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Journal Articles
- 2020
[j3]David Díaz-Vico
, Jesús Prada, Adil Omari, José R. Dorronsoro:
Deep support vector neural networks. Integr. Comput. Aided Eng. 27(4): 389-402 (2020)- [j2]David Díaz-Vico, José R. Dorronsoro:
Deep Least Squares Fisher Discriminant Analysis. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2752-2763 (2020) - 2017
- [j1]David Díaz-Vico, Alberto Torres-Barrán, Adil Omari, José R. Dorronsoro:
Deep Neural Networks for Wind and Solar Energy Prediction. Neural Process. Lett. 46(3): 829-844 (2017)
Conference and Workshop Papers
- 2022
- [c5]David Díaz-Vico, Ángela Fernández, José R. Dorronsoro:
Companion Losses for Ordinal Regression. HAIS 2022: 211-222 - 2021
- [c4]David Díaz-Vico, Ángela Fernández, José R. Dorronsoro:
Companion Losses for Deep Neural Networks. HAIS 2021: 538-549 - 2019
- [c3]David Díaz-Vico, Jesús Prada, Adil Omari, José R. Dorronsoro:
Deep Support Vector Classification and Regression. IWINAC (2) 2019: 33-43 - 2018
- [c2]David Díaz-Vico, Aníbal R. Figueiras-Vidal, José R. Dorronsoro:
Deep MLPs for Imbalanced Classification. IJCNN 2018: 1-7 - 2017
- [c1]David Díaz-Vico, Adil Omari, Alberto Torres-Barrán, José Ramón Dorronsoro:
Deep Fisher Discriminant Analysis. IWANN (2) 2017: 501-512
Coauthor Index
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