David Guijo-Rubio
Orcid: 0000-0002-8035-4057
According to our database1,
David Guijo-Rubio
authored at least 30 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Validation of artificial neural networks to model the acoustic behaviour of induction motors.
CoRR, 2024
2023
Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation.
Inf. Sci., November, 2023
An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction.
Appl. Soft Comput., October, 2023
Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2.
Expert Syst. Appl., September, 2023
Convolutional and Deep Learning based techniques for Time Series Ordinal Classification.
CoRR, 2023
CoRR, 2023
Gramian Angular and Markov Transition Fields Applied to Time Series Ordinal Classification.
Proceedings of the Advances in Computational Intelligence, 2023
Ordinal Classification Approach for Donor-Recipient Matching in Liver Transplantation with Circulatory Death Donors.
Proceedings of the Advances in Computational Intelligence, 2023
Proceedings of the Advances in Computational Intelligence, 2023
Proceedings of the 15th International Joint Conference on Knowledge Discovery, 2023
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2023
2022
COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain.
Expert Syst. Appl., 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
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022
Proceedings of the International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022), 2022
Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study.
Proceedings of the International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022), 2022
2021
IEEE Trans. Cybern., 2021
Enhancing the ORCA framework with a new Fuzzy Rule Base System implementation compatible with the JFML library.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
Proceedings of the Advances in Artificial Intelligence, 2021
Studying the Effect of Different L<sub>p</sub> Norms in the Context of Time Series Ordinal Classification.
Proceedings of the Advances in Artificial Intelligence, 2021
2020
Prediction of convective clouds formation using evolutionary neural computation techniques.
Neural Comput. Appl., 2020
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
2018
CoRR, 2018
Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Hybrid Weighted Barebones Exploiting Particle Swarm Optimization Algorithm for Time Series Representation.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2018
2017
A Coral Reef Optimization Algorithm for Wave Height Time Series Segmentation Problems.
Proceedings of the Advances in Computational Intelligence, 2017
2016
Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines.
Proceedings of the Advances in Artificial Intelligence, 2016