Deep Ordinal Classification Based on the Proportional Odds Model. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás (IWINAC (2), 2019)

Deep ordinal classification based on cumulative link models. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez (CoRR, 2019)

Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks. - Alejandro Martín; Raúl Lara-Cabrera; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez; David Camacho (CEC, 2020)

Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm. - Alejandro Martín; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; David Camacho; César Hervás-Martínez (Appl. Soft Comput., 2020)

Cumulative link models for deep ordinal classification. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez (Neurocomputing, 2020)

Studying the Effect of Different Lp Norms in the Context of Time Series Ordinal Classification. - David Guijo-Rubio; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez (CAEPIA, 2021)

ReLU-Based Activations: Analysis and Experimental Study for Deep Learning. - Víctor Manuel Vargas; David Guijo-Rubio; Pedro Antonio Gutiérrez; César Hervás-Martínez (CAEPIA, 2021)

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)

Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study. - Antonio Manuel Durán-Rosal; David Guijo-Rubio; Víctor Manuel Vargas; Antonio M. Gómez-Orellana; Pedro Antonio Gutiérrez; Juan Carlos Fernández 001 (CISIS-ICEUTE, 2022)

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)

Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques. - Riccardo Rosati 002; Luca Romeo; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez; Lorenzo Bianchini; Alessandra Capriotti; Rosario Capparuccia; Emanuele Frontoni (SOCO, 2022)

A novel deep ordinal classification approach for aesthetic quality control classification. - Riccardo Rosati 002; Luca Romeo; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez; Emanuele Frontoni (Neural Comput. Appl., 2022)

Unimodal regularisation based on beta distribution for deep ordinal regression. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; César Hervás-Martínez (Pattern Recognit., 2022)

Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors. - Marcos Rivera-Gavilán; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Javier Briceño; César Hervás-Martínez; David Guijo-Rubio (IWANN (2), 2023)

Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification. - Víctor Manuel Vargas; Rafael Ayllón-Gavilán; Antonio Manuel Durán-Rosal; Pedro Antonio Gutiérrez; César Hervás-Martínez; David Guijo-Rubio (IWANN (2), 2023)

Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Riccardo Rosati 002; Luca Romeo; Emanuele Frontoni; César Hervás-Martínez (Comput. Ind., 2023)

A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data. - Víctor Manuel Vargas; Riccardo Rosati 002; César Hervás-Martínez; Adriano Mancini; Luca Romeo; Pedro Antonio Gutiérrez (Eng. Appl. Artif. Intell., 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)

Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment. - Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Riccardo Rosati 002; Luca Romeo; Emanuele Frontoni; César Hervás-Martínez (Appl. Soft Comput., 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)

Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation. - Víctor Manuel Vargas; Antonio Manuel Durán-Rosal; David Guijo-Rubio; Pedro Antonio Gutiérrez; César Hervás-Martínez (Inf. Sci., 2023)

Age Estimation Using Soft Labelling Ordinal Classification Approaches. - Víctor Manuel Vargas Yun; Antonio M. Gómez-Orellana; David Guijo-Rubio; Francisco Bérchez-Moreno; Pedro Antonio Gutiérrez; César Hervás-Martínez (CAEPIA, 2024)

Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm. - Antonio M. Gómez-Orellana; Víctor Manuel Vargas; David Guijo-Rubio; Jorge Pérez-Aracil; Pedro Antonio Gutiérrez; Sancho Salcedo-Sanz; César Hervás-Martínez (IWINAC (2), 2024)

Energy Flux Prediction Using an Ordinal Soft Labelling Strategy. - Antonio M. Gómez-Orellana; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Jorge Pérez-Aracil; Sancho Salcedo-Sanz; César Hervás-Martínez; David Guijo-Rubio (IWINAC (2), 2024)

Data Augmentation Techniques for Extreme Wind Prediction Improvement. - Marta Vega-Bayo; Antonio Manuel Gómez-Orellana; Víctor Manuel Vargas Yun; David Guijo-Rubio; Laura Cornejo-Bueno; Jorge Pérez-Aracil; Sancho Salcedo-Sanz (IWINAC (2), 2024)

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)

ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target. - Antonio M. Gómez-Orellana; David Guijo-Rubio; Pedro Antonio Gutiérrez; César Hervás-Martínez; Víctor Manuel Vargas (Eng. Appl. Artif. Intell., 2024)

EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height. - Víctor Manuel Vargas; Antonio M. Gómez-Orellana; Pedro Antonio Gutiérrez; César Hervás-Martínez; David Guijo-Rubio (Knowl. Based Syst., 2024)

Deep Ordinal Classification in Forest Areas Using Light Detection and Ranging Point Clouds. - Alejandro Morales-Martín; Francisco Javier Mesas-Carrascosa; Pedro Antonio Gutiérrez; Fernando-Juan Pérez-Porras; Víctor Manuel Vargas; César Hervás-Martínez (Sensors, 2024)

dlordinal: A Python package for deep ordinal classification. - Francisco Bérchez-Moreno; Rafael Ayllón-Gavilán; Víctor Manuel Vargas Yun; David Guijo-Rubio; César Hervás-Martínez; Juan Carlos Fernández 001; Pedro Antonio Gutiérrez (Neurocomputing, 2025)

Learning Ordinal-Hierarchical Constraints for Deep Learning Classifiers. - Riccardo Rosati 002; Luca Romeo; Víctor Manuel Vargas; Pedro Antonio Gutiérrez; Emanuele Frontoni; César Hervás-Martínez (IEEE Trans. Neural Networks Learn. Syst., 2025)

TOC-UCO: a comprehensive repository of tabular ordinal classification datasets. - Rafael Ayllón-Gavilán; David Guijo-Rubio; Antonio Manuel Gómez-Orellana; Francisco Bérchez-Moreno; Víctor Manuel Vargas Yun; Pedro Antonio Gutiérrez (CoRR, 2025)