• Análise posicional de jogadores brasileiros de futebol utilizando dados GPS 

      Gasparini, Randal; http://buscatextual.cnpq.br/buscatextual/visualizacv.do?metodo=apresentar&id=K8162101J2 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Ciência da Computação (Campus SOROCABA), Câmpus Sorocaba, 26/02/2018)
      The professional soccer is always changing and is constantly searching tools and data to help the decision-making, providing tatics and techniques to the team. In Brazil, this sport goes to same way and the investiments ...
    • On the training algorithms for Restricted Boltzmann Machine-Based Models 

      Passos Junior, Leandro Aparecido; http://lattes.cnpq.br/3785255738671502 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Ciência da Computação, Câmpus São Carlos, 05/12/2018)
      Deep learning techniques have been studied extensively in the last years, due to its good results related to essential tasks on a large range of applications, such as speech and face recognition, as well as objects ...
    • Quantificação em problemas com mudança de domínio 

      Vaz, Afonso Fernandes; http://lattes.cnpq.br/5022046007587066 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-graduação em Estatística UFSCar/USP, Câmpus São Carlos, 17/05/2018)
      Several machine learning applications use classifiers as a way of quantifying the prevalence of positive class labels in a target dataset, a task named quantification. For instance, a naive way of determining what proportion ...