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Semantic ScholarCarlos M. Alaíz
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2020 – today
- 2020
[i6]Alberto Torres-Barrán, Carlos M. Alaíz, José R. Dorronsoro:
Faster SVM Training via Conjugate SMO. CoRR abs/2003.08719 (2020)
2010 – 2019
- 2019
- [j4]Carlos M. Alaíz
, Michaël Fanuel, Johan A. K. Suykens:
Robust classification of graph-based data. Data Min. Knowl. Discov. 33(1): 230-251 (2019) - [c15]Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro:
A Convex Formulation of SVM-Based Multi-task Learning. HAIS 2019: 404-415 - [c14]Carlos Ruiz, Carlos M. Alaíz, Alejandro Catalina, José R. Dorronsoro:
Flexible Kernel Selection in Multitask Support Vector Regression. IJCNN 2019: 1-8 - 2018
- [j3]Alberto Torres-Barrán, Carlos M. Alaíz, José R. Dorronsoro:
ν-SVM solutions of constrained Lasso and Elastic net. Neurocomputing 275: 1921-1931 (2018) - [j2]Carlos M. Alaíz, Johan A. K. Suykens:
Modified Frank-Wolfe algorithm for enhanced sparsity in support vector machine classifiers. Neurocomputing 320: 47-59 (2018) - [j1]Carlos M. Alaíz, Michaël Fanuel, Johan A. K. Suykens:
Convex Formulation for Kernel PCA and Its Use in Semisupervised Learning. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3863-3869 (2018) - [c13]Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro:
Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization Path. ESANN 2018 - [c12]Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro:
Accelerated Block Coordinate Descent for Sparse Group Lasso. IJCNN 2018: 1-8 - [c11]Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro:
Fused Lasso Dimensionality Reduction of Highly Correlated NWP Features. DARE@PKDD/ECML 2018: 13-26 - 2017
- [i5]Carlos M. Alaíz, Johan A. K. Suykens:
Modified Frank-Wolfe Algorithm for Enhanced Sparsity in Support Vector Machine Classifiers. CoRR abs/1706.05928 (2017) - 2016
- [i4]Michaël Fanuel, Carlos M. Alaíz, Johan A. K. Suykens:
Magnetic eigenmaps for community detection in directed networks. CoRR abs/1606.07359 (2016) - [i3]Michaël Fanuel, Ángela Fernández, Carlos M. Alaíz, Johan A. K. Suykens:
Magnetic Eigenmaps for Visualization of Directed Networks. CoRR abs/1606.08266 (2016) - [i2]Carlos M. Alaíz, Michaël Fanuel, Johan A. K. Suykens:
Convex Formulation for Kernel PCA and its Use in Semi-Supervised Learning. CoRR abs/1610.06811 (2016) - [i1]Carlos M. Alaíz, Michaël Fanuel, Johan A. K. Suykens:
Robust Classification of Graph-Based Data. CoRR abs/1612.07141 (2016) - 2015
- [c10]Carlos M. Alaíz, Ángela Fernández, José R. Dorronsoro:
Diffusion Maps parameters selection based on neighbourhood preservation. ESANN 2015 - [c9]Carlos M. Alaíz, Alberto Torres, José R. Dorronsoro:
Solving constrained Lasso and Elastic Net using nu-SVMs. ESANN 2015 - [c8]Carlos M. Alaíz, José R. Dorronsoro:
The Generalized Group Lasso. IJCNN 2015: 1-8 - 2014
- [c7]Carlos M. Alaíz, Ángela Fernández, Yvonne Gala, José R. Dorronsoro:
Kernel K-Means Low Rank Approximation for Spectral Clustering and Diffusion Maps. IDEAL 2014: 239-246 - 2013
- [c6]Carlos M. Alaíz, Álvaro Barbero Jiménez, José R. Dorronsoro:
Group Fused Lasso. ICANN 2013: 66-73 - [c5]Ángela Fernández, Carlos M. Alaíz, Ana M. González, Julia Díaz García, José R. Dorronsoro:
Diffusion Methods for Wind Power Ramp Detection. IWANN (1) 2013: 106-113 - 2012
- [c4]Carlos M. Alaíz, Alberto Torres, José R. Dorronsoro:
Sparse Linear Wind Farm Energy Forecast. ICANN (2) 2012: 557-564 - [c3]Ángela Fernández Pascual, Carlos M. Alaíz, Ana Ma González Marcos, Julia Díaz García, José R. Dorronsoro:
Diffusion Maps and Local Models for Wind Power Prediction. ICANN (2) 2012: 565-572 - [c2]Carlos M. Alaíz, Álvaro Barbero Jiménez, José R. Dorronsoro:
Sparse methods for wind energy prediction. IJCNN 2012: 1-7 - 2011
- [c1]Carlos M. Alaíz, José R. Dorronsoro:
On the Learning of ESN Linear Readouts. CAEPIA 2011: 124-133
Coauthor Index
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