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Redes neurais aplicadas a grafos: uma abordagem semi-supervisionada
(Universidade Federal de São Carlos, 2022-04-18)
In this work, we propose an in-depth analysis of Graph Convolutional Networks, a semi-supervised machine learning method for node classification in graph-structured data. Based on the seminal work proposed by Thomas Kipf ...
Modelo de predição para dados desbalanceados utilizando informações de financiamentos de veículos
(Universidade Federal de São Carlos, 2023-03-28)
For the statistics thesis project, a model adjustment is proposed for unbalanced data,
using vehicle financing information, with the response variable being dichotomous, divided
into defaulters and non-defaulters. ...
Máquinas de vetores suporte com aplicação em classificação de crédito
(Universidade Federal de São Carlos, 2023-03-22)
The credit granting represents one of the products with the highest profitability within a financial institution. However, to ensure profit, institutions must know to whom they lend their capital. In this scenario, a ...
Utilização de algoritmos de classificação para diagnóstico de diabetes
(Universidade Federal de São Carlos, 2024-02-15)
The undergraduate thesis consists of the study of binary classification algorithms for diagnosing diabetes based on clinical data and physical activity data. For this purpose, we will accomplish a statistical and conceptual ...
Estudo da prevalência de transtornos mentais comuns via métodos de classificação
(Universidade Federal de São Carlos, 2024-02-16)
The present undergraduate thesis focuses on the study of the association between specific variables and the diagnosis of common mental disorders. To achieve this goal, we examined classification methods, namely decision ...