Antonio M. Gómez-Orellana

According to our database, Antonio M. Gómez-Orellana authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

EBANO: A novel Ensemble BAsed on uNimodal Ordinal classifiers for the prediction of significant wave height.

Víctor Manuel Vargas, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, César Hervás-Martínez, David Guijo-Rubio

Knowl. Based Syst., 2024

ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target.

Antonio M. Gómez-Orellana, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, Víctor Manuel Vargas

Eng. Appl. Artif. Intell., 2024

Data Augmentation Techniques for Extreme Wind Prediction Improvement.

Marta Vega-Bayo, Antonio Manuel Gómez-Orellana, Víctor Manuel Vargas Yun, David Guijo-Rubio, Laura Cornejo-Bueno, Jorge Pérez-Aracil, Sancho Salcedo-Sanz

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Energy Flux Prediction Using an Ordinal Soft Labelling Strategy.

Antonio M. Gómez-Orellana, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, César Hervás-Martínez, David Guijo-Rubio

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm.

Antonio M. Gómez-Orellana, Víctor Manuel Vargas, David Guijo-Rubio, Jorge Pérez-Aracil, Pedro Antonio Gutiérrez, Sancho Salcedo-Sanz, César Hervás-Martínez

Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Age Estimation Using Soft Labelling Ordinal Classification Approaches.

Víctor Manuel Vargas Yun, Antonio M. Gómez-Orellana, David Guijo-Rubio, Francisco Bérchez-Moreno, Pedro Antonio Gutiérrez, César Hervás-Martínez

Proceedings of the Advances in Artificial Intelligence, 2024

2023

An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction.

David Guijo-Rubio, Antonio Manuel Durán-Rosal, Antonio M. Gómez-Orellana, Juan Carlos Fernández

Appl. Soft Comput., October, 2023

2022

COVID-19 contagion forecasting framework based on curve decomposition and evolutionary artificial neural networks: A case study in Andalusia, Spain.

Miguel Díaz-Lozano, David Guijo-Rubio, Pedro Antonio Gutiérrez, Antonio Manuel Gómez-Orellana, Isaac Túñez, Luis Ortigosa-Moreno, Armando Romanos-Rodríguez, Javier Padillo-Ruiz, César Hervás-Martínez

Expert Syst. Appl., 2022

Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study.

Antonio Manuel Durán-Rosal, David Guijo-Rubio, Víctor Manuel Vargas, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, Juan Carlos Fernández

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

2020

Prediction of convective clouds formation using evolutionary neural computation techniques.

David Guijo-Rubio, Pedro Antonio Gutiérrez, Carlos Casanova-Mateo, Juan Carlos Fernández, Antonio M. Gómez-Orellana, Pablo Salvador-González, Sancho Salcedo-Sanz, César Hervás-Martínez

Neural Comput. Appl., 2020

2018

Distribution-Based Discretisation and Ordinal Classification Applied to Wave Height Prediction.

David Guijo-Rubio, Antonio Manuel Durán-Rosal, Antonio M. Gómez-Orellana, Pedro Antonio Gutiérrez, César Hervás-Martínez

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018