José R. Dorronsoro

119 papers B 23C 8Misc 17Journal 32Unranked 38

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Comparative analysis of kernel approximation methods and their ensemble architectures. Neurocomputing Blanca Cano-Camarero, Ángela Fernández, José R. Dorronsoro
2025	—	`conf`	Analysis of Kernel Thinning for Scalable Support Vector Machines. HAIS (1) Blanca Cano, Ángela Fernández, José R. Dorronsoro
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	—	`conf`	Nyström and RFF Ensembles for Large-Scale Kernel Predictions. HAIS (1) Blanca Cano, Ángela Fernández Pascual, José R. Dorronsoro
2023	Misc	`conf`	Companion Classification Losses for Regression Problems. HAIS Aitor Sánchez-Ferrera, José R. Dorronsoro
2023	Misc	`conf`	Robust Losses in Deep Regression. HAIS Adrián Rubio, José R. Dorronsoro
2023	Misc	`conf`	Structure Learning in Deep Multi-Task Models. HAIS Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
2022	Misc	`conf`	Companion Losses for Ordinal Regression. HAIS David Díaz-Vico, Ángela Fernández, José R. Dorronsoro
2022	Misc	`conf`	Convex Multi-Task Learning with Neural Networks. HAIS Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
2022	J	`jnl`	Supervised outlier detection for classification and regression. Neurocomputing Ángela Fernández, Juan Bella, 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	Misc	`conf`	Companion Losses for Deep Neural Networks. HAIS David Díaz-Vico, Ángela Fernández, 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	J	`jnl`	Auto-adaptive multi-scale Laplacian Pyramids for modeling non-uniform data. Eng. Appl. Artif. Intell. Ángela Fernández, Neta Rabin, Dalia Fishelov, 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`	Deep Least Squares Fisher Discriminant Analysis. IEEE Trans. Neural Networks Learn. Syst. David Díaz-Vico, José R. Dorronsoro
2020	J	`jnl`	Deep support vector neural networks. Integr. Comput. Aided Eng. David Díaz-Vico, Jesús Prada, Adil Omari, 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	Misc	`conf`	Supervised Hyperparameter Estimation for Anomaly Detection. HAIS Juan Bella, Ángela Fernández, 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`	Deep Diffusion Autoencoders. IJCNN Sara Dorado, Ángela Fernández, José R. Dorronsoro
2019	—	`conf`	Deep Support Vector Classification and Regression. IWINAC (2) David Díaz-Vico, Jesús Prada, Adil Omari, 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`	Regression tree ensembles for wind energy and solar radiation prediction. Neurocomputing Alberto Torres-Barrán, Álvaro Alonso, José R. Dorronsoro
2018	B	`conf`	Accelerated Block Coordinate Descent for Sparse Group Lasso. IJCNN Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro
2018	B	`conf`	Deep MLPs for Imbalanced Classification. IJCNN David Díaz-Vico, Aníbal R. Figueiras-Vidal, José R. Dorronsoro
2018	—	`conf`	Fused Lasso Dimensionality Reduction of Highly Correlated NWP Features. DARE@PKDD/ECML Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro
2018	—	`conf`	Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction. IDEAL (2) Víctor de la Pompa, Alejandro Catalina, José R. Dorronsoro
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`	Deep Neural Networks for Wind and Solar Energy Prediction. Neural Process. Lett. David Díaz-Vico, Alberto Torres-Barrán, Adil Omari, José R. Dorronsoro
2017	—	`conf`	NWP Ensembles for Wind Energy Uncertainty Estimates. DARE@PKDD/ECML Alejandro Catalina, José R. Dorronsoro
2017	—	`conf`	Satellite Based Nowcasting of PV Energy over Peninsular Spain. IWANN (1) Alejandro Catalina, Alberto Torres-Barrán, José R. Dorronsoro
2016	B	`conf`	Auto-adaptive Laplacian Pyramids. ESANN Ángela Fernández, Neta Rabin, Dalia Fishelov, José R. Dorronsoro
2016	B	`conf`	Conjugate descent for the SMO algorithm. IJCNN Alberto Torres-Barrán, José R. Dorronsoro
2016	J	`jnl`	Hybrid machine learning forecasting of solar radiation values. Neurocomputing Yvonne Gala, Ángela Fernández, Julia Díaz García, José R. Dorronsoro
2016	—	`conf`	Machine Learning Prediction of Photovoltaic Energy from Satellite Sources. DARE@PKDD/ECML Alejandro Catalina, Alberto Torres-Barrán, José R. Dorronsoro
2016	—	`conf`	Nesterov Acceleration for the SMO Algorithm. ICANN (2) Alberto Torres-Barrán, José R. Dorronsoro
2015	—	`conf`	Deep Neural Networks for Wind Energy Prediction. IWANN (1) David Díaz, Alberto Torres, José R. Dorronsoro
2015	J	`jnl`	Diffusion Maps for dimensionality reduction and visualization of meteorological data. Neurocomputing Ángela Fernández, Ana M. González, Julia Díaz García, José R. Dorronsoro
2015	B	`conf`	Diffusion Maps parameters selection based on neighbourhood preservation. ESANN Carlos M. Alaíz, Ángela Fernández, José R. Dorronsoro
2015	J	`jnl`	Linear convergence rate for the MDM algorithm for the Nearest Point Problem. Pattern Recognit. Jorge López Lázaro, José R. Dorronsoro
2015	Misc	`conf`	Random Forests and Gradient Boosting for Wind Energy Prediction. HAIS Álvaro Alonso, Alberto Torres, 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
2014	—	`conf`	Machine Learning Prediction of Large Area Photovoltaic Energy Production. DARE Ángela Fernández, Yvonne Gala, José R. Dorronsoro
2014	B	`conf`	Sparse one hidden layer MLPs. ESANN Alberto Torres, David Díaz, José R. Dorronsoro
2013	J	`jnl`	Auto-adaptative Laplacian Pyramids for high-dimensional data analysis. CoRR Ángela Fernández, Neta Rabin, 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
2013	Misc	`conf`	Support Vector Forecasting of Solar Radiation Values. HAIS Yvonne Gala, Ángela Fernández, Julia Díaz García, José R. Dorronsoro
2013	B	`conf`	The convergence rate of linearly separable SMO. IJCNN Jorge López Lázaro, 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`	Diffusion Maps for the Description of Meteorological Data. HAIS (1) Ángela Fernández, Ana M. González, Julia Díaz García, José R. Dorronsoro
2012	J	`jnl`	Simple Proof of Convergence of the SMO Algorithm for Different SVM Variants. IEEE Trans. Neural Networks Learn. Syst. Jorge López Lázaro, 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
2012	B	`conf`	The convergence rate of the MDM algorithm. IJCNN Jorge López Lázaro, José R. Dorronsoro
2011	J	`jnl`	Clipping algorithms for solving the nearest point problem over reduced convex hulls. Pattern Recognit. Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
2011	B	`conf`	Convergence of algorithms for solving the Nearest Point Problem in Reduced Convex Hulls. IJCNN Jorge López Lázaro, José R. Dorronsoro
2011	J	`jnl`	Cycle-breaking acceleration for support vector regression. Neurocomputing Álvaro Barbero Jiménez, José R. Dorronsoro
2011	—	`conf`	Momentum Acceleration of Least-Squares Support Vector Machines. ICANN (2) Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
2011	B	`conf`	Momentum Sequential Minimal Optimization: An accelerated method for Support Vector Machine training. IJCNN Álvaro Barbero Jiménez, José R. Dorronsoro
2011	—	`conf`	On the Learning of ESN Linear Readouts. CAEPIA Carlos M. Alaíz, José R. Dorronsoro
2011	B	`conf`	Sparse LS-SVMs with L0 - norm minimization. ESANN Jorge López Lázaro, Kris De Brabanter, José R. Dorronsoro, Johan A. K. Suykens
2010	—	`conf`	A Common Framework for the Convergence of the GSK, MDM and SMO Algorithms. ICANN (2) Jorge López Lázaro, José R. Dorronsoro
2010	B	`conf`	An MDM solver for the nearest point problem in Scaled Convex Hulls. IJCNN Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
2010	—	`conf`	Faster Directions for Second Order SMO. ICANN (2) Álvaro Barbero Jiménez, José R. Dorronsoro
2010	B	`conf`	Least 1-Norm SVMs: a new SVM variant between standard and LS-SVMs. ESANN Jorge López Lázaro, José R. Dorronsoro
2009	—	`conf`	A Simple Maximum Gain Algorithm for Support Vector Regression. IWANN (1) Álvaro Barbero Jiménez, José R. Dorronsoro
2009	—	`conf`	A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable Problems. ICANN (1) Jorge López Lázaro, José R. Dorronsoro
2009	J	`jnl`	Cycle-breaking acceleration of SVM training. Neurocomputing Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
2009	J	`jnl`	Finding optimal model parameters by deterministic and annealed focused grid search. Neurocomputing Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
2009	J	`jnl`	Machine Learning Techniques for the Automated Classification of Adhesin-Like Proteins in the Human Protozoan Parasite Trypanosoma cruzi. IEEE ACM Trans. Comput. Biol. Bioinform. Ana M. González, Francisco Azuaje, Jose L. Ramirez, Jose F. da Silveira, José R. Dorronsoro
2009	B	`conf`	Rosen's projection method for SVM training. ESANN Jorge López Lázaro, José R. Dorronsoro
2008	—	`conf`	A 4-Vector MDM Algorithm for Support Vector Training. ICANN (1) Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
2008	B	`conf`	An accelerated MDM algorithm for SVM training. ESANN Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
2008	—	`ch.`	Finding Optimal Model Parameters by Discrete Grid Search. Innovations in Hybrid Intelligent Systems Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
2008	J	`jnl`	Natural conjugate gradient training of multilayer perceptrons. Neurocomputing Ana M. González, José R. Dorronsoro
2008	—	`conf`	On the Equivalence of the SMO and MDM Algorithms for SVM Training. ECML/PKDD (1) Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
2008	Misc	`conf`	Simple Clipping Algorithms for Reduced Convex Hull SVM Training. HAIS Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
2007	—	`conf`	Accelerating Kernel Perceptron Learning. ICANN (1) Daniel García, Ana M. González, José R. Dorronsoro
2007	—	`conf`	Coefficient Structure of Kernel Perceptrons and Support Vector Reduction. IWINAC (1) Daniel García, Ana M. González, José R. Dorronsoro
2007	J	`jnl`	Natural learning in NLDA networks. Neural Networks Ana M. González, José R. Dorronsoro
2007	C	`conf`	Square Penalty Support Vector Regression. IDEAL Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
2006	B	`conf`	A Note on Conjugate Natural Gradient Training of Multilayer Perceptrons. IJCNN Ana M. González, José R. Dorronsoro
2006	C	`conf`	Convex Perceptrons. IDEAL Daniel García, Ana M. González, José R. Dorronsoro
2006	—	`conf`	Natural Conjugate Gradient Training of Multilayer Perceptrons. ICANN (1) Ana M. González, José R. Dorronsoro
2005	Misc	`conf`	Balanced Boosting with Parallel Perceptrons. IWANN Iván Cantador, José R. Dorronsoro
2005	—	`conf`	Boosting Parallel Perceptrons for Label Noise Reduction in Classification Problems. IWINAC (2) Iván Cantador, José R. Dorronsoro
2005	—	`conf`	Discriminant Parallel Perceptrons. ICANN (2) Ana M. González, Iván Cantador, José R. Dorronsoro
2005	—	`conf`	Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning. IbPRIA (2) Iván Cantador, José R. Dorronsoro
2004	—	`conf`	Factorization of Natural 4×4 Patch Distributions. ECCV Workshop SMVP Kostadin Koroutchev, José R. Dorronsoro
2004	—	`conf`	Statistical Structure of Natural 4 × 4 Image Patches. SSPR/SPR Kostadin Koroutchev, José R. Dorronsoro
2003	—	`conf`	A New Information Measure for Natural Images. IWANN (2) Kostadin Koroutchev, José R. Dorronsoro
2003	J	`jnl`	Autoassociative neural networks and noise filtering. IEEE Trans. Signal Process. José R. Dorronsoro, Vicente López, Carlos Santa Cruz, Juan A. Sigüenza
2003	Misc	`conf`	Hash-Like Fractal Image Compression with Linear Execution Time. IbPRIA Kostadin Koroutchev, José R. Dorronsoro
2003	—	`conf`	Linear Unit Relevance in Multiclass NLDA Networks. IWANN (1) José R. Dorronsoro, Ana M. González, Eduardo Serrano
2003	—	`conf`	Statistics of natural images using hash fractal image compression. CompSysTech Kostadin Koroutchev, José R. Dorronsoro
2002	C	`ed.`	Artificial Neural Networks - ICANN 2002, International Conference, Madrid, Spain, August 28-30, 2002, Proceedings ICANN José R. Dorronsoro
2002	C	`conf`	Natural Gradient and Multiclass NLDA Networks. ICANN José R. Dorronsoro, Ana M. González
2001	C	`conf`	Architecture Selection in NLDA Networks. ICANN José R. Dorronsoro, Ana M. González, Carlos Santa Cruz
2001	—	`conf`	Natural Gradient Learning in NLDA Networks. IWANN (1) José R. Dorronsoro, Ana M. González, Carlos Santa Cruz
1999	—	`conf`	Small Sample Discrimination and Professional Performance Assessment. IWANN (2) David Aguado, José R. Dorronsoro, Beatriz Lucía, Carlos Santa Cruz
1998	J	`jnl`	A nonlinear discriminant algorithm for feature extraction and data classification. IEEE Trans. Neural Networks Carlos Santa Cruz, José R. Dorronsoro
1997	J	`jnl`	Neural fraud detection in credit card operations. IEEE Trans. Neural Networks José R. Dorronsoro, Francisco Ginel, Carmen Sanchez, Carlos Santa Cruz
1997	Misc	`conf`	Noise Discrimination and Autoassociative Neural Networks. IWANN Carlos Santa Cruz, José R. Dorronsoro, Juan A. Sigüenza, Vicente López
1997	J	`jnl`	Redes neuronales y clasificacion de datos: diagnóstico médico, reconocimiento de caracteres y detección de fraude. Inteligencia Artif. José R. Dorronsoro, Vicente López, Carlos Santa Cruz, Juan A. Sigüenza
1996	C	`conf`	A Nonlinear Discriminant Algorithm for Data Projection and Feature Extraction. ICANN Carlos Santa Cruz, José R. Dorronsoro
1995	Misc	`conf`	Fast Automatic Architecture Selection on RBF Networks. IWANN Ana M. González, Carlos Santa Cruz, Vicente López, José R. Dorronsoro
1995	—	`conf`	Neural networks in large scale bank effect recognition. SNN Symposium on Neural Networks Alejandro Sierra, Carlos Santa Cruz, V. López, G. Fractman, José R. Dorronsoro, C. Aguirre, J. M. Soto, A. Medina, R. López, S. A. Keon
1994	J	`jnl`	Analysis and Forecasting of Time Series by Averaged Scalar Products of Flow Vectors. Complex Syst. Carlos Santa Cruz, Ramón Huerta, José R. Dorronsoro, Vicente López
1993	J	`jnl`	Recurrent and Feedforward Polynomial Modeling of Coupled Time Series. Neural Comput. Vicente López, Ramón Huerta, José R. Dorronsoro