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Refinado por: Nome da Publicação: Lecture Notes in Artificial Intelligence remover
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1
Online clustering for novelty detection and concept drift in data streams
Online clustering for novelty detection and concept drift in data streams
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Online clustering for novelty detection and concept drift in data streams

Kemilly Dearo Garcia Mannes Poel; Joost N Kok; André Carlos Ponce de Leon Ferreira de Carvalho; EPIA Conference on Artificial Intelligence - EPIA (19. 2019 Vila Real, Portugal)

Lecture Notes in Artificial Intelligence Cham : Springer v. 11805, p. 448-459, 2019

Cham Springer 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2968902 )(Acessar)

2
Ensemble clustering for novelty detection in data streams
Ensemble clustering for novelty detection in data streams
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Ensemble clustering for novelty detection in data streams

Kemilly Dearo Garcia Elaine Ribeiro de Faria; Cláudio Rebelo de Sá; João Mendes-Moreira; Charu C Aggarwal; André Carlos Ponce de Leon Ferreira de Carvalho; Joost N Kok; International Conference on Discovery Science - DS (22. 2019 Split, Croatia)

Lecture Notes in Artificial Intelligence Cham : Springer v. 11828, p. 460-470, 2019

Cham Springer 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2985642 )(Acessar)

3
Data streams are time series challenging assumptions
Data streams are time series challenging assumptions
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Data streams are time series challenging assumptions

Jesse Read Ricardo A Rios; Tatiane Nogueira; Rodrigo Fernandes de Mello; Brazilian Conference on Intelligent Systems - BRACIS (9. 2020 Rio Grande)

Lecture Notes in Artificial Intelligence Cham : Springer v. 12320, p. 529-543, 2020

Cham Springer 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3008278 )(Acessar)

4
Quantifying temporal novelty in social networks using time-varying graphs and concept drift detection
Quantifying temporal novelty in social networks using time-varying graphs and concept drift detection
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Quantifying temporal novelty in social networks using time-varying graphs and concept drift detection

Victor M. G. dos Santos Rodrigo Fernandes de Mello; Tatiane Nogueira; Ricardo A Rios; Brazilian Conference on Intelligent Systems - BRACIS (9. 2020 Rio Grande)

Lecture Notes in Artificial Intelligence Cham : Springer v. 12320, p. 650-664, 2020

Cham Springer 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3008282 )(Acessar)

5
Evaluation of error metrics for meta-learning label definition in the forecasting task
Evaluation of error metrics for meta-learning label definition in the forecasting task
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Evaluation of error metrics for meta-learning label definition in the forecasting task

Moises Rocha dos Santos Leandro Resende Mundim; André Carlos Ponce de Leon Ferreira de Carvalho; International Conference on Hybrid Artificial Intelligence Systems - HAIS (15. 2020 Gijón, Spain)

Lecture Notes in Artificial Intelligence Cham : Springer v. 12344, p. 397-409, 2020

Cham Springer 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3009692 )(Acessar)

6
Model performance prediction a meta-learning approach for concept drift detection
Model performance prediction a meta-learning approach for concept drift detection
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Model performance prediction a meta-learning approach for concept drift detection

Fernanda Amaral Melo André Carlos Ponce de Leon Ferreira de Carvalho; Ana Carolina Lorena; Luís Paulo Faina Garcia; International Conference on Hybrid Artificial Intelligence Systems - HAIS (18. 2023 Salamanca, Spain)

Lecture Notes in Artificial Intelligence Cham : Springer v. 14001, p. 51-62, 2023

Cham Springer 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3179121 )(Acessar)

7
Feature-based time series classification for service request opening prediction in the telecom industry
Feature-based time series classification for service request opening prediction in the telecom industry
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Feature-based time series classification for service request opening prediction in the telecom industry

Fabíola Souza Fernandes Pereira André Carlos Ponce de Leon Ferreira de Carvalho; Rafael Assis; Maxley Costa; Elaine R Faria; Rita Maria Silva Julia; Umberto Barcelos; Jony Melo; EPIA Conference on Artificial Intelligence - EPIA (19. 2019 Vila Real, Portugal)

Lecture Notes in Artificial Intelligence Cham : Springer v. 11805, p. 120-132, 2019

Cham Springer 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2968832 )(Acessar)

8
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)

9
Sequential short-text classification from multiple textual representations with weak supervision
Sequential short-text classification from multiple textual representations with weak supervision
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Sequential short-text classification from multiple textual representations with weak supervision

Ivan José Reis Filho Luiz Henrique Dutra Martins; Antonio Rafael Sabino Parmezan; Ricardo Marcondes Marcacini; Solange Oliveira Rezende; Brazilian Conference on Intelligent Systems - BRACIS (11. 2022 Campinas)

Lecture Notes in Artificial Intelligence Cham : Springer v. 13653, p. 165-179, 2022

Cham Springer 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3115401 )(Acessar)

10
2CS correlation-guided split candidate selection in Hoeffding tree regressors
2CS correlation-guided split candidate selection in Hoeffding tree regressors
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

2CS correlation-guided split candidate selection in Hoeffding tree regressors

Saulo Martiello Mastelini 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. 337-351, 2020

Cham Springer 2020

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3008273 )(Acessar)

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