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Carlos M. Alaíz
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2020 – today
- 2024
- [j9]Carlos Ruiz
, Carlos M. Alaíz
A survey on kernel-based multi-task learning. Neurocomputing 577: 127255 (2024) - [j8]María Barroso, Carlos M. Alaíz, José L. Torrecilla, Ángela Fernández:
Functional diffusion maps. Stat. Comput. 34(1): 22 (2024) - [c22]Cristina Alonso-Fernández, Jose L. Jorro-Aragoneses, Carlos M. Alaíz, Pilar Rodríguez:
Learning Analytics Tools to Analyze Progress and Results With Moodle LMS Data. EDUCON 2024: 1-7 - 2023
- [c21]Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro:
Structure Learning in Deep Multi-Task Models. HAIS 2023: 269-280 - [i8]María Barroso, Carlos María Alaíz, Ángela Fernández Pascual, José Luis Torrecilla:
Functional Diffusion Maps. CoRR abs/2304.14378 (2023) - [i7]María Barroso, José M. Bossio, Carlos M. Alaíz, Ángela Fernández Pascual:
Fault Detection in Induction Motors using Functional Dimensionality Reduction Methods. CoRR abs/2306.09365 (2023) - 2022
- [c20]Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro:
Convex Multi-Task Learning with Neural Networks. HAIS 2022: 223-235 - 2021
- [j7]Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro:
Convex formulation for multi-task L1-, L2-, and LS-SVMs. Neurocomputing 456: 599-608 (2021) - [j6]Alberto Torres-Barrán
Faster SVM training via conjugate SMO. Pattern Recognit. 111: 107644 (2021) - [c19]Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro:
Adaptive Graph Laplacian for Convex Multi-Task Learning SVM. HAIS 2021: 219-230 - 2020
- [j5]Alejandro Catalina
Machine Learning Nowcasting of PV Energy Using Satellite Data. Neural Process. Lett. 52(1): 97-115 (2020) - [c18]Carlos M. Alaíz, Ángela Fernández, José R. Dorronsoro:
Visualization of the Feature Space of Neural Networks. ESANN 2020: 169-174 - [c17]David López
Modified Grid Searches for Hyper-Parameter Optimization. HAIS 2020: 221-232 - [c16]Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro:
Convex Graph Laplacian Multi-Task Learning SVM. ICANN (2) 2020: 142-154 - [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
Robust classification of graph-based data. Data Min. Knowl. Discov. 33(1): 230-251 (2019) - [c15]Carlos Ruiz, Carlos M. Alaíz
A Convex Formulation of SVM-Based Multi-task Learning. HAIS 2019: 404-415 - [c14]Carlos Ruiz, Carlos M. Alaíz
Flexible Kernel Selection in Multitask Support Vector Regression. IJCNN 2019: 1-8 - 2018
- [j3]Alberto Torres-Barrán
ν-SVM solutions of constrained Lasso and Elastic net. Neurocomputing 275: 1921-1931 (2018) - [j2]Carlos M. Alaíz
Modified Frank-Wolfe algorithm for enhanced sparsity in support vector machine classifiers. Neurocomputing 320: 47-59 (2018) - [j1]Carlos M. Alaíz
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
Accelerated Block Coordinate Descent for Sparse Group Lasso. IJCNN 2018: 1-8 - [c11]Alejandro Catalina, Carlos M. Alaíz
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
The Generalized Group Lasso. IJCNN 2015: 1-8 - 2014
- [c7]Carlos M. Alaíz
Kernel K-Means Low Rank Approximation for Spectral Clustering and Diffusion Maps. IDEAL 2014: 239-246 - 2013
- [c6]Carlos M. Alaíz
Group Fused Lasso. ICANN 2013: 66-73 - [c5]Ángela Fernández
Diffusion Methods for Wind Power Ramp Detection. IWANN (1) 2013: 106-113 - 2012
- [c4]Carlos M. Alaíz
Sparse Linear Wind Farm Energy Forecast. ICANN (2) 2012: 557-564 - [c3]Ángela Fernández Pascual
Diffusion Maps and Local Models for Wind Power Prediction. ICANN (2) 2012: 565-572 - [c2]Carlos M. Alaíz
Sparse methods for wind energy prediction. IJCNN 2012: 1-7 - 2011
- [c1]Carlos M. Alaíz
On the Learning of ESN Linear Readouts. CAEPIA 2011: 124-133
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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