Publications

45 total

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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, pp. 1–20. DOI

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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.

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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