• Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds 

      Morales-Martín, Alejandro; Mesas Carrascosa, Francisco Javier; Gutiérrez, Pedro Antonio; Pérez Porras, Fernando; Vargas, Víctor Manuel; Hervás-Martínez, César (MDPI, 2024)
      Recent advances in Deep Learning and aerial Light Detection And Ranging (LiDAR) have offered the possibility of refining the classification and segmentation of 3D point clouds to contribute to the monitoring of complex ...
    • 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 ...
    • Unimodal regularisation based on beta distribution for deep ordinal regression 

      Vargas, Víctor Manuel; Gutiérrez, Pedro Antonio; Hervás-Martínez, César (Elsevier, 2022)
      Currently, the use of deep learning for solving ordinal classification problems, where categories follow a natural order, has not received much attention. In this paper, we propose an unimodal regularisation based on the ...