Publications

48 total

2026JRNL
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
Neurocomputing, vol. 684, pp. 133528.DOI URL
IF6.70
Q1
2026CONF
An exhaustive ordinal ECOC framework for ordinal classification
Francisco Bérchez-Moreno, Víctor Manuel Vargas-Yun, Alberto Suárez, Lorena Álvarez-Pérez, Pedro Antonio Gutiérrez
International work-conference on the interplay between natural and artificial computation, pp. 486–495.DOI URL
2026JRNL
From kellgren-lawrence to calcium pyrophosphate crystal deposition: a soft-labelling framework for knee osteoarthritis assessmen
Francisco Bérchez-Moreno, Riccardo Rosati, Maria Chiara Fiorentino, Víctor Manuel Vargas-Yun, Edoardo Cipolletta, Emilio Filippucci, Luca Romeo, Pedro Antonio Gutiérrez, César Hervás-Martínez
arXiv preprint arXiv:2605.28176.URL
2026JRNL
A novel ordinal multi-view aggregation scheme for oak defoliation
Francisco Bérchez-Moreno, Ricardo Enrique Hernández Lambraño, David Guijo-Rubio, Víctor Manuel Vargas-Yun, Francisco José Ruiz-Gómez, Juan Carlos Fernández, Pablo González-Moreno
arXiv preprint arXiv:2605.28151.URL
2026CONF
A CNN-based approach to the reverse game of life problem
Ángel Fernández Caravaca, David Guijo-Rubio, Víctor Manuel Vargas-Yun
Bioinspired intelligent systems: From robotics and computer vision to trustworthy applications, pp. 258–267.DOI
2026JRNL
Ordinal evolutionary artificial neural networks for predicting diabetic nephropathy progression
Antonio Manuel Gómez-Orellana, Michele Bernardini, Rafael Ayllón-Gavilán, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, César Hervás-Martínez, Luca Romeo
Applied Soft Computing, vol. 197, pp. 115153.DOI URL
IF7.80
Q1
2026JRNL
Wind gusts prediction using multivariate time series classification
David Guijo-Rubio, Antonio Manuel Gómez-Orellana, Víctor Manuel Vargas-Yun, Jorge Pérez-Aracil, Marta Vega-Bayo, Luis Prieto-Godino, Antonio Manuel Durán-Rosal, César Hervás-Martínez, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez
Energy and AI, pp. 100924.DOI
IF9.70
Q1
2026CONF
Evaluación del potencial de los modelos de Deep Learning para la clasificación de árboles a nivel de género utilizando datos LiDAR
Alejandro Morales-Martín, Francisco-Javier Mesas-Carrascosa, Fernando Pérez Porras, Víctor Manuel Vargas-Yun, Francisco Moreno-Cano, Pedro Antonio Gutiérrez
Congresos uex, actas de congresos, (2).DOI
2026JRNL
Soft labelling for deep ordinal classification: an experimental review
Víctor Manuel Vargas-Yun, David Guijo-Rubio, Rafael Ayllón-Gavilán, Antonio Manuel Gómez-Orellana, Pedro Antonio Gutiérrez, César Hervás-Martínez
IEEE Transactions on Knowledge and Data Engineering, vol. 38, (7), pp. 4722–4741.DOI
IF11.60
Q1 D1
2025JRNL
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, Pedro Antonio Gutiérrez
Neurocomputing, vol. 622, pp. 129305.DOI URL
IF6.70
Q1
2025JRNL
Enhancing wind speed prediction in wind farms through ordinal classification
Antonio Manuel Gómez-Orellana, Marta Vega-Bayo, David Guijo-Rubio, Jorge Pérez-Aracil, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, Luis Prieto-Godino, Sancho Salcedo-Sanz, César Hervás-Martínez
Energy and AI, vol. 22, pp. 100596.DOI URL
IF9.70
Q1
2025CONF
Hybrid dropout for deep ordinal classification
Francisco Bérchez-Moreno, Francisco Moreno-Cano, David Guijo-Rubio, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, César Hervás-Martínez
Proceedings of the 18th international work-conference on artificial neural networks, IWANN 2025, vol. 16008, pp. 500–511.DOI URL
2025CONF
Knee osteoarthritis severity grading using soft labelling and ordinal classification
Francisco Bérchez-Moreno, Víctor Manuel Vargas-Yun, Antonio Manuel Gómez-Orellana, David Guijo-Rubio, Luca Romeo, Edoardo Conti, Pedro Antonio Gutiérrez, César Hervás-Martínez
Proceedings of the 18th international work-conference on artificial neural networks, IWANN 2025, vol. 16008, pp. 522-533.DOI URL
2025CONF
Wind speed prediction using ordinal classification: an analysis of extreme values
David Guijo-Rubio, Antonio Manuel Gómez-Orellana, Víctor Manuel Vargas-Yun, Rafael Ayllón-Gavilán, Laura Cornejo-Bueno, Francisco Moreno-Cano, César Hervás-Martínez, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez
EGU general assembly conference abstracts, pp. EGU25–15414.DOI
2025CHAP
Automatic ordinal classification of olive plantations using deep learning and LiDAR data fusion
Alejandro Morales-Martín, F.J. Mesas-Carrascosa, J. Muñoz-Lorite, S. Cantón-Martínez, F.J. Pérez-Porras, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez
Precision agriculture'25, pp. 538–545.DOI URL
2025JRNL
Learning Ordinal–Hierarchical Constraints for Deep Learning Classifiers
Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, Emanuele Frontoni, César Hervás-Martínez
IEEE Transactions on Neural Networks and Learning Systems, vol. 36, (3), pp. 4765–4778.DOI URL
IF9.70
Q1 D1
2025JRNL
Simultaneous multi-step wind speed prediction on multiple farms using multi-task deep learning
Rafael Ayllón-Gavilán, Antonio Manuel Gómez-Orellana, Víctor Manuel Vargas-Yun, David Guijo-Rubio, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, César Hervás-Martínez
Integrated Computer-Aided Engineering, vol. 32, (4), pp. 366-378.DOI URL
IF6.40
Q1 D1
2024JRNL
EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height
Víctor Manuel Vargas-Yun, Antonio Manuel Gómez-Orellana, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio
Knowledge-Based Systems, vol. 300, pp. 112223.DOI URL
IF7.60
Q1
2024JRNL
ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target
Antonio Manuel Gómez-Orellana, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, Víctor Manuel Vargas-Yun
Engineering Applications of Artificial Intelligence, vol. 133, (E), pp. 108462.DOI URL
IF8.00
Q1 D1
2024JRNL
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-Yun, César Hervás-Martínez
Sensors, vol. 24, (7), pp. 1-18.DOI URL
IF3.50
Q2
2024CONF
Age Estimation Using Soft Labelling Ordinal Classification Approaches
Víctor Manuel Vargas-Yun, Antonio Manuel Gómez-Orellana, David Guijo-Rubio, Francisco Bérchez-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez
Advances in artificial intelligence, vol. 14640, pp. 40–49.DOI URL
2024JRNL
Fuzzy-based ensemble methodology for accurate long-term prediction and interpretation of extreme significant wave height events
César Peláez-Rodríguez, Jorge Pérez-Aracil, Antonio Manuel Gómez-Orellana, David Guijo-Rubio, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, César Hervás-Martínez, Sancho Salcedo-Sanz
Applied Ocean Research, vol. 153, pp. 104273.DOI URL
IF4.40
Q1 D1
2024CONF
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
Bioinspired systems for translational applications: From robotics to social engineering, vol. 14675, pp. 303–313.DOI URL
2024CONF
Energy Flux Prediction Using an Ordinal Soft Labelling Strategy
Antonio Manuel Gómez-Orellana, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, César Hervás-Martínez, David Guijo-Rubio
Bioinspired systems for translational applications: From robotics to social engineering, vol. 14675, pp. 283–292.DOI URL
2024CONF
Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm
Antonio Manuel Gómez-Orellana, Víctor Manuel Vargas-Yun, David Guijo-Rubio, Jorge Pérez-Aracil, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez
Bioinspired systems for translational applications: From robotics to social engineering, vol. 14675, pp. 293–302.DOI URL
2023JRNL
Generalised Triangular Distributions for ordinal deep learning: novel proposal and optimisation
Víctor Manuel Vargas-Yun, Antonio Manuel Durán-Rosal, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
Information Sciences, vol. 648, pp. 119606.DOI URL
IF8.10
Q1 D1
2023JRNL
Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment
Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez
Computers in Industry, vol. 144, pp. 1-13.DOI URL
IF8.20
Q1 D1
2023CONF
Gramian Angular and Markov Transition Fields applied to Time Series Ordinal Classification
Víctor Manuel Vargas-Yun, Rafael Ayllón-Gavilán, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio
IWANN 2023: Advances in computational intelligence, vol. 14135, pp. 505–516.DOI URL
2023JRNL
Soft labelling based on triangular distributions for ordinal classification
Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, Javier Barbero-Gómez, César Hervás-Martínez
Information Fusion, vol. 93, pp. 258-267.DOI URL
IF14.70
Q1 D1
2023CONF
Ordinal classification approach for donor-recipient matching in liver transplantation with circulatory death donors
M. Rivera-Gavilán, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, J. Briceño, César Hervás-Martínez, David Guijo-Rubio
IWANN 2023: Advances in computational intelligence, vol. 14135, pp. 517–528.DOI URL
2023JRNL
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data
Víctor Manuel Vargas-Yun, Riccardo Rosati, César Hervás-Martínez, Adriano Mancini, Luca Romeo, Pedro Antonio Gutiérrez
Engineering Applications of Artificial Intelligence, vol. 123, (C), pp. 1-12.URL
IF7.50
Q1 D1
2023JRNL
Activation functions for convolutional neural networks: proposals and experimental study
Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, Javier Barbero-Gómez, César Hervás-Martínez
IEEE Transactions on Neural Networks and Learning Systems, vol. 34, (3), pp. 1478–1488.DOI URL
IF10.20
Q1 D1
2023JRNL
Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment
Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, Riccardo Rosati, Luca Romeo, Emanuele Frontoni, César Hervás-Martínez
Applied Soft Computing, vol. 138, (110191).DOI URL
IF7.20
Q1 D1
2022CONF
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-Yun, Antonio Manuel Gómez-Orellana, Pedro Antonio Gutiérrez, Juan Carlos Fernández
Proceedings of the 13th international conference on european transnational education (ICEUTE 2022), vol. 532, pp. 224-235.DOI URL
2022JRNL
Hackathon en docencia: aprendizaje automático aplicado a Ciencias de la Vida
David Guijo-Rubio, Víctor Manuel Vargas-Yun, Javier Barbero-Gómez, José V. Die, Pablo González-Moreno
Revista de Innovación y Buenas Prácticas Docentes, vol. 11, (2), pp. 1-19.DOI URL
2022CONF
Hackathon in teaching: applying machine learning to Life Sciences tasks
David Guijo-Rubio, Víctor Manuel Vargas-Yun, Javier Barbero-Gómez, José V. Die, Pablo González-Moreno
Proceedings of the 13th international conference on european transnational education (ICEUTE 2022), vol. 532, pp. 236–246.DOI URL
2022JRNL
A novel deep ordinal classification approach for aesthetic quality control classification
Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, César Hervás-Martínez, Emanuele Frontoni
Neural Computing and Applications, vol. 34, pp. 11625–11639.DOI URL
IF6.00
Q2
2022JRNL
Unimodal regularisation based on beta distribution for deep ordinal regression
Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, César Hervás-Martínez
Pattern Recognition, vol. 122, pp. 108310.DOI URL
IF8.00
Q1
2022CONF
Mejora de la clasificación ordinal de los diferentes estadios de retinopatías diabéticas
Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, César Hervás-Martínez
El arte de investigar: Córdoba, del 3 al 6 de mayo de 2022, pp. 673–676.
2022CONF
Predictive Maintenance of ATM machines by modelling Remaining Useful Life with Machine Learning techniques
Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, César Hervás-Martínez, Lorenzo Bianchini, Alessandra Capriotti, Rosario Capparuccia, Emanuele Frontoni
Proceedings of the 17th international conference on soft computing models in industrial and environmental applications (SOCO 2022), vol. 531, pp. 239–249.DOI URL
2021JRNL
An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients
Javier Barbero-Gómez, Pedro Antonio Gutiérrez, Víctor Manuel Vargas-Yun, Juan-Antonio Vallejo-Casas, César Hervás-Martínez
Expert Systems with Applications, vol. 182, pp. 115271.DOI URL
IF8.66
Q1
2021CONF
Studying the effect of different Lp norms in the context of Time Series Ordinal Classification
David Guijo-Rubio, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, César Hervás-Martínez
Proceedings of the XIX conference of the spanish association for artificial intelligence (CAEPIA), vol. 12882, pp. 44-53.DOI URL
2021JRNL
Potenciando el perfil profesional Científico de Datos mediante dinámicas de competición
David Guijo-Rubio, Víctor Manuel Vargas-Yun, Antonio Manuel Durán-Rosal, Antonio Manuel Gómez-Orellana, Javier Barbero-Gómez, Juan Carlos Fernández, Pedro Antonio Gutiérrez
Revista de Innovación y Buenas Prácticas Docentes, vol. 10, (2), pp. 101-106.DOI URL
2021CONF
ReLU-based activations: analysis and experimental study for deep learning
Víctor Manuel Vargas-Yun, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
Proceedings of the XIX conference of the spanish association for artificial intelligence (CAEPIA), vol. 12882, pp. 33-43.DOI URL
2020CONF
Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks
Alejandro Martín, Raúl Lara-Cabrera, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Camacho
Proceedings of the 2020 IEEE congress on evolutionary computation (CEC2020), pp. 1–8.DOI URL
2020JRNL
Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm
Alejandro Martín, Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, David Camacho, César Hervás-Martínez
Applied Soft Computing, vol. 90, pp. 106144.DOI URL
IF6.72
Q1 D1
2020JRNL
Cumulative link models for deep ordinal classification
Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, César Hervás-Martínez
Neurocomputing, vol. 401, pp. 48-58.DOI URL
IF5.72
Q1
2019CONF
Deep Ordinal Classification Based on the Proportional Odds Model
Víctor Manuel Vargas-Yun, Pedro Antonio Gutiérrez, César Hervás-Martínez
Proceedings of the international work-conference on the interplay between natural and artificial computation (IWINAC 2019), vol. 11487, pp. 441-451.DOI URL

TOC-UCO: a comprehensive repository of tabular ordinal classification datasets

An exhaustive ordinal ECOC framework for ordinal classification

From kellgren-lawrence to calcium pyrophosphate crystal deposition: a soft-labelling framework for knee osteoarthritis assessmen

A novel ordinal multi-view aggregation scheme for oak defoliation

A CNN-based approach to the reverse game of life problem

Ordinal evolutionary artificial neural networks for predicting diabetic nephropathy progression

Wind gusts prediction using multivariate time series classification

Evaluación del potencial de los modelos de Deep Learning para la clasificación de árboles a nivel de género utilizando datos LiDAR

Soft labelling for deep ordinal classification: an experimental review

dlordinal: A Python package for deep ordinal classification

Enhancing wind speed prediction in wind farms through ordinal classification

Hybrid dropout for deep ordinal classification

Knee osteoarthritis severity grading using soft labelling and ordinal classification

Wind speed prediction using ordinal classification: an analysis of extreme values

Automatic ordinal classification of olive plantations using deep learning and LiDAR data fusion

Learning Ordinal–Hierarchical Constraints for Deep Learning Classifiers

Simultaneous multi-step wind speed prediction on multiple farms using multi-task deep learning

EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height

ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target

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

Age Estimation Using Soft Labelling Ordinal Classification Approaches

Fuzzy-based ensemble methodology for accurate long-term prediction and interpretation of extreme significant wave height events

Data Augmentation Techniques for Extreme Wind Prediction Improvement

Energy Flux Prediction Using an Ordinal Soft Labelling Strategy

Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm

Generalised Triangular Distributions for ordinal deep learning: novel proposal and optimisation

Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment

Gramian Angular and Markov Transition Fields applied to Time Series Ordinal Classification

Soft labelling based on triangular distributions for ordinal classification

Ordinal classification approach for donor-recipient matching in liver transplantation with circulatory death donors

A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log data

Activation functions for convolutional neural networks: proposals and experimental study

Exponential loss regularisation for encouraging ordinal constraint to shotgun stocks quality assessment

Gamifying the classroom for the acquisition of skills associated with Machine Learning: a two-year case study

Hackathon en docencia: aprendizaje automático aplicado a Ciencias de la Vida

Hackathon in teaching: applying machine learning to Life Sciences tasks

A novel deep ordinal classification approach for aesthetic quality control classification

Unimodal regularisation based on beta distribution for deep ordinal regression

Mejora de la clasificación ordinal de los diferentes estadios de retinopatías diabéticas

Predictive Maintenance of ATM machines by modelling Remaining Useful Life with Machine Learning techniques

An ordinal CNN approach for the assessment of neurological damage in Parkinson's disease patients

Studying the effect of different Lp norms in the context of Time Series Ordinal Classification

Potenciando el perfil profesional Científico de Datos mediante dinámicas de competición

ReLU-based activations: analysis and experimental study for deep learning

Statistically-driven Coral Reef metaheuristic for automatic hyperparameter setting and architecture design of Convolutional Neural Networks

Optimising Convolutional Neural Networks using a Hybrid Statistically-driven Coral Reef Optimisation algorithm

Cumulative link models for deep ordinal classification

Deep Ordinal Classification Based on the Proportional Odds Model