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Modelos de regressão defeituosos zero ajustados aplicados a dados de risco de crédito
(Universidade Federal de São Carlos, 2023-08-18)
With the increase in consumption of goods, services, and credit granting, it becomes necessary to control the risk of the process. This measure aims to prevent a possible default rate higher than what financial institutions ...
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 ...
Long and short por cointegração aplicado ao mercado acionário brasileiro
(Universidade Federal de São Carlos, 2023-09-06)
In this article, we conduct a detailed analysis of the long and short investment strategy with cointegration in the Brazilian stock market. We explore the correlation between pairs of stocks and propose a trading approach ...
Comparação de penetrômetros e identificação de fatores na resistência mecânica do solo à penetração via modelos mistos
(Universidade Federal de São Carlos, 2024-01-31)
It is common knowledge that one of the main sources of the Brazilian economy is attributed to agriculture. In Brazil, agriculture is a competitive field, being a very rich and diversified economic sector, as well as a ...
Seleção estatística de árvores de contexto
(Universidade Federal de São Carlos, 2024-01-22)
Context trees are models that parsimoniously generalize Markovian models. These models were introduced by Jorma Rissanen in 1983, as an efficient tool in Information Theory. Since then, these models have been widely used ...
Classificação binária de dados financeiros em problemas com classes desbalanceadas
(Universidade Federal de São Carlos, 2024-01-29)
In order to mitigate the risks and uncertainties associated with credit granting, financial institutions are constantly exploring methods to enhance the credit evaluation system. In the same context, the growth in credit ...
Análise e previsão de séries temporais via Facebook Prophet
(Universidade Federal de São Carlos, 2024-01-29)
Forecasting is an estimate or projection of what may happen in the future based on information and data available from the past and present. In other words, it is an attempt to make an informed guess about what is likely ...
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 ...
Estimação, seleção e predição de redes de neurônios estocásticos com memória de alcance variável
(Universidade Federal de São Carlos, 2024-02-02)
The nervous system is subjected to various sources of noise. Neuronal activity recordings reveal that part of this noise is due to electrical firings occurring spontaneously and irregularly, with variations even when the ...
Modelo de classificação para dados desbalanceados: método SMOTE e variantes
(Universidade Federal de São Carlos, 2024-01-29)
Often, in classification models, we encounter databases that have highly imbalanced classes, such as: rare disease diagnostic data, manufacturing defects, fraudulent transactions, etc. Training a model on a dataset with ...