Rafael Ayllón-Gavilán

According to our database, Rafael Ayllón-Gavilán authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Splitting criteria for ordinal decision trees: An experimental study.

Rafael Ayllón-Gavilán, Francisco José Martínez-Estudillo, David Guijo-Rubio, César Hervás-Martínez, Pedro Antonio Gutiérrez

Pattern Recognit., 2026

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, Pedro Antonio Gutiérrez

Neurocomputing, 2026

Ordinal evolutionary artificial neural networks for predicting diabetic nephropathy progression.

Antonio Manuel Gómez-Orellana, Michele Bernardini, Rafael Ayllón-Gavilán, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Luca Romeo

Appl. Soft Comput., 2026

2025

Convolutional- and Deep Learning-Based Techniques for Time Series Ordinal Classification.

Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez

IEEE Trans. Cybern., February, 2025

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, 2025

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

Rafael Ayllón-Gavilán, Antonio Manuel Gómez-Orellana, Víctor Manuel Vargas, David Guijo-Rubio, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, Pedro Antonio Gutiérrez, César Hervás-Martínez

Integr. Comput. Aided Eng., 2025

2024

Multivariate-Autoencoder Flow-Analogue Method for Heat Waves Reconstruction.

Cosmin Madalin Marina, Eugenio Lorente-Ramos, Rafael Ayllón-Gavilán, Pedro Antonio Gutiérrez, Jorge Pérez-Aracil, Sancho Salcedo-Sanz

Proceedings of the Advances in Artificial Intelligence, 2024

O-Hydra: A Hybrid Convolutional and Dictionary-Based Approach to Time Series Ordinal Classification.

Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez

Proceedings of the Advances in Artificial Intelligence, 2024

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

Proceedings of the Advances in Computational Intelligence, 2023

A Dictionary-Based Approach to Time Series Ordinal Classification.

Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez

Proceedings of the Advances in Computational Intelligence, 2023

2022

Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data Using Time Series Classification.

Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez

Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022