Browsing by Author "Ayma Quirita, Victor Hugo"

Now showing items 1-5 of 5

    • A Comparison of Authentication Methods via Keystroke Dynamics 

      Lo, Aron; Ayma Quirita, Victor Hugo; Gutiérrez Cárdenas, Juan Manuel (IEEE, 2020)
      Acceso restringido
      Authentication systems based on keystroke dynamics analyze the typical typing pattern of a user when interacting with an input device, such as the keyboard of a computer. In the literature, three major approaches on keystroke ...

    • A comparison of classification models to detect cyberbullying in the Peruvian Spanish language on twitter 

      Cuzcano Chavez, Ximena Marianne; Ayma Quirita, Victor Hugo (Science and Information Organization, 2020)
      Acceso abierto
      Cyberbullying is a social problem in which bullies’ actions are more harmful than in traditional forms of bullying as they have the power to repeatedly humiliate the victim in front of an entire community through social ...

    • Comparison of Classifiers Models for Prediction of Intimate Partner Violence 

      Guerrero, Ashly; Gutiérrez Cárdenas, Juan Manuel; Romero Romero, Vilma Susana; Ayma Quirita, Victor Hugo (Springer, 2021)
      Acceso restringido
      Intimate partner violence (IPV) is a problem that has been studied by different researchers to determine the factors that influence its occurrence, as well as to predict it. In Peru, 68.2% of women have been victims of ...

    • Desafíos del aprendizaje profundo en la visión por computador 

      Ayma Quirita, Victor Hugo; Achanccaray Díaz, Pedro Marco; Arauco Canchumuni, Smith Washington; Soto Vega, Pedro Juan (Universidad de Lima, 2022)
      Acceso abierto
      La visión por computador es un área de estudio en la inteligencia artificial que se enfoca en el desarrollo de técnicas computacionales para percibir el mundo a través de entradas visuales, como videos o imágenes. El ...

    • Dimensionality reduction via an orthogonal autoencoder approach for hyperspectral image classification 

      Ayma Quirita, Victor Hugo; Ayma, V. A.; Gutiérrez Cárdenas, Juan Manuel (The International Society for Photogrammetry and Remote Sensing, 2020)
      Acceso abierto
      Nowadays, the increasing amount of information provided by hyperspectral sensors requires optimal solutions to ease the subsequent analysis of the produced data. A common issue in this matter relates to the hyperspectral ...