• Seleção de marcadores SNP: uma aplicação com diferentes metodologias 

      Ióca, Mariana Pavan (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 ...
    • Seleção de variáveis: uma aplicação a dados de moinho de cimento 

      Higashizawa, Lissa Kido (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 07/12/2019)
      Having as object of study a certain mill that produces cement, we use two methods of variable selection, LASSO and stepwise, to identify variables that influence the engine power and, consequently, impact the cement ...
    • Seleção estatística de árvores de contexto 

      Almeida, Isadora Nascimento de (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 22/01/2024)
      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 ...
    • Testes múltiplos para comparação de dados funcionais 

      Oliveira, Vinícius Santos de (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 28/03/2023)
      The recording of human motion is an essential requirement for biomechanical studies aimed at understanding normal and altered movement patterns to propose preventive or rehabilitation programs. In these studies, the analysis ...
    • Uso de cadeias de Markov para identificar atribuições em mídias digitais 

      Carvalho, Raquel Malheiro de (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 15/09/2022)
      With the advancement of digital marketing and the rise of new paid media channels for running campaigns and ads aimed at selling products, many advertisers question the use of media that do not directly lead to conversions, ...
    • Utilização de algoritmos de classificação para diagnóstico de diabetes 

      Oliveira, Larissa de (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 15/02/2024)
      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 ...
    • Utilização de métodos de aprendizado de máquina para estimação de escores de propensão 

      Santos, Amanda Kely Faria dos (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 ...