Listar Estatística - Es por tipo de documento "TCC"
Mostrando ítems 21-40 de 58
-
Estratégias de reamostragem aplicadas em problemas de classificação binária de dados financeiros
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/08/2023)Many binary classification problems exhibit unbalanced classes, which consists of one of the two classes being significantly more numerous than the other. The minority class is the least representative, with far fewer ... -
Estimação paramétrica do modelo de mistura padrão com fragilidade aditiva gama: aplicação a dados de câncer de mama
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/09/2022)Breast cancer is caused by the uncontrolled growth of abnormal cells in the breast, which multiply rapidly, aggressively and uncontrollably. This disease affects women all over the world, both in developed and underdeveloped ... -
Um perfil do comportamento e características dos indivíduos frente a covid-19 a partir da pnad covid19
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 09/09/2022)The National Household Sample Survey (PNAD), which is conducted by IBGE, consists of general characteristics of the population, education, labor, income and housing. The COVID-19 pandemic, started in March 2020, imposed ... -
Modelagem de fração cura com a distribuição Gompertz
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/09/2022)Survival Analysis is a broad and crucial field of Statistical Science. Survival models are useful for estimating the reliability function, describe data properties and more. Considering medical studies, the aim is ... -
A estatística no futebol: uma análise dos principais fatores que influenciam o número de gols feitos pelos jogadores no campeonato inglês
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 26/01/2023)Soccer is considered one of the most popular sports in the world and its relevance is reflected not only in the crowds that fill the stadiums around the 5 continents within the most varied championships, but also proves ... -
Redes neurais aplicadas a grafos: uma abordagem semi-supervisionada
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/04/2022)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 ... -
Um estudo sobre os impactos de algumas medidas sanitárias na incidência e mortalidade por COVID-19
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 07/04/2022)Since March 2020, Brazil, like the whole world, has been facing a major pandemic caused by COVID-19 (SARS-CoV-2). COVID-19 is a highly transmissible respiratory infection and for this reason governments around the world ... -
Estudo e comparação das técnicas de validação cruzada desenvolvidas para séries temporais
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/04/2022)Testing the generalization capacity of an algorithm obtained is crucial for any prediction methodology, for which cross-validation methods were developed. However, when dealing with data that have dependency among observations, ... -
Árvores hibridas: particionamento recursivo baseado em modelos paramétricos
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 12/04/2022)The present study seeks to explore hybrid trees, so called called recursive partitioning based on parametric models. Such method is based on traditional decision trees (regression and classification tree) and parametric ... -
Um estudo sobre a provisão de consórcio com séries temporais e machine learning
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 07/04/2022)The consortium sector of a particular company works by dividing its customers into groups that start and finish at the same time the payment of installments of a combined amount to obtain their own vehicle. The acquisition ... -
Utilização de métodos de aprendizado de máquina para estimação de escores de propensão
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 18/04/2022)Increasingly larger and more complex databases can be easily obtained and appropriate technologies for modeling massive amounts of data become increasingly necessary in order to optimize results and predictions. Machine ... -
Análise, seleção e agrupamento de características relevantes das equipes da NFL durante os anos de 2013-2016 e suas relações - um estudo de caso
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 14/09/2022)On this work, the study of different NFL (National Football League) variables was proposed, with the main goal of analysing, selecting and clustering their characteristics and its correlations. Data on the official NFL ... -
Inferência da conectividade neuronal e o modelo de Galves e Löcherbach
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/09/2022)One of the most important issues in neuroscience is to understand the dynamics of animal behavior, that is, the joint action of large numbers of neurons, body parts, and the environment. The relationship between this ... -
Análise do desempenho de jogadoras de Handebol do Campeonato Mundial Feminino Juvenil
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 10/11/2021)Athlete performance analysis has become increasingly relevant for In different sports, handball is no different. To perform data classification cluster analysis is a great option. Will be used in this work, some grouping ... -
Prevendo a popularidade de um post no Instagram via métodos de Machine Learning
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 24/01/2024)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 ... -
Métodos de detecção de fraude em cartões de crédito: um estudo comparativo
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 14/04/2022)The arrival of the pandemic radically changed the consumption habits of goods and services, starting to occur almost exclusively in the virtual world, which in turn, in the context of fraud, has a greater number of loopholes ... -
Modelo de mistura padrão com fragilidade gama: aplicação a dados de melanoma
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 26/01/2024)Cancer is a malignant disease that can affect several organs. When it spreads throughout the body and reaches other organs, it is called metastasis, and this is the leading cause of cancer-related death. Although skin ... -
Modelo de regressão logı́stica com mistura de distribuições : estimadores de máxima verossimilhança e bayesiano utilizando o Stan
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 02/02/2024)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 ... -
Seleção de marcadores SNP: uma aplicação com diferentes metodologias
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 25/09/2020)The quantity and complexity of generated data due to advances in genetic sequencing technologies has made statistical analysis an essential tool for their correct study and interpretation. However, there is still no agreement ... -
Modelo de Séries Temporais Autorregressivo Periódico - PAR
(Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 20/06/2021)This work presents the study of a type of time series model, called of periodic autoregressive model, which emerged from the researches of Thomas and Fiering (1962), according to Hipel and McLeod (1994). Its use is mainly ...