao Meu Espaço

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)

5
Evaluating clustering meta-features for classifier recommendation
Evaluating clustering meta-features for classifier recommendation
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Evaluating clustering meta-features for classifier recommendation

Luís Paulo Faina Garcia Felipe Campelo; Guilherme N Ramos; Adriano Rivolli; André Carlos Ponce de Leon Ferreira de Carvalho; Brazilian Conference on Intelligent Systems - BRACIS (10. 2021 Virtual Event)

Lecture Notes in Artificial Intelligence Cham : Springer v. 13073, p. 453-467, 2021

Cham Springer 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3052785 )(Acessar)

6
An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms
An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms
Material Type:
Artigo 		Adicionar ao Meu Espaço

An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms

Márcio Porto Basgalupp Rodrigo Coelho Barros; Alex Guimarães Cardoso de Sá; Gisele Lobo Pappa; Rafael Gomes Mantovani; André Carlos Ponce de Leon Ferreira de Carvalho; Alex A Freitas

Evolutionary Intelligence Heidelberg v. 14, n. 4, p. 1895-1914, Dec. 2021

Heidelberg 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3003606 )(Acessar)

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

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