Listar Departamento de Informática y Análisis Numérico por autor "47990827-067f-4929-8ab3-4ed979a5ddad"
Mostrando ítems 1-2 de 2
-
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 ...