Carlos M. Alaíz

Ángela Fernández Pascual

CoRR, 2023

Structure Learning in Deep Multi-Task Models.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

2022

Convex Multi-Task Learning with Neural Networks.

[BibT_eX]

[DOI]

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

2021

Faster SVM training via conjugate SMO.

[BibT_eX]

[DOI]

Alberto Torres-Barrán

Pattern Recognit., 2021

Convex formulation for multi-task L1-, L2-, and LS-SVMs.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Adaptive Graph Laplacian for Convex Multi-Task Learning SVM.

[BibT_eX]

[DOI]

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

2020

Machine Learning Nowcasting of PV Energy Using Satellite Data.

[BibT_eX]

[DOI]

Alberto Torres-Barrán

Neural Process. Lett., 2020

Convex Graph Laplacian Multi-Task Learning SVM.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Modified Grid Searches for Hyper-Parameter Optimization.

[BibT_eX]

[DOI]

David López

Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

Visualization of the Feature Space of Neural Networks.

[BibT_eX]

[DOI]

Ángela Fernández

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Robust classification of graph-based data.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2019

Flexible Kernel Selection in Multitask Support Vector Regression.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

A Convex Formulation of SVM-Based Multi-task Learning.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

2018

Convex Formulation for Kernel PCA and Its Use in Semisupervised Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

ν-SVM solutions of constrained Lasso and Elastic net.

[BibT_eX]

[DOI]

Alberto Torres-Barrán

Neurocomputing, 2018

Modified Frank-Wolfe algorithm for enhanced sparsity in support vector machine classifiers.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Fused Lasso Dimensionality Reduction of Highly Correlated NWP Features.

[BibT_eX]

[DOI]

Proceedings of the Data Analytics for Renewable Energy Integration. Technologies, Systems and Society, 2018

Accelerated Block Coordinate Descent for Sparse Group Lasso.

[BibT_eX]

[DOI]

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

Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization Path.

[BibT_eX]

[DOI]

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2016

Magnetic Eigenmaps for Visualization of Directed Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Magnetic eigenmaps for community detection in directed networks.

[BibT_eX]

[DOI]

CoRR, 2016

Convex Formulation for Kernel PCA and its Use in Semi-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2016

2015

The Generalized Group Lasso.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Solving constrained Lasso and Elastic Net using nu-SVMs.

[BibT_eX]

[DOI]

Alberto Torres

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Diffusion Maps parameters selection based on neighbourhood preservation.

[BibT_eX]

[DOI]

Ángela Fernández

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

Kernel K-Means Low Rank Approximation for Spectral Clustering and Diffusion Maps.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

2013

Diffusion Methods for Wind Power Ramp Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2013

Group Fused Lasso.

[BibT_eX]

[DOI]

Álvaro Barbero Jiménez

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012

Sparse methods for wind energy prediction.

[BibT_eX]

[DOI]

Álvaro Barbero Jiménez

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Diffusion Maps and Local Models for Wind Power Prediction.

[BibT_eX]

[DOI]

Ángela Fernández Pascual

Ana Ma González Marcos

Julia Díaz García

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Sparse Linear Wind Farm Energy Forecast.

[BibT_eX]

[DOI]

Alberto Torres

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

On the Learning of ESN Linear Readouts.

[BibT_eX]

[DOI]