José R. Dorronsoro

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 46

Top Venues

Publications

Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
A survey on kernel-based multi-task learning. Neurocomputing 577 (2024)
Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
Structure Learning in Deep Multi-Task Models. HAIS (2023)
Aitor Sánchez-Ferrera, José R. Dorronsoro
Companion Classification Losses for Regression Problems. HAIS (2023)
Adrián Rubio, José R. Dorronsoro
Robust Losses in Deep Regression. HAIS (2023)
Ángela Fernández, Juan Bella, José R. Dorronsoro
Supervised outlier detection for classification and regression. Neurocomputing 486 (2022)
David Díaz-Vico, Ángela Fernández, José R. Dorronsoro
Companion Losses for Ordinal Regression. HAIS (2022)
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)
David Díaz-Vico, Ángela Fernández, José R. Dorronsoro
Companion Losses for Deep Neural Networks. HAIS (2021)
Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
Convex formulation for multi-task L1-, L2-, and LS-SVMs. Neurocomputing 456 (2021)
David Díaz-Vico, José R. Dorronsoro
Deep Least Squares Fisher Discriminant Analysis. IEEE Trans. Neural Networks Learn. Syst. 31 (8) (2020)
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 Díaz-Vico, Jesús Prada, Adil Omari, José R. Dorronsoro
Deep support vector neural networks. Integr. Comput. Aided Eng. 27 (4) (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)
Juan Bella, Ángela Fernández, José R. Dorronsoro
Supervised Hyperparameter Estimation for Anomaly Detection. HAIS (2020)
Ángela Fernández, Neta Rabin, Dalia Fishelov, José R. Dorronsoro
Auto-adaptive multi-scale Laplacian Pyramids for modeling non-uniform data. Eng. Appl. Artif. Intell. 93 (2020)
David Díaz-Vico, Jesús Prada, Adil Omari, José R. Dorronsoro
Deep Support Vector Classification and Regression. IWINAC (2) (2019)
Carlos Ruiz, Carlos M. Alaíz, José R. Dorronsoro
A Convex Formulation of SVM-Based Multi-task Learning. HAIS (2019)
Sara Dorado, Ángela Fernández, José R. Dorronsoro
Deep Diffusion Autoencoders. IJCNN (2019)
Alberto Torres-Barrán, Álvaro Alonso, José R. Dorronsoro
Regression tree ensembles for wind energy and solar radiation prediction. Neurocomputing (2019)
Carlos Ruiz, Carlos M. Alaíz, Alejandro Catalina, José R. Dorronsoro
Flexible Kernel Selection in Multitask Support Vector Regression. IJCNN (2019)
Víctor de la Pompa, Alejandro Catalina, José R. Dorronsoro
Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction. IDEAL (2) (2018)
Alejandro Catalina, Carlos M. Alaíz, José R. Dorronsoro
Fused Lasso Dimensionality Reduction of Highly Correlated NWP Features. DARE@PKDD/ECML (2018)
David Díaz-Vico, Aníbal R. Figueiras-Vidal, José R. Dorronsoro
Deep MLPs for Imbalanced Classification. IJCNN (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)
Alejandro Catalina, Alberto Torres-Barrán, José R. Dorronsoro
Satellite Based Nowcasting of PV Energy over Peninsular Spain. IWANN (1) (2017)
David Díaz-Vico, Alberto Torres-Barrán, Adil Omari, José R. Dorronsoro
Deep Neural Networks for Wind and Solar Energy Prediction. Neural Process. Lett. 46 (3) (2017)
Alejandro Catalina, José R. Dorronsoro
NWP Ensembles for Wind Energy Uncertainty Estimates. DARE@PKDD/ECML (2017)
Alberto Torres-Barrán, José R. Dorronsoro
Conjugate descent for the SMO algorithm. IJCNN (2016)
Ángela Fernández, Neta Rabin, Dalia Fishelov, José R. Dorronsoro
Auto-adaptive Laplacian Pyramids. ESANN (2016)
Yvonne Gala, Ángela Fernández, Julia Díaz García, José R. Dorronsoro
Hybrid machine learning forecasting of solar radiation values. Neurocomputing 176 (2016)
Alberto Torres-Barrán, José R. Dorronsoro
Nesterov Acceleration for the SMO Algorithm. ICANN (2) (2016)
Alejandro Catalina, Alberto Torres-Barrán, José R. Dorronsoro
Machine Learning Prediction of Photovoltaic Energy from Satellite Sources. DARE@PKDD/ECML (2016)
Álvaro Alonso, Alberto Torres, José R. Dorronsoro
Random Forests and Gradient Boosting for Wind Energy Prediction. HAIS (2015)
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)
Jorge López Lázaro, José R. Dorronsoro
Linear convergence rate for the MDM algorithm for the Nearest Point Problem. Pattern Recognit. 48 (4) (2015)
David Díaz, Alberto Torres, José R. Dorronsoro
Deep Neural Networks for Wind Energy Prediction. IWANN (1) (2015)
Carlos M. Alaíz, José R. Dorronsoro
The Generalized Group Lasso. IJCNN (2015)
Ángela Fernández, Ana M. González, Julia Díaz García, José R. Dorronsoro
Diffusion Maps for dimensionality reduction and visualization of meteorological data. Neurocomputing 163 (2015)
Ángela Fernández, Yvonne Gala, José R. Dorronsoro
Machine Learning Prediction of Large Area Photovoltaic Energy Production. DARE (2014)
Carlos M. Alaíz, Ángela Fernández, Yvonne Gala, José R. Dorronsoro
Kernel K-Means Low Rank Approximation for Spectral Clustering and Diffusion Maps. IDEAL (2014)
Alberto Torres, David Díaz, José R. Dorronsoro
Sparse one hidden layer MLPs. ESANN (2014)
Jorge López Lázaro, José R. Dorronsoro
The convergence rate of linearly separable SMO. IJCNN (2013)
Ángela Fernández, Carlos M. Alaíz, Ana M. González, Julia Díaz García, José R. Dorronsoro
Diffusion Methods for Wind Power Ramp Detection. IWANN (1) (2013)
Yvonne Gala, Ángela Fernández, Julia Díaz García, José R. Dorronsoro
Support Vector Forecasting of Solar Radiation Values. HAIS (2013)
Carlos M. Alaíz, Álvaro Barbero Jiménez, José R. Dorronsoro
Group Fused Lasso. ICANN (2013)
Ángela Fernández, Neta Rabin, José R. Dorronsoro
Auto-adaptative Laplacian Pyramids for high-dimensional data analysis. CoRR (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)
Jorge López Lázaro, José R. Dorronsoro
Simple Proof of Convergence of the SMO Algorithm for Different SVM Variants. IEEE Trans. Neural Networks Learn. Syst. 23 (7) (2012)
Jorge López Lázaro, José R. Dorronsoro
The convergence rate of the MDM algorithm. IJCNN (2012)
Ángela Fernández, Ana M. González, Julia Díaz García, José R. Dorronsoro
Diffusion Maps for the Description of Meteorological Data. HAIS (1) (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)
Álvaro Barbero Jiménez, José R. Dorronsoro
Momentum Sequential Minimal Optimization: An accelerated method for Support Vector Machine training. IJCNN (2011)
Jorge López Lázaro, Kris De Brabanter, José R. Dorronsoro, Johan A. K. Suykens
Sparse LS-SVMs with L0 - norm minimization. ESANN (2011)
Álvaro Barbero Jiménez, José R. Dorronsoro
Cycle-breaking acceleration for support vector regression. Neurocomputing 74 (16) (2011)
Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
Clipping algorithms for solving the nearest point problem over reduced convex hulls. Pattern Recognit. 44 (3) (2011)
Jorge López Lázaro, José R. Dorronsoro
Convergence of algorithms for solving the Nearest Point Problem in Reduced Convex Hulls. IJCNN (2011)
Carlos M. Alaíz, José R. Dorronsoro
On the Learning of ESN Linear Readouts. CAEPIA (2011)
Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
Momentum Acceleration of Least-Squares Support Vector Machines. ICANN (2) (2011)
Álvaro Barbero Jiménez, José R. Dorronsoro
Faster Directions for Second Order SMO. ICANN (2) (2010)
Jorge López Lázaro, José R. Dorronsoro
Least 1-Norm SVMs: a new SVM variant between standard and LS-SVMs. ESANN (2010)
Jorge López Lázaro, José R. Dorronsoro
A Common Framework for the Convergence of the GSK, MDM and SMO Algorithms. ICANN (2) (2010)
Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
An MDM solver for the nearest point problem in Scaled Convex Hulls. IJCNN (2010)
Álvaro Barbero Jiménez, José R. Dorronsoro
A Simple Maximum Gain Algorithm for Support Vector Regression. IWANN (1) (2009)
Jorge López Lázaro, José R. Dorronsoro
Rosen's projection method for SVM training. ESANN (2009)
Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
Finding optimal model parameters by deterministic and annealed focused grid search. Neurocomputing 72 (13-15) (2009)
Jorge López Lázaro, José R. Dorronsoro
A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable Problems. ICANN (1) (2009)
Ana M. González, Francisco Azuaje, Jose L. Ramirez, Jose F. da Silveira, José R. Dorronsoro
Machine Learning Techniques for the Automated Classification of Adhesin-Like Proteins in the Human Protozoan Parasite Trypanosoma cruzi. IEEE ACM Trans. Comput. Biol. Bioinform. 6 (4) (2009)
Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
Cycle-breaking acceleration of SVM training. Neurocomputing 72 (7-9) (2009)
Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
A 4-Vector MDM Algorithm for Support Vector Training. ICANN (1) (2008)
Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
Simple Clipping Algorithms for Reduced Convex Hull SVM Training. HAIS (2008)
Jorge López Lázaro, Álvaro Barbero Jiménez, José R. Dorronsoro
On the Equivalence of the SMO and MDM Algorithms for SVM Training. ECML/PKDD (1) (2008)
Ana M. González, José R. Dorronsoro
Natural conjugate gradient training of multilayer perceptrons. Neurocomputing 71 (13-15) (2008)
Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
An accelerated MDM algorithm for SVM training. ESANN (2008)
Daniel García, Ana M. González, José R. Dorronsoro
Coefficient Structure of Kernel Perceptrons and Support Vector Reduction. IWINAC (1) (2007)
Ana M. González, José R. Dorronsoro
Natural learning in NLDA networks. Neural Networks 20 (5) (2007)
Daniel García, Ana M. González, José R. Dorronsoro
Accelerating Kernel Perceptron Learning. ICANN (1) (2007)
Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro
Square Penalty Support Vector Regression. IDEAL (2007)
Daniel García, Ana M. González, José R. Dorronsoro
Convex Perceptrons. IDEAL (2006)
Ana M. González, José R. Dorronsoro
Natural Conjugate Gradient Training of Multilayer Perceptrons. ICANN (1) (2006)
Ana M. González, José R. Dorronsoro
A Note on Conjugate Natural Gradient Training of Multilayer Perceptrons. IJCNN (2006)
Iván Cantador, José R. Dorronsoro
Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning. IbPRIA (2) (2005)
Iván Cantador, José R. Dorronsoro
Boosting Parallel Perceptrons for Label Noise Reduction in Classification Problems. IWINAC (2) (2005)
Ana M. González, Iván Cantador, José R. Dorronsoro
Discriminant Parallel Perceptrons. ICANN (2) (2005)
Iván Cantador, José R. Dorronsoro
Balanced Boosting with Parallel Perceptrons. IWANN (2005)
Kostadin Koroutchev, José R. Dorronsoro
Statistical Structure of Natural 4 × 4 Image Patches. SSPR/SPR (2004)
Kostadin Koroutchev, José R. Dorronsoro
Factorization of Natural 4×4 Patch Distributions. ECCV Workshop SMVP (2004)
Kostadin Koroutchev, José R. Dorronsoro
A New Information Measure for Natural Images. IWANN (2) (2003)
José R. Dorronsoro, Ana M. González, Eduardo Serrano
Linear Unit Relevance in Multiclass NLDA Networks. IWANN (1) (2003)
Kostadin Koroutchev, José R. Dorronsoro
Hash-Like Fractal Image Compression with Linear Execution Time. IbPRIA (2003)
José R. Dorronsoro, Vicente López, Carlos Santa Cruz, Juan A. Sigüenza
Autoassociative neural networks and noise filtering. IEEE Trans. Signal Process. 51 (5) (2003)
Kostadin Koroutchev, José R. Dorronsoro
Statistics of natural images using hash fractal image compression. CompSysTech (2003)

José R. Dorronsoro.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

José R. Dorronsoro