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1
Empirical evaluation of ranking prediction methods for gene expression data classification
Empirical evaluation of ranking prediction methods for gene expression data classification
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Empirical evaluation of ranking prediction methods for gene expression data classification

Bruno Feres de Souza André Carlos Ponce de Leon Ferreira de Carvalho; Carlos Soares; Ibero-American Conference on AI - IBERAMIA (12. 2010 Bahía Blanca)

Lecture Notes in Artificial Intelligence Heidelberg : Springer v. 6433, p. 194-203, 2010

Heidelberg Springer 2010

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2860216 )(Acessar)

2
Recommending collaborative filtering algorithms using subsampling landmarkers
Recommending collaborative filtering algorithms using subsampling landmarkers
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Recommending collaborative filtering algorithms using subsampling landmarkers

Tiago Cunha Carlos Soares; André Carlos Ponce de Leon Ferreira de Carvalho; International Conference on Discovery Science - DS (20. 2017 Kyoto)

Lecture Notes in Artificial Intelligence Cham : Springer v. 10558, p. 189-203, 2017

Cham Springer 2017

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2867467 )(Acessar)

3
One-class quantification
One-class quantification
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Artigo de Congresso 		Adicionar ao Meu Espaço

One-class quantification

Denis dos Reis André Gustavo Maletzke; Everton Alvares Cherman; Gustavo Enrique de Almeida Prado Alves Batista; European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD (2018 Dublin)

Lecture Notes in Artificial Intelligence Cham : Springer v. 11051, p. 273-289, 2019

Cham Springer 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2923420 )(Acessar)

4
Evaluating clustering meta-features for classifier recommendation
Evaluating clustering meta-features for classifier recommendation
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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)

5
Predictive models for differentiation between normal and abnormal EEG through cross-correlation and machine learning techniques
Predictive models for differentiation between normal and abnormal EEG through cross-correlation and machine learning techniques
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Artigo de Congresso 		Adicionar ao Meu Espaço

Predictive models for differentiation between normal and abnormal EEG through cross-correlation and machine learning techniques

Jefferson Tales Oliva João Luís Garcia Rosa; Banff International Research Station for Mathematical Innovation and Discovery Workshop - BIRS (2015 Banff)

Lecture Notes in Artificial Intelligence Cham : Springer v. 10344, p. 134-145, 2017

Cham Springer 2017

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2867198 )(Acessar)

6
Selecting collaborative filtering algorithms using metalearning
Selecting collaborative filtering algorithms using metalearning
Material Type:
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Selecting collaborative filtering algorithms using metalearning

Tiago Cunha Carlos Soares; André Carlos Ponce de Leon Ferreira de Carvalho; European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD (2016 Riva del Garda, Italy)

Lecture Notes in Artificial Intelligence Cham : Springer v. 9852, p. 393-409, 2016

Cham Springer 2016

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2794477 )(Acessar)

7
Use of classification algorithms in noise detection and elimination
Use of classification algorithms in noise detection and elimination
Material Type:
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Use of classification algorithms in noise detection and elimination

André L. B Miranda Luís Paulo F Garcia; André Carlos Ponce de Leon Ferreira de Carvalho; Ana Carolina Lorena; International Conference on Hybrid Artificial Intelligence Systems - HAIS (4. 2009 Salamanca, Spain)

Lecture Notes in Artificial Intelligence Berlin : Springer v. 5572, p. 417-424, 2009

Berlin Springer 2009

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2884609 )(Acessar)

8
Food truck recommendation using multi-label classification
Food truck recommendation using multi-label classification
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Food truck recommendation using multi-label classification

Adriano Rivolli Larissa C Parker; André Carlos Ponce de Leon Ferreira de Carvalho; EPIA Conference on Artificial Intelligence - EPIA (18. 2017 Porto)

Lecture Notes in Artificial Intelligence Cham : Springer v. 10423, p. 585-596, 2017

Cham Springer 2017

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2867491 )(Acessar)

9
A fuzzy approach for classification and novelty detection in data streams under intermediate latency
A fuzzy approach for classification and novelty detection in data streams under intermediate latency
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

A fuzzy approach for classification and novelty detection in data streams under intermediate latency

André Luis Cristiani Tiago Pinho da Silva; Heloisa de Arruda Camargo; Brazilian Conference on Intelligent Systems - BRACIS (9. 2020 Rio Grande)

Lecture Notes in Artificial Intelligence Cham : Springer v. 12320, p. 171-186, 2020

Cham Springer 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3008365 )(Acessar)

10
Simulating complexity measures on imbalanced datasets
Simulating complexity measures on imbalanced datasets
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Simulating complexity measures on imbalanced datasets

Victor Hugo Barella Luís Paulo Faina Garcia; André Carlos Ponce de Leon Ferreira de Carvalho; Brazilian Conference on Intelligent Systems - BRACIS (9. 2020 Rio Grande)

Lecture Notes in Artificial Intelligence Cham : Springer v. 12320, p. 498-512, 2020

Cham Springer 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3008277 )(Acessar)

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