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Refinado por: autor: Reis, D remover
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1
DyS a framework for mixture models in quantification
DyS a framework for mixture models in quantification
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

DyS a framework for mixture models in quantification

André Gustavo Maletzke Denis dos Reis; Everton Alvares Cherman; Gustavo Enrique de Almeida Prado Alves Batista; AAAI Conference on Artificial Intelligence - AAAI (33. 2019 Honolulu)

Proceedings Palo Alto : AAAI Press, 2019

Palo Alto AAAI Press 2019

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2946973 )(Acessar)

2
One-class quantification
One-class quantification
Material Type:
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)

3
On the need of class ratio insensitive drift tests for data streams
On the need of class ratio insensitive drift tests for data streams
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

On the need of class ratio insensitive drift tests for data streams

André Gustavo Maletzke Denis dos Reis; Everton Alvares Cherman; Gustavo Enrique de Almeida Prado Alves Batista; European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database - ECML PKDD (2018 Dublin); International Workshop on Learning with Imbalanced Domains: Theory and Applications - LIDTA (2. 2018 Dublin)

Proceedings of Machine Learning Research : PMLR Brookline : Microtome Publishing v. 94, p. 110-124, 2018

Brookline Microtome Publishing 2018

Acesso online. A biblioteca também possui exemplares impressos.

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

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