Carlos M. Alaíz

42 papers B 8C 3Misc 5Journal 19Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers. ICANN (1) Miguel N. Font, Jose L. Jorro-Aragoneses, Carlos M. Alaíz
2025	J	`jnl`	A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers. CoRR Miguel N. Font, Jose L. Jorro-Aragoneses, Carlos M. Alaíz
2025	J	`jnl`	Deep Diffusion Maps. CoRR Sergio García-Heredia, Ángela Fernández, Carlos M. Alaíz
2024	J	`jnl`	A survey on kernel-based multi-task learning. Neurocomputing Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
2024	J	`jnl`	Adaptive graph Laplacian MTL L1, L2 and LS-SVMs. Log. J. IGPL Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
2024	J	`jnl`	Functional diffusion maps. Stat. Comput. María Barroso, Carlos M. Alaíz, José L. Torrecilla, Ángela Fernández
2024	C	`conf`	Learning Analytics Tools to Analyze Progress and Results With Moodle LMS Data. EDUCON Cristina Alonso-Fernández, Jose L. Jorro-Aragoneses, Carlos M. Alaíz, Pilar Rodríguez
2023	J	`jnl`	Fault Detection in Induction Motors using Functional Dimensionality Reduction Methods. CoRR María Barroso, José M. Bossio, Carlos M. Alaíz, Ángela Fernández Pascual
2023	Misc	`conf`	Structure Learning in Deep Multi-Task Models. HAIS Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
2022	Misc	`conf`	Convex Multi-Task Learning with Neural Networks. HAIS Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
2021	Misc	`conf`	Adaptive Graph Laplacian for Convex Multi-Task Learning SVM. HAIS Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
2021	J	`jnl`	Convex formulation for multi-task L1-, L2-, and LS-SVMs. Neurocomputing Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
2021	J	`jnl`	Faster SVM training via conjugate SMO. Pattern Recognit. Alberto Torres-Barrán, Carlos M. Alaíz, José R. Dorronsoro
2020	—	`conf`	Convex Graph Laplacian Multi-Task Learning SVM. ICANN (2) Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
2020	J	`jnl`	Faster SVM Training via Conjugate SMO. CoRR Alberto Torres-Barrán, Carlos M. Alaíz, José R. Dorronsoro
2020	J	`jnl`	Machine Learning Nowcasting of PV Energy Using Satellite Data. Neural Process. Lett. Alejandro Catalina, Alberto Torres-Barrán, Carlos M. Alaíz, José R. Dorronsoro
2020	Misc	`conf`	Modified Grid Searches for Hyper-Parameter Optimization. HAIS David López, Carlos M. Alaíz, José R. Dorronsoro
2020	B	`conf`	Visualization of the Feature Space of Neural Networks. ESANN Carlos M. Alaíz, Ángela Fernández, José R. Dorronsoro
2019	Misc	`conf`	A Convex Formulation of SVM-Based Multi-task Learning. HAIS Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
2019	B	`conf`	Flexible Kernel Selection in Multitask Support Vector Regression. IJCNN Carlos Ruiz, Carlos M. Alaíz, Alejandro Catalina, José R. Dorronsoro
2019	J	`jnl`	Robust classification of graph-based data. Data Min. Knowl. Discov. Carlos M. Alaíz, Michaël Fanuel, Johan A. K. Suykens
2018	B	`conf`	Accelerated Block Coordinate Descent for Sparse Group Lasso. IJCNN Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro
2018	J	`jnl`	Convex Formulation for Kernel PCA and Its Use in Semisupervised Learning. IEEE Trans. Neural Networks Learn. Syst. Carlos M. Alaíz, Michaël Fanuel, Johan A. K. Suykens
2018	—	`conf`	Fused Lasso Dimensionality Reduction of Highly Correlated NWP Features. DARE@PKDD/ECML Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro
2018	J	`jnl`	Modified Frank-Wolfe algorithm for enhanced sparsity in support vector machine classifiers. Neurocomputing Carlos M. Alaíz, Johan A. K. Suykens
2018	B	`conf`	Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization Path. ESANN Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro
2018	J	`jnl`	ν-SVM solutions of constrained Lasso and Elastic net. Neurocomputing Alberto Torres-Barrán, Carlos M. Alaíz, José R. Dorronsoro
2017	J	`jnl`	Modified Frank-Wolfe Algorithm for Enhanced Sparsity in Support Vector Machine Classifiers. CoRR Carlos M. Alaíz, Johan A. K. Suykens
2016	J	`jnl`	Convex Formulation for Kernel PCA and its Use in Semi-Supervised Learning. CoRR Carlos M. Alaíz, Michaël Fanuel, Johan A. K. Suykens
2016	J	`jnl`	Magnetic Eigenmaps for Visualization of Directed Networks. CoRR Michaël Fanuel, Ángela Fernández, Carlos M. Alaíz, Johan A. K. Suykens
2016	J	`jnl`	Magnetic eigenmaps for community detection in directed networks. CoRR Michaël Fanuel, Carlos M. Alaíz, Johan A. K. Suykens
2016	J	`jnl`	Robust Classification of Graph-Based Data. CoRR Carlos M. Alaíz, Michaël Fanuel, Johan A. K. Suykens
2015	B	`conf`	Diffusion Maps parameters selection based on neighbourhood preservation. ESANN Carlos M. Alaíz, Ángela Fernández, José R. Dorronsoro
2015	B	`conf`	Solving constrained Lasso and Elastic Net using nu-SVMs. ESANN Carlos M. Alaíz, Alberto Torres, José R. Dorronsoro
2015	B	`conf`	The Generalized Group Lasso. IJCNN Carlos M. Alaíz, José R. Dorronsoro
2014	C	`conf`	Kernel K-Means Low Rank Approximation for Spectral Clustering and Diffusion Maps. IDEAL Carlos M. Alaíz, Ángela Fernández, Yvonne Gala, José R. Dorronsoro
2013	—	`conf`	Diffusion Methods for Wind Power Ramp Detection. IWANN (1) Ángela Fernández, Carlos M. Alaíz, Ana M. González, Julia Díaz García, José R. Dorronsoro
2013	C	`conf`	Group Fused Lasso. ICANN Carlos M. Alaíz, Álvaro Barbero Jiménez, José R. Dorronsoro
2012	—	`conf`	Diffusion Maps and Local Models for Wind Power Prediction. ICANN (2) Ángela Fernández Pascual, Carlos M. Alaíz, Ana Ma González Marcos, Julia Díaz García, José R. Dorronsoro
2012	—	`conf`	Sparse Linear Wind Farm Energy Forecast. ICANN (2) Carlos M. Alaíz, Alberto Torres, José R. Dorronsoro
2012	B	`conf`	Sparse methods for wind energy prediction. IJCNN Carlos M. Alaíz, Álvaro Barbero Jiménez, José R. Dorronsoro
2011	—	`conf`	On the Learning of ESN Linear Readouts. CAEPIA Carlos M. Alaíz, José R. Dorronsoro