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Refinado por: autor: Silva, T remover
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Geographic context-based stacking learning for election prediction from socio-economic data
Geographic context-based stacking learning for election prediction from socio-economic data
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Geographic context-based stacking learning for election prediction from socio-economic data

Tiago Pinho da Silva Antonio Rafael Sabino Parmezan; Gustavo Enrique de Almeida Prado Alves Batista; Brazilian Conference on Intelligent Systems - BRACIS (11. 2022 Campinas)

Lecture Notes in Artificial Intelligence Cham : Springer v. 13653, p. 641-657, 2022

Cham Springer 2022

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3124375 )(Acessar)

2
Learning beyond the spatial autocorrelation structure: A machine learning- based approach to discovering new patterns and relationships in the context of spatially contextualized modeling of voting behavior
Learning beyond the spatial autocorrelation structure: A machine learning- based approach to discovering new patterns and relationships in the context of spatially contextualized modeling of voting behavior
Material Type:
Tese de Doutorado 		Adicionar ao Meu Espaço

Learning beyond the spatial autocorrelation structure: A machine learning- based approach to discovering new patterns and relationships in the context of spatially contextualized modeling of voting behavior

Silva, Tiago Pinho Da

Biblioteca Digital de Teses e Dissertações da USP; Universidade de São Paulo; Instituto de Ciências Matemáticas e de Computação 2023-08-22

Acesso online

3
A graph-based spatial cross-validation approach for assessing models learned with selected features to understand election results
A graph-based spatial cross-validation approach for assessing models learned with selected features to understand election results
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

A graph-based spatial cross-validation approach for assessing models learned with selected features to understand election results

Tiago Pinho da Silva Antonio Rafael Sabino Parmezan; Gustavo Enrique de Almeida Prado Alves Batista; IEEE International Conference on Machine Learning and Applications - ICMLA

Proceedings Piscataway : IEEE, 2021

Piscataway IEEE 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3068745 )(Acessar)

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