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 (SOCO, 2022)

A Dictionary-Based Approach to Time Series Ordinal Classification. - Rafael Ayllón-Gavilán; David Guijo-Rubio; Pedro Antonio Gutiérrez; César Hervás-Martínez (IWANN (2), 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 (IWANN (2), 2023)

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 (CAEPIA, 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 (CAEPIA, 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)

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 001; Pedro Antonio Gutiérrez (Neurocomputing, 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., 2025)

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 (CoRR, 2025)