Rafael Ayllón-Gavilán

Orcid: 0000-0003-3024-6194

According to our database1, Rafael Ayllón-Gavilán authored at least 8 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Convolutional- and Deep Learning-Based Techniques for Time Series Ordinal Classification.
IEEE Trans. Cybern., February, 2025

dlordinal: A Python package for deep ordinal classification.
Neurocomputing, 2025

2024
Splitting criteria for ordinal decision trees: an experimental study.
CoRR, 2024

Multivariate-Autoencoder Flow-Analogue Method for Heat Waves Reconstruction.
Proceedings of the Advances in Artificial Intelligence, 2024

O-Hydra: A Hybrid Convolutional and Dictionary-Based Approach to Time Series Ordinal Classification.
Proceedings of the Advances in Artificial Intelligence, 2024

2023
Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification.
Proceedings of the Advances in Computational Intelligence, 2023

A Dictionary-Based Approach to Time Series Ordinal Classification.
Proceedings of the Advances in Computational Intelligence, 2023

2022
Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data Using Time Series Classification.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022


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