Browsing by Advisor "62eae764-2143-43f7-969e-5758bace8485"

Now showing items 1-5 of 5

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • Inferência em redes aleatórias com pesos discretos 

      Costa, Laila Letícia da Silva (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 04/04/2023)
      Random networks have been widely used to describe interactions between objects, including interpersonal relationships between individuals. One of the most important features of networks is the presence of communities, which ...