• Classificação de retornos utilizando dados de alta frequência no mercado de bitcoins 

      Emílio, João Mateus Arcolini (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 10/03/2020)
      In the cryptocurrency market, Bitcoin stands out as the most accepted traded in the world. However, due to its high volatility, the prediction of price behaviors, in special, the trend classification, becomes a challenge ...
    • On the advances in pattern recognition using Optimum-Path Forest 

      Sugi Afonso, Luis Claudio (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 24/09/2020)
      Pattern recognition (PR) techniques have been paramount to solve different and complex problems in many fields of study. The basic idea behind PR techniques is to compute a model capable of classifying unknown samples. ...
    • On the training algorithms for Restricted Boltzmann Machine-Based Models 

      Passos Junior, Leandro Aparecido (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, 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 ...
    • Aprendizado de subcategorias para Never-ending Language Learning: uma abordagem baseada em perguntas e respostas 

      Souza, Wesley Willy Oliveira de (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 08/01/2021)
      In recent years, ontologies have been used in information systems to index large corpora of documents or collections of facts and directly support user interaction with the system through functionalities such as navigation ...