Rafael Ayllón-Gavilán

16 papers Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ordinal evolutionary artificial neural networks for predicting diabetic nephropathy progression.
Appl. Soft Comput.
Antonio Manuel Gómez-Orellana, Michele Bernardini, Rafael Ayllón-Gavilán, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Luca Romeo
2026 J jnl
Splitting criteria for ordinal decision trees: An experimental study.
Pattern Recognit.
Rafael Ayllón-Gavilán, Francisco José Martínez-Estudillo, David Guijo-Rubio, César Hervás-Martínez, Pedro Antonio Gutiérrez
2026 J jnl
TOC-UCO: a comprehensive repository of tabular ordinal classification datasets.
Neurocomputing
Rafael Ayllón-Gavilán, David Guijo-Rubio, Antonio Manuel Gómez-Orellana, Francisco Bérchez-Moreno, Víctor Manuel Vargas, Pedro Antonio Gutiérrez
2025 J jnl
Convolutional- and Deep Learning-Based Techniques for Time Series Ordinal Classification.
IEEE Trans. Cybern.
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez
2025 J jnl
Simultaneous multi-step wind speed prediction on multiple farms using multi-task deep learning.
Integr. Comput. Aided Eng.
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
2025 J jnl
TOC-UCO: a comprehensive repository of tabular ordinal classification datasets.
CoRR
Rafael Ayllón-Gavilán, David Guijo-Rubio, Antonio Manuel Gómez-Orellana, Francisco Bérchez-Moreno, Víctor Manuel Vargas Yun, Pedro Antonio Gutiérrez
2025 J jnl
dlordinal: A Python package for deep ordinal classification.
Neurocomputing
Francisco Bérchez-Moreno, Rafael Ayllón-Gavilán, Víctor Manuel Vargas Yun, David Guijo-Rubio, César Hervás-Martínez, Juan Carlos Fernández, Pedro Antonio Gutiérrez
2024 — conf
Multivariate-Autoencoder Flow-Analogue Method for Heat Waves Reconstruction.
CAEPIA
Cosmin Madalin Marina, Eugenio Lorente-Ramos, Rafael Ayllón-Gavilán, Pedro Antonio Gutiérrez, Jorge Pérez-Aracil, Sancho Salcedo-Sanz
2024 — conf
O-Hydra: A Hybrid Convolutional and Dictionary-Based Approach to Time Series Ordinal Classification.
CAEPIA
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2024 J jnl
Splitting criteria for ordinal decision trees: an experimental study.
CoRR
Rafael Ayllón-Gavilán, Francisco José Martínez-Estudillo, David Guijo-Rubio, César Hervás-Martínez, Pedro Antonio Gutiérrez
2024 J jnl
dlordinal: a Python package for deep ordinal classification.
CoRR
Francisco Bérchez-Moreno, Víctor Manuel Vargas, Rafael Ayllón-Gavilán, David Guijo-Rubio, César Hervás-Martínez, Juan Carlos Fernández, Pedro Antonio Gutiérrez
2023 — conf
A Dictionary-Based Approach to Time Series Ordinal Classification.
IWANN (2)
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2023 J jnl
A Dictionary-based approach to Time Series Ordinal Classification.
CoRR
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez
2023 J jnl
Convolutional and Deep Learning based techniques for Time Series Ordinal Classification.
CoRR
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, Anthony J. Bagnall, César Hervás-Martínez
2023 — conf
Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification.
IWANN (2)
Víctor Manuel Vargas, Rafael Ayllón-Gavilán, Antonio Manuel Durán-Rosal, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio
2022 — conf
Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data Using Time Series Classification.
SOCO
Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez