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Carlos M. Alaíz

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2019
[j4]
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Carlos M. Alaíz, Michaël Fanuel, Johan A. K. Suykens:
Robust classification of graph-based data. Data Min. Knowl. Discov. 33(1): 230-251 (2019)
2018
[j3]
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  - journals/ijon/Torres-BarranAD18
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Alberto Torres-Barrán, Carlos M. Alaíz, José R. Dorronsoro:
ν-SVM solutions of constrained Lasso and Elastic net. Neurocomputing 275: 1921-1931 (2018)
[j2]
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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]
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Carlos M. Alaíz, Michaël Fanuel, Johan A. K. Suykens:
Convex Formulation for Kernel PCA and Its Use in Semisupervised Learning. IEEE Trans. Neural Netw. Learning Syst. 29(8): 3863-3869 (2018)
[c13]
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  - conf/esann/CatalinaAD18
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Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro:
Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization Path. ESANN 2018
[c12]
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Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro:
Accelerated Block Coordinate Descent for Sparse Group Lasso. IJCNN 2018: 1-8
[c11]
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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]
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  - journals/corr/AlaizS17
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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]
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  - journals/corr/FanuelAS16
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Michaël Fanuel, Carlos M. Alaíz, Johan A. K. Suykens:
Magnetic eigenmaps for community detection in directed networks. CoRR abs/1606.07359 (2016)
[i3]
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Michaël Fanuel, Ángela Fernández Pascual, Carlos M. Alaíz, Johan A. K. Suykens:
Magnetic Eigenmaps for Visualization of Directed Networks. CoRR abs/1606.08266 (2016)
[i2]
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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]
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Carlos M. Alaíz, Michaël Fanuel, Johan A. K. Suykens:
Robust Classification of Graph-Based Data. CoRR abs/1612.07141 (2016)
2015
[c10]
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Carlos M. Alaíz, Ángela Fernández Pascual, José R. Dorronsoro:
Diffusion Maps parameters selection based on neighbourhood preservation. ESANN 2015
[c9]
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Carlos M. Alaíz, Alberto Torres, José R. Dorronsoro:
Solving constrained Lasso and Elastic Net using nu-SVMs. ESANN 2015
[c8]
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  - conf/ijcnn/AlaizD15
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Carlos M. Alaíz, José R. Dorronsoro:
The Generalized Group Lasso. IJCNN 2015: 1-8
2014
[c7]
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  - conf/ideal/AlaizPGD14
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Carlos M. Alaíz, Ángela Fernández Pascual, Yvonne Gala, José R. Dorronsoro:
Kernel K-Means Low Rank Approximation for Spectral Clustering and Diffusion Maps. IDEAL 2014: 239-246
2013
[c6]
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  - conf/icann/AlaizJD13
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Carlos M. Alaíz, Álvaro Barbero Jiménez, José R. Dorronsoro:
Group Fused Lasso. ICANN 2013: 66-73
[c5]
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  - conf/iwann/PascualAGGD13
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Ángela Fernández Pascual, 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]
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  - conf/icann/AlaizTD12
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Carlos M. Alaíz, Alberto Torres, José R. Dorronsoro:
Sparse Linear Wind Farm Energy Forecast. ICANN (2) 2012: 557-564
[c3]
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  - conf/icann/PascualAMGD12
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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]
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Carlos M. Alaíz, Álvaro Barbero Jiménez, José R. Dorronsoro:
Sparse methods for wind energy prediction. IJCNN 2012: 1-7
2011
[c1]
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  - conf/caepia/AlaizD11
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Carlos M. Alaíz, José R. Dorronsoro:
On the Learning of ESN Linear Readouts. CAEPIA 2011: 124-133

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