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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 ...
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 ...
Métodos de colapsagem de variantes raras para mapeamento de QTLs
(Universidade Federal de São Carlos, 2024-01-30)
The mapping of regions in the genome associated with quantitative traits (QTLs) through SNP-type genetic markers has been one of the central problems in Genetics and Molecular Biology and several methods of detection and ...
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 ...
Um estudo do número de inscrições e dos inscritos no ENEM no período de 2013 a 2022
(Universidade Federal de São Carlos, 2024-01-16)
The Instituto Nacional de Estudos e Pesquisas Educacionais An´ısio Teixeira (INEP)
is a federal agency linked to the Minist´erio da Educa¸c˜ao (MEC) and aims to promote educational actions in Brazil. It plays a fundamental ...
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 ...
Prevendo a popularidade de um post no Instagram via métodos de Machine Learning
(Universidade Federal de São Carlos, 2024-01-24)
This work was motivated by the current technological scenario in which we live, where people are increasingly connected on social networks, generating a vast amount of data daily. If used appropriately, these data can ...
Modelo de regressão logı́stica com mistura de distribuições : estimadores de máxima verossimilhança e bayesiano utilizando o Stan
(Universidade Federal de São Carlos, 2024-02-02)
We explore the logist regression model, estimating its parameters through maximum likelihood and Bayesian estimators.
We use mixtures of distributions for 𝐾 = 1 and 2 components.
The Hamiltonian Monte Carlo implemented ...
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 ...