Rafael Ayllón-Gavilán

According to our database, Rafael Ayllón-Gavilán authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

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

2024

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

CoRR, 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