• Estratégias de reamostragem aplicadas em problemas de classificação binária de dados financeiros 

      Sturaro, Rafael Setti Riedel (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 ...
    • Estudo da prevalência de transtornos mentais comuns via métodos de classificação 

      Martinez, Giulia Molina (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/02/2024)
      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 ...
    • Um estudo do número de inscrições e dos inscritos no ENEM no período de 2013 a 2022 

      Arantes, Gabriela de Oliveira (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 16/01/2024)
      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 ...
    • Estudo do teste SNHT (Standart Normal Homogeneity Test) para detecção de pontos de mudança em séries temporais 

      Chianezzi, Giovanna Garutti (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 20/06/2021)
      The study of time series is extremely important for a better understanding how certain events develop over time. To do this, be able to to indicate the exact moment when a given phenomenon changes its pattern of behavior ...
    • Estudo e comparação das técnicas de validação cruzada desenvolvidas para séries temporais 

      Simionato, Daniel (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, ...
    • Um estudo estatístico sobre as redes de aeroportos no Brasil 

      Amancio, Daniele Gentile (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 08/11/2021)
      In this work, we study the evolution of the Brazilian airport networks in order to describe their connectivity structure and to analyze if their structure changed during the pandemic caused by COVID-19. To this end, we ...
    • Um estudo sobre a provisão de consórcio com séries temporais e machine learning 

      Lima, Thais Maíra Gonçalves de (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 ...
    • Um estudo sobre os impactos de algumas medidas sanitárias na incidência e mortalidade por COVID-19 

      Paiuta, Rhayani Aparecida (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 ...
    • Um estudo sobre wavestrap 

      Gremes, Kaê da Silva (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 30/06/2021)
      Wavelets are basis of function spaces that can be used to represent both continuous (functions) and discrete (sequences) signals; wavelets study gained great notoriety after the work of Daubechies, who developed a wavelet ...
    • Feminicídio antes e durante a pandemia 

      Ikeda, Beatriz Luri Yasuda (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 24/08/2023)
      A lot of studies are done to know the effects of coronavirus pandemic in several society aspects, like colateral effects of the disease. One import social aspect is the violence against women wich many times leads to death. ...
    • Inferência da conectividade neuronal e o modelo de Galves e Löcherbach 

      Schiavone, Vitor Gomes (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 ...
    • Inferência da conectividade neuronal via estimação de medidas da teoria da informação 

      Girardi, Victor Augusto (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 08/06/2021)
      Information theory studies how communication systems integrate, encode, compute, and transmit information. The neural system is an example where communication takes place with neurons responding to stimuli and conducting ...
    • Inferência em grafos aleatórios exponenciais através de métodos MCMC 

      Lima, Guilherme Antonio Alves de (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 11/12/2020)
      In this work we study statistical inference methods for random graphs. In particular, we study the Exponential Random Graph Model and we study Bayesian estimator based on Markov chain Monte Carlo (MCMC) algorithm. We apply ...
    • Inferência para modelos de fração de cura zeros inflacionados aplicados a dados de risco de crédito 

      Felix, Matheus Henrique (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 28/10/2021)
      Given the great demand for granting credit and service goods, there is a need to be able to control the risk involved in the process. This measure aims to manage possible unwanted events, for example, default, in order to ...
    • Long and short por cointegração aplicado ao mercado acionário brasileiro 

      Cardoso, Clézio Lopes (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 06/09/2023)
      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 ...
    • Máquinas de vetores suporte com aplicação em classificação de crédito 

      Brandini, Bruno Matheus (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/03/2023)
      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 ...
    • Métodos de agrupamento longitudinal: uma aplicação em dados de ondas ultrassônicas 

      Nesterick, Giovanna Passos (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 12/11/2021)
      The preservation of buildings faces several challenges, such as the wear caused by weather, atmospheric conditions, soil settlement or even lack of proper maintenance. In some cases, such as historical heritage, it is not ...
    • Métodos de aprendizado ativo 

      Cabezas, Luben Miguel Cruz (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 12/04/2022)
      In the field of supervised learning, the good performance of a prediction model is generally tied to the presence of a large labelled training set. However, there are many situations where labelling an instance is expensive ...
    • Métodos de colapsagem de variantes raras para mapeamento de QTLs 

      João, Lara Midena (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 30/01/2024)
      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 ...
    • Métodos de detecção de fraude em cartões de crédito: um estudo comparativo 

      Piccin, Luiz Eduardo (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 ...