• Redes neurais aplicadas a grafos: uma abordagem semi-supervisionada 

      Treméa, Samuel (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 ...
    • 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 ...
    • Classifcação binária via Bayes Ingênuo: um estudo comparativo de predições 

      Martins, Victor Alves Dogo (Universidade Federal de São Carlos, UFSCar, , Câmpus São Carlos, 17/03/2023)
      In this undergraduate thesis, we propose a review of the Naive Bayes classifcation method applied to binary response variables, with a more in-depth formalization of the Gaussian Naive Bayes and Flexible Naive Bayes ...