José R. Dorronsoro

According to our database, José R. Dorronsoro authored at least 117 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A survey on kernel-based multi-task learning.

Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro

Neurocomputing, 2024

Nyström and RFF Ensembles for Large-Scale Kernel Predictions.

Blanca Cano, Ángela Fernández Pascual, José R. Dorronsoro

Proceedings of the Hybrid Artificial Intelligent Systems - 19th International Conference, 2024

2023

Companion Classification Losses for Regression Problems.

Aitor Sánchez-Ferrera, José R. Dorronsoro

Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

Structure Learning in Deep Multi-Task Models.

Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro

Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

Robust Losses in Deep Regression.

Adrián Rubio, José R. Dorronsoro

Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

2022

Supervised outlier detection for classification and regression.

Ángela Fernández, Juan Bella, José R. Dorronsoro

Neurocomputing, 2022

Convex Multi-Task Learning with Neural Networks.

Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro

Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

Companion Losses for Ordinal Regression.

David Díaz-Vico, Ángela Fernández, José R. Dorronsoro

Proceedings of the Hybrid Artificial Intelligent Systems - 17th International Conference, 2022

2021

Faster SVM training via conjugate SMO.

Alberto Torres-Barrán, Carlos M. Alaíz, José R. Dorronsoro

Pattern Recognit., 2021

Convex formulation for multi-task L1-, L2-, and LS-SVMs.

Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro

Neurocomputing, 2021

Adaptive Graph Laplacian for Convex Multi-Task Learning SVM.

Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro

Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

Companion Losses for Deep Neural Networks.

David Díaz-Vico, Ángela Fernández, José R. Dorronsoro

Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

2020

Deep Least Squares Fisher Discriminant Analysis.

David Díaz-Vico, José R. Dorronsoro

IEEE Trans. Neural Networks Learn. Syst., 2020

Machine Learning Nowcasting of PV Energy Using Satellite Data.

Alejandro Catalina, Alberto Torres-Barrán, Carlos M. Alaíz, José R. Dorronsoro

Neural Process. Lett., 2020

Deep support vector neural networks.

David Díaz-Vico, Jesús Prada, Adil Omari, José R. Dorronsoro

Integr. Comput. Aided Eng., 2020

Auto-adaptive multi-scale Laplacian Pyramids for modeling non-uniform data.

Ángela Fernández, Neta Rabin, Dalia Fishelov, José R. Dorronsoro

Eng. Appl. Artif. Intell., 2020

Convex Graph Laplacian Multi-Task Learning SVM.

Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Modified Grid Searches for Hyper-Parameter Optimization.

David López, Carlos M. Alaíz, José R. Dorronsoro

Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

Supervised Hyperparameter Estimation for Anomaly Detection.

Juan Bella, Ángela Fernández, José R. Dorronsoro

Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

Visualization of the Feature Space of Neural Networks.

Carlos M. Alaíz, Ángela Fernández, José R. Dorronsoro

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Regression tree ensembles for wind energy and solar radiation prediction.

Alberto Torres-Barrán, Álvaro Alonso, José R. Dorronsoro

Neurocomputing, 2019

Day-Ahead Price Forecasting for the Spanish Electricity Market.

Álvaro Romero, José Ramón Dorronsoro, Julia Díaz García

Int. J. Interact. Multim. Artif. Intell., 2019

Deep Support Vector Classification and Regression.

David Díaz-Vico, Jesús Prada, Adil Omari, José R. Dorronsoro

Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019

Flexible Kernel Selection in Multitask Support Vector Regression.

Carlos Ruiz, Carlos M. Alaíz, Alejandro Catalina, José R. Dorronsoro

Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Diffusion Autoencoders.

Sara Dorado, Ángela Fernández, José R. Dorronsoro

Proceedings of the International Joint Conference on Neural Networks, 2019

A Convex Formulation of SVM-Based Multi-task Learning.

Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro

Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019

2018

ν-SVM solutions of constrained Lasso and Elastic net.

Alberto Torres-Barrán, Carlos M. Alaíz, José R. Dorronsoro

Neurocomputing, 2018

Fused Lasso Dimensionality Reduction of Highly Correlated NWP Features.

Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro

Proceedings of the Data Analytics for Renewable Energy Integration. Technologies, Systems and Society, 2018

Deep MLPs for Imbalanced Classification.

David Díaz-Vico, Aníbal R. Figueiras-Vidal, José R. Dorronsoro

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Accelerated Block Coordinate Descent for Sparse Group Lasso.

Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction.

Víctor de la Pompa, Alejandro Catalina, José R. Dorronsoro

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization Path.

Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Deep Neural Networks for Wind and Solar Energy Prediction.

David Díaz-Vico, Alberto Torres-Barrán, Adil Omari, José R. Dorronsoro

Neural Process. Lett., 2017

NWP Ensembles for Wind Energy Uncertainty Estimates.

Alejandro Catalina, José R. Dorronsoro

Proceedings of the Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy, 2017

General Noise SVRs and Uncertainty Intervals.

Jesús Prada, José Ramón Dorronsoro

Proceedings of the Advances in Computational Intelligence, 2017

Deep Fisher Discriminant Analysis.

David Díaz-Vico, Adil Omari, Alberto Torres-Barrán, José Ramón Dorronsoro

Proceedings of the Advances in Computational Intelligence, 2017

Satellite Based Nowcasting of PV Energy over Peninsular Spain.

Alejandro Catalina, Alberto Torres-Barrán, José R. Dorronsoro

Proceedings of the Advances in Computational Intelligence, 2017

2016

Hybrid machine learning forecasting of solar radiation values.

Yvonne Gala, Ángela Fernández, Julia Díaz García, José R. Dorronsoro

Neurocomputing, 2016

Machine Learning Prediction of Photovoltaic Energy from Satellite Sources.

Alejandro Catalina, Alberto Torres-Barrán, José R. Dorronsoro

Proceedings of the Data Analytics for Renewable Energy Integration, 2016

Conjugate descent for the SMO algorithm.

Alberto Torres-Barrán, José R. Dorronsoro

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Nesterov Acceleration for the SMO Algorithm.

Alberto Torres-Barrán, José R. Dorronsoro

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Auto-adaptive Laplacian Pyramids.

Ángela Fernández, Neta Rabin, Dalia Fishelov, José R. Dorronsoro

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Linear convergence rate for the MDM algorithm for the Nearest Point Problem.

Jorge López Lázaro, José R. Dorronsoro

Pattern Recognit., 2015

Diffusion Maps for dimensionality reduction and visualization of meteorological data.

Ángela Fernández, Ana M. González, Julia Díaz García, José R. Dorronsoro

Neurocomputing, 2015

SVRs and Uncertainty Estimates in Wind Energy Prediction.

Jesús Prada, José Ramón Dorronsoro

Proceedings of the Advances in Computational Intelligence, 2015

Deep Neural Networks for Wind Energy Prediction.

David Díaz, Alberto Torres, José R. Dorronsoro

Proceedings of the Advances in Computational Intelligence, 2015

The Generalized Group Lasso.

Carlos M. Alaíz, José R. Dorronsoro

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Random Forests and Gradient Boosting for Wind Energy Prediction.

Álvaro Alonso, Alberto Torres, José R. Dorronsoro

Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015

Solving constrained Lasso and Elastic Net using nu-SVMs.

Carlos M. Alaíz, Alberto Torres, José R. Dorronsoro

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Diffusion Maps parameters selection based on neighbourhood preservation.

Carlos M. Alaíz, Ángela Fernández, José R. Dorronsoro

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

Machine Learning Prediction of Large Area Photovoltaic Energy Production.

Ángela Fernández, Yvonne Gala, José R. Dorronsoro

Proceedings of the Data Analytics for Renewable Energy Integration, 2014

Kernel K-Means Low Rank Approximation for Spectral Clustering and Diffusion Maps.

Carlos M. Alaíz, Ángela Fernández, Yvonne Gala, José R. Dorronsoro

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Sparse one hidden layer MLPs.

Alberto Torres, David Díaz, José R. Dorronsoro

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013

Auto-adaptative Laplacian Pyramids for high-dimensional data analysis.

Ángela Fernández, Neta Rabin, José R. Dorronsoro

CoRR, 2013

Diffusion Methods for Wind Power Ramp Detection.

Ángela Fernández, Carlos M. Alaíz, Ana M. González, Julia Díaz García, José R. Dorronsoro

Proceedings of the Advances in Computational Intelligence, 2013

The convergence rate of linearly separable SMO.

Jorge López Lázaro, José R. Dorronsoro

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Group Fused Lasso.

Carlos M. Alaíz, Álvaro Barbero Jiménez, José R. Dorronsoro

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Support Vector Forecasting of Solar Radiation Values.

Yvonne Gala, Ángela Fernández, Julia Díaz García, José R. Dorronsoro

Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013

2012

Simple Proof of Convergence of the SMO Algorithm for Different SVM Variants.

Jorge López Lázaro, José R. Dorronsoro

IEEE Trans. Neural Networks Learn. Syst., 2012

The convergence rate of the MDM algorithm.

Jorge López Lázaro, José R. Dorronsoro

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Sparse methods for wind energy prediction.

Carlos M. Alaíz, Álvaro Barbero Jiménez, José R. Dorronsoro

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Diffusion Maps and Local Models for Wind Power Prediction.

Ángela Fernández Pascual, Carlos M. Alaíz, Ana Ma González Marcos, Julia Díaz García, José R. Dorronsoro

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Sparse Linear Wind Farm Energy Forecast.

Carlos M. Alaíz, Alberto Torres, José R. Dorronsoro

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Diffusion Maps for the Description of Meteorological Data.

Ángela Fernández, Ana M. González, Julia Díaz García, José R. Dorronsoro

Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

2011

Clipping algorithms for solving the nearest point problem over reduced convex hulls.

Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro

Pattern Recognit., 2011

Cycle-breaking acceleration for support vector regression.

Álvaro Barbero Jiménez, José R. Dorronsoro

Neurocomputing, 2011

Convergence of algorithms for solving the Nearest Point Problem in Reduced Convex Hulls.

Jorge López Lázaro, José R. Dorronsoro

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Momentum Sequential Minimal Optimization: An accelerated method for Support Vector Machine training.

Álvaro Barbero Jiménez, José R. Dorronsoro

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Momentum Acceleration of Least-Squares Support Vector Machines.

Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Sparse LS-SVMs with L0 - norm minimization.

Jorge López Lázaro, Kris De Brabanter, José R. Dorronsoro, Johan A. K. Suykens

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

On the Learning of ESN Linear Readouts.

Carlos M. Alaíz, José R. Dorronsoro

Proceedings of the Advances in Artificial Intelligence, 2011

2010

An MDM solver for the nearest point problem in Scaled Convex Hulls.

Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro

Proceedings of the International Joint Conference on Neural Networks, 2010

A Common Framework for the Convergence of the GSK, MDM and SMO Algorithms.

Jorge López Lázaro, José R. Dorronsoro

Proceedings of the Artificial Neural Networks, 2010

Faster Directions for Second Order SMO.

Álvaro Barbero Jiménez, José R. Dorronsoro

Proceedings of the Artificial Neural Networks, 2010

Least 1-Norm SVMs: a new SVM variant between standard and LS-SVMs.

Jorge López Lázaro, José R. Dorronsoro

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

Machine Learning Techniques for the Automated Classification of Adhesin-Like Proteins in the Human Protozoan Parasite Trypanosoma cruzi.

Ana M. González, Francisco Azuaje, Jose L. Ramirez, Jose F. da Silveira, José R. Dorronsoro

IEEE ACM Trans. Comput. Biol. Bioinform., 2009

Finding optimal model parameters by deterministic and annealed focused grid search.

Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro

Neurocomputing, 2009

Cycle-breaking acceleration of SVM training.

Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro

Neurocomputing, 2009

A Simple Maximum Gain Algorithm for Support Vector Regression.

Álvaro Barbero Jiménez, José R. Dorronsoro

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable Problems.

Jorge López Lázaro, José R. Dorronsoro

Proceedings of the Artificial Neural Networks, 2009

Rosen's projection method for SVM training.

Jorge López Lázaro, José R. Dorronsoro

Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

2008

Finding Optimal Model Parameters by Discrete Grid Search.

Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro

Proceedings of the Innovations in Hybrid Intelligent Systems, 2008

Natural conjugate gradient training of multilayer perceptrons.

Ana M. González, José R. Dorronsoro

Neurocomputing, 2008

On the Equivalence of the SMO and MDM Algorithms for SVM Training.

Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

A 4-Vector MDM Algorithm for Support Vector Training.

Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro

Proceedings of the Artificial Neural Networks, 2008

Simple Clipping Algorithms for Reduced Convex Hull SVM Training.

Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro

Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

An accelerated MDM algorithm for SVM training.

Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007

Natural learning in NLDA networks.

Ana M. González, José R. Dorronsoro

Neural Networks, 2007

Coefficient Structure of Kernel Perceptrons and Support Vector Reduction.

Daniel García, Ana M. González, José R. Dorronsoro

Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

Square Penalty Support Vector Regression.

Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro

Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Accelerating Kernel Perceptron Learning.

Daniel García, Ana M. González, José R. Dorronsoro

Proceedings of the Artificial Neural Networks, 2007

2006

A Note on Conjugate Natural Gradient Training of Multilayer Perceptrons.

Ana M. González, José R. Dorronsoro

Proceedings of the International Joint Conference on Neural Networks, 2006

Convex Perceptrons.

Daniel García, Ana M. González, José R. Dorronsoro

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

2005

Boosting Parallel Perceptrons for Label Noise Reduction in Classification Problems.

Iván Cantador, José R. Dorronsoro

Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

Balanced Boosting with Parallel Perceptrons.

Iván Cantador, José R. Dorronsoro

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Discriminant Parallel Perceptrons.

Ana M. González, Iván Cantador, José R. Dorronsoro

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning.

Iván Cantador, José R. Dorronsoro

Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

2004

Statistical Structure of Natural 4 × 4 Image Patches.

Kostadin Koroutchev, José R. Dorronsoro

Proceedings of the Structural, 2004

Factorization of Natural 4×4 Patch Distributions.

Kostadin Koroutchev, José R. Dorronsoro

Proceedings of the Statistical Methods in Video Processing, 2004

2003

Autoassociative neural networks and noise filtering.

José R. Dorronsoro, Vicente López, Carlos Santa Cruz, Juan A. Sigüenza

IEEE Trans. Signal Process., 2003

A New Information Measure for Natural Images.

Kostadin Koroutchev, José R. Dorronsoro

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Linear Unit Relevance in Multiclass NLDA Networks.

José R. Dorronsoro, Ana M. González, Eduardo Serrano

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Hash-Like Fractal Image Compression with Linear Execution Time.

Kostadin Koroutchev, José R. Dorronsoro

Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

Statistics of natural images using hash fractal image compression.

Kostadin Koroutchev, José R. Dorronsoro

Proceedings of the 4th International Conference on Computer Systems and Technologies: e-Learning, 2003

2002

Natural Gradient and Multiclass NLDA Networks.

José R. Dorronsoro, Ana M. González

Proceedings of the Artificial Neural Networks, 2002

2001

Natural Gradient Learning in NLDA Networks.

José R. Dorronsoro, Ana M. González, Carlos Santa Cruz

Proceedings of the Connectionist Models of Neurons, 2001

Architecture Selection in NLDA Networks.

José R. Dorronsoro, Ana M. González, Carlos Santa Cruz

Proceedings of the Artificial Neural Networks, 2001

1999

Small Sample Discrimination and Professional Performance Assessment.

David Aguado, José R. Dorronsoro, Beatriz Lucía, Carlos Santa Cruz

Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999

1998

A nonlinear discriminant algorithm for feature extraction and data classification.

Carlos Santa Cruz, José R. Dorronsoro

IEEE Trans. Neural Networks, 1998

1997

Neural fraud detection in credit card operations.

José R. Dorronsoro, Francisco Ginel, Carmen Sanchez, Carlos Santa Cruz

IEEE Trans. Neural Networks, 1997

Redes neuronales y clasificacion de datos: diagnóstico médico, reconocimiento de caracteres y detección de fraude.

José R. Dorronsoro, Vicente López, Carlos Santa Cruz, Juan A. Sigüenza

Inteligencia Artif., 1997

Noise Discrimination and Autoassociative Neural Networks.

Carlos Santa Cruz, José R. Dorronsoro, Juan A. Sigüenza, Vicente López

Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997

1996

A Nonlinear Discriminant Algorithm for Data Projection and Feature Extraction.

Carlos Santa Cruz, José R. Dorronsoro

Proceedings of the Artificial Neural Networks, 1996

1995

Neural networks in large scale bank effect recognition.

Alejandro Sierra, Carlos Santa Cruz, V. López, G. Fractman, José R. Dorronsoro, C. Aguirre, J. M. Soto, A. Medina, R. López, S. A. Keon

Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995

Fast Automatic Architecture Selection on RBF Networks.

Ana M. González, Carlos Santa Cruz, Vicente López, José R. Dorronsoro

Proceedings of the From Natural to Artificial Neural Computation, 1995

1994

Analysis and Forecasting of Time Series by Averaged Scalar Products of Flow Vectors.

Carlos Santa Cruz, Ramón Huerta, José R. Dorronsoro, Vicente López

Complex Syst., 1994

1993

Recurrent and Feedforward Polynomial Modeling of Coupled Time Series.

Vicente López, Ramón Huerta, José R. Dorronsoro

Neural Comput., 1993