David Díaz-Vico

According to our database, David Díaz-Vico authored at least 8 papers between 2017 and 2022.

Collaborative distances:

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

2022

Companion Losses for Ordinal Regression.

David Díaz-Vico, Ángela Fernández, José R. Dorronsoro

Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

2021

Companion Losses for Deep Neural Networks.

David Díaz-Vico, Ángela Fernández, José R. Dorronsoro

Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

2020

Deep Least Squares Fisher Discriminant Analysis.

David Díaz-Vico, José R. Dorronsoro

IEEE Trans. Neural Networks Learn. Syst., 2020

Deep support vector neural networks.

David Díaz-Vico, Jesús Prada, Adil Omari, José R. Dorronsoro

Integr. Comput. Aided Eng., 2020

2019

Deep Support Vector Classification and Regression.

David Díaz-Vico, Jesús Prada, Adil Omari, José R. Dorronsoro

Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019

2018

Deep MLPs for Imbalanced Classification.

David Díaz-Vico, Aníbal R. Figueiras-Vidal, José R. Dorronsoro

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Deep Neural Networks for Wind and Solar Energy Prediction.

David Díaz-Vico, Alberto Torres-Barrán, Adil Omari, José R. Dorronsoro

Neural Process. Lett., 2017

Deep Fisher Discriminant Analysis.

David Díaz-Vico, Adil Omari, Alberto Torres-Barrán, José Ramón Dorronsoro

Proceedings of the Advances in Computational Intelligence, 2017