Carlos M. Alaíz

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 31

Top Topics

Dimensionality Reduction

Convex Formulation

Top Venues

Publications

Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
A survey on kernel-based multi-task learning. Neurocomputing 577 (2024)
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)
María Barroso, Carlos M. Alaíz, José L. Torrecilla, Ángela Fernández
Functional diffusion maps. Stat. Comput. 34 (1) (2024)
Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
Structure Learning in Deep Multi-Task Models. HAIS (2023)
María Barroso, José M. Bossio, Carlos M. Alaíz, Ángela Fernández Pascual
Fault Detection in Induction Motors using Functional Dimensionality Reduction Methods. CoRR (2023)
Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
Convex Multi-Task Learning with Neural Networks. HAIS (2022)
Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
Adaptive Graph Laplacian for Convex Multi-Task Learning SVM. HAIS (2021)
Alberto Torres-Barrán, Carlos M. Alaíz, José R. Dorronsoro
Faster SVM training via conjugate SMO. Pattern Recognit. 111 (2021)
Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
Convex formulation for multi-task L1-, L2-, and LS-SVMs. Neurocomputing 456 (2021)
Carlos M. Alaíz, Ángela Fernández, José R. Dorronsoro
Visualization of the Feature Space of Neural Networks. ESANN (2020)
Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
Convex Graph Laplacian Multi-Task Learning SVM. ICANN (2) (2020)
Alejandro Catalina, Alberto Torres-Barrán, Carlos M. Alaíz, José R. Dorronsoro
Machine Learning Nowcasting of PV Energy Using Satellite Data. Neural Process. Lett. 52 (1) (2020)
David López, Carlos M. Alaíz, José R. Dorronsoro
Modified Grid Searches for Hyper-Parameter Optimization. HAIS (2020)
Alberto Torres-Barrán, Carlos M. Alaíz, José R. Dorronsoro
Faster SVM Training via Conjugate SMO. CoRR (2020)
Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
A Convex Formulation of SVM-Based Multi-task Learning. HAIS (2019)
Carlos M. Alaíz, Michaël Fanuel, Johan A. K. Suykens
Robust classification of graph-based data. Data Min. Knowl. Discov. 33 (1) (2019)
Carlos Ruiz, Carlos M. Alaíz, Alejandro Catalina, José R. Dorronsoro
Flexible Kernel Selection in Multitask Support Vector Regression. IJCNN (2019)
Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro
Fused Lasso Dimensionality Reduction of Highly Correlated NWP Features. DARE@PKDD/ECML (2018)
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) (2018)
Carlos M. Alaíz, Johan A. K. Suykens
Modified Frank-Wolfe algorithm for enhanced sparsity in support vector machine classifiers. Neurocomputing 320 (2018)
Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro
Accelerated Block Coordinate Descent for Sparse Group Lasso. IJCNN (2018)
Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro
Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization Path. ESANN (2018)
Alberto Torres-Barrán, Carlos M. Alaíz, José R. Dorronsoro
ν-SVM solutions of constrained Lasso and Elastic net. Neurocomputing 275 (2018)
Carlos M. Alaíz, Johan A. K. Suykens
Modified Frank-Wolfe Algorithm for Enhanced Sparsity in Support Vector Machine Classifiers. CoRR (2017)
Carlos M. Alaíz, Michaël Fanuel, Johan A. K. Suykens
Convex Formulation for Kernel PCA and its Use in Semi-Supervised Learning. CoRR (2016)
Carlos M. Alaíz, Michaël Fanuel, Johan A. K. Suykens
Robust Classification of Graph-Based Data. CoRR (2016)
Michaël Fanuel, Ángela Fernández, Carlos M. Alaíz, Johan A. K. Suykens
Magnetic Eigenmaps for Visualization of Directed Networks. CoRR (2016)
Michaël Fanuel, Carlos M. Alaíz, Johan A. K. Suykens
Magnetic eigenmaps for community detection in directed networks. CoRR (2016)
Carlos M. Alaíz, Ángela Fernández, José R. Dorronsoro
Diffusion Maps parameters selection based on neighbourhood preservation. ESANN (2015)
Carlos M. Alaíz, Alberto Torres, José R. Dorronsoro
Solving constrained Lasso and Elastic Net using nu-SVMs. ESANN (2015)
Carlos M. Alaíz, José R. Dorronsoro
The Generalized Group Lasso. IJCNN (2015)
Carlos M. Alaíz, Ángela Fernández, Yvonne Gala, José R. Dorronsoro
Kernel K-Means Low Rank Approximation for Spectral Clustering and Diffusion Maps. IDEAL (2014)
Ángela Fernández, Carlos M. Alaíz, Ana M. González, Julia Díaz García, José R. Dorronsoro
Diffusion Methods for Wind Power Ramp Detection. IWANN (1) (2013)
Carlos M. Alaíz, Álvaro Barbero Jiménez, José R. Dorronsoro
Group Fused Lasso. ICANN (2013)
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)
Carlos M. Alaíz, Alberto Torres, José R. Dorronsoro
Sparse Linear Wind Farm Energy Forecast. ICANN (2) (2012)
Carlos M. Alaíz, Álvaro Barbero Jiménez, José R. Dorronsoro
Sparse methods for wind energy prediction. IJCNN (2012)
Carlos M. Alaíz, José R. Dorronsoro
On the Learning of ESN Linear Readouts. CAEPIA (2011)