An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients. - Javier Barbero-Gómez; Pedro Antonio Gutiérrez; Víctor Manuel Vargas; Juan-Antonio Vallejo-Casas; César Hervás-Martínez (Expert Syst. Appl., 2021)

Hackathon in Teaching: Applying Machine Learning to Life Sciences Tasks. - David Guijo-Rubio; Víctor Manuel Vargas; Javier Barbero-Gómez; Jose V. Die; Pablo González-Moreno (CISIS-ICEUTE, 2022)

Evaluating the Performance of Explanation Methods on Ordinal Regression CNN Models. - Javier Barbero-Gómez; Ricardo P. M. Cruz; Jaime S. Cardoso 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (IWANN (2), 2023)

Activation Functions for Convolutional Neural Networks: Proposals and Experimental Study. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Javier Barbero-Gómez; César Hervás-Martínez (IEEE Trans. Neural Networks Learn. Syst., 2023)

Soft labelling based on triangular distributions for ordinal classification. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Javier Barbero-Gómez; César Hervás-Martínez (Inf. Fusion, 2023)

Error-Correcting Output Codes in the Framework of Deep Ordinal Classification. - Javier Barbero-Gómez; Pedro Antonio Gutiérrez; César Hervás-Martínez (Neural Process. Lett., 2023)

Improving the classification of extreme classes by means of loss regularisation and generalised beta distributions. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Javier Barbero-Gómez; César Hervás-Martínez (CoRR, 2024)

CNN explanation methods for ordinal regression tasks. - Javier Barbero-Gómez; Ricardo P. M. Cruz; Jaime S. Cardoso 001; Pedro Antonio Gutiérrez; César Hervás-Martínez (Neurocomputing, 2025)