ListarDepartamento de Informática y Análisis Numérico por tema "Convolutional neural networks"

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    • Automatic learning of gait signatures for people identification 

      Castro, F.M.; Marín-Jiménez, M.J.; Guil, N.; Pérez de la Blanca, N. (2017-12-05)
      This work targets people identification in video based on the way they walk (i.e. gait). While classical methods typically derive gait signatures from sequences of binary silhouettes, in this work we explore the use of ...

    • Automatic melanoma diagnosis via modern machine learning techniques 

      Pérez Perdomo, Eduardo (Universidad de Córdoba, UCOPress, 2022)
      The incidence and mortality rates of skin cancer remain a huge concern in many countries. According to the latest statistics about melanoma skin cancer, only in the Unites States, 7,650 deaths are expected in 2022, which ...

    • Deep learning techniques for ordinal spatial data and applications in medical imaging 

      Barbero-Gómez, Javier (Universidad de Córdoba, UCOPress, 2024)
      This thesis navigates the intersection of deep learning and ordinal regression, aiming to address the challenges inherent in ordinal tasks, particularly within medical image diagnosis. The primary contributions unfold ...

    • Error-Correcting Output Codes in the Framework of Deep Ordinal Classification 

      Barbero-Gómez, Javier; Gutiérrez, Pedro Antonio; Hervás-Martínez, César (Springer, 2022)
      Automatic classification tasks on structured data have been revolutionized by Convolutional Neural Networks (CNNs), but the focus has been on binary and nominal classification tasks. Only recently, ordinal classification ...