| 2026 | ESANN | Kernel Thinning for faster KSVM hyper-parametrization. | Blanca Cano-Camarero, ngela Fernndez, Jos R. Dorronsoro |
| 2025 | HAIS | Analysis of Kernel Thinning for Scalable Support Vector Machines. | Blanca Cano, ngela Fernndez, Jos R. Dorronsoro |
| 2024 | HAIS | Nystrm and RFF Ensembles for Large-Scale Kernel Predictions. | Blanca Cano, ngela Fernndez Pascual, Jos R. Dorronsoro |
| 2023 | HAIS | Robust Losses in Deep Regression. | Adrin Rubio, Jos R. Dorronsoro |
| 2023 | HAIS | Structure Learning in Deep Multi-Task Models. | Carlos Ruiz, Carlos M. Alaz, Jos R. Dorronsoro |
| 2023 | HAIS | Companion Classification Losses for Regression Problems. | Aitor Snchez-Ferrera, Jos R. Dorronsoro |
| 2022 | HAIS | Companion Losses for Ordinal Regression. | David Daz-Vico, ngela Fernndez, Jos R. Dorronsoro |
| 2022 | HAIS | Convex Multi-Task Learning with Neural Networks. | Carlos Ruiz, Carlos M. Alaz, Jos R. Dorronsoro |
| 2021 | HAIS | Companion Losses for Deep Neural Networks. | David Daz-Vico, ngela Fernndez, Jos R. Dorronsoro |
| 2021 | HAIS | Adaptive Graph Laplacian for Convex Multi-Task Learning SVM. | Carlos Ruiz, Carlos M. Alaz, Jos R. Dorronsoro |
| 2020 | ESANN | Visualization of the Feature Space of Neural Networks. | Carlos M. Alaz, ngela Fernndez, Jos R. Dorronsoro |
| 2020 | HAIS | Supervised Hyperparameter Estimation for Anomaly Detection. | Juan Bella, ngela Fernndez, Jos R. Dorronsoro |
| 2020 | HAIS | Modified Grid Searches for Hyper-Parameter Optimization. | David Lpez, Carlos M. Alaz, Jos R. Dorronsoro |
| 2020 | ICANN | Convex Graph Laplacian Multi-Task Learning SVM. | Carlos Ruiz, Carlos M. Alaz, Jos R. Dorronsoro |
| 2019 | HAIS | A Convex Formulation of SVM-Based Multi-task Learning. | Carlos Ruiz, Carlos M. Alaz, Jos R. Dorronsoro |
| 2019 | IJCNN | Deep Diffusion Autoencoders. | Sara Dorado, ngela Fernndez, Jos R. Dorronsoro |
| 2019 | IJCNN | Flexible Kernel Selection in Multitask Support Vector Regression. | Carlos Ruiz, Carlos M. Alaz, Alejandro Catalina, Jos R. Dorronsoro |
| 2019 | IWINAC | Deep Support Vector Classification and Regression. | David Daz-Vico, Jess Prada, Adil Omari, Jos R. Dorronsoro |
| 2018 | ESANN | Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization Path. | Alejandro Catalina, Carlos M. Alaz, Jos R. Dorronsoro |
| 2018 | IJCNN | Accelerated Block Coordinate Descent for Sparse Group Lasso. | Alejandro Catalina, Carlos M. Alaz, Jos R. Dorronsoro |
| 2018 | IJCNN | Deep MLPs for Imbalanced Classification. | David Daz-Vico, Anbal R. Figueiras-Vidal, Jos R. Dorronsoro |
| 2018 | IDEAL | Gaussian Process Kernels for Support Vector Regression in Wind Energy Prediction. | Vctor de la Pompa, Alejandro Catalina, Jos R. Dorronsoro |
| 2017 | IWANN | Satellite Based Nowcasting of PV Energy over Peninsular Spain. | Alejandro Catalina, Alberto Torres-Barrn, Jos R. Dorronsoro |
| 2016 | ESANN | Auto-adaptive Laplacian Pyramids. | ngela Fernndez, Neta Rabin, Dalia Fishelov, Jos R. Dorronsoro |
| 2016 | ICANN | Nesterov Acceleration for the SMO Algorithm. | Alberto Torres-Barrn, Jos R. Dorronsoro |
| 2016 | IJCNN | Conjugate descent for the SMO algorithm. | Alberto Torres-Barrn, Jos R. Dorronsoro |
| 2015 | ESANN | Diffusion Maps parameters selection based on neighbourhood preservation. | Carlos M. Alaz, ngela Fernndez, Jos R. Dorronsoro |
| 2015 | ESANN | Solving constrained Lasso and Elastic Net using nu-SVMs. | Carlos M. Alaz, Alberto Torres, Jos R. Dorronsoro |
| 2015 | HAIS | Random Forests and Gradient Boosting for Wind Energy Prediction. | lvaro Alonso, Alberto Torres, Jos R. Dorronsoro |
| 2015 | IJCNN | The Generalized Group Lasso. | Carlos M. Alaz, Jos R. Dorronsoro |
| 2015 | IWANN | Deep Neural Networks for Wind Energy Prediction. | David Daz, Alberto Torres, Jos R. Dorronsoro |
| 2014 | ESANN | Sparse one hidden layer MLPs. | Alberto Torres, David Daz, Jos R. Dorronsoro |
| 2014 | IDEAL | Kernel K-Means Low Rank Approximation for Spectral Clustering and Diffusion Maps. | Carlos M. Alaz, ngela Fernndez, Yvonne Gala, Jos R. Dorronsoro |
| 2013 | HAIS | Support Vector Forecasting of Solar Radiation Values. | Yvonne Gala, ngela Fernndez, Julia Daz Garca, Jos R. Dorronsoro |
| 2013 | ICANN | Group Fused Lasso. | Carlos M. Alaz, lvaro Barbero Jimnez, Jos R. Dorronsoro |
| 2013 | IJCNN | The convergence rate of linearly separable SMO. | Jorge Lpez Lzaro, Jos R. Dorronsoro |
| 2013 | IWANN | Diffusion Methods for Wind Power Ramp Detection. | ngela Fernndez, Carlos M. Alaz, Ana M. Gonzlez, Julia Daz Garca, Jos R. Dorronsoro |
| 2012 | HAIS | Diffusion Maps for the Description of Meteorological Data. | ngela Fernndez, Ana M. Gonzlez, Julia Daz Garca, Jos R. Dorronsoro |
| 2012 | ICANN | Sparse Linear Wind Farm Energy Forecast. | Carlos M. Alaz, Alberto Torres, Jos R. Dorronsoro |
| 2012 | ICANN | Diffusion Maps and Local Models for Wind Power Prediction. | ngela Fernndez Pascual, Carlos M. Alaz, Ana Ma Gonzlez Marcos, Julia Daz Garca, Jos R. Dorronsoro |
| 2012 | IJCNN | Sparse methods for wind energy prediction. | Carlos M. Alaz, lvaro Barbero Jimnez, Jos R. Dorronsoro |
| 2012 | IJCNN | The convergence rate of the MDM algorithm. | Jorge Lpez Lzaro, Jos R. Dorronsoro |
| 2011 | ESANN | Sparse LS-SVMs with L0 - norm minimization. | Jorge Lpez Lzaro, Kris De Brabanter, Jos R. Dorronsoro, Johan A. K. Suykens |
| 2011 | ICANN | Momentum Acceleration of Least-Squares Support Vector Machines. | Jorge Lpez Lzaro, lvaro Barbero Jimnez, Jos R. Dorronsoro |
| 2011 | IJCNN | Momentum Sequential Minimal Optimization: An accelerated method for Support Vector Machine training. | lvaro Barbero Jimnez, Jos R. Dorronsoro |
| 2011 | IJCNN | Convergence of algorithms for solving the Nearest Point Problem in Reduced Convex Hulls. | Jorge Lpez Lzaro, Jos R. Dorronsoro |
| 2010 | ESANN | Least 1-Norm SVMs: a new SVM variant between standard and LS-SVMs. | Jorge Lpez Lzaro, Jos R. Dorronsoro |
| 2010 | ICANN | Faster Directions for Second Order SMO. | lvaro Barbero Jimnez, Jos R. Dorronsoro |
| 2010 | ICANN | A Common Framework for the Convergence of the GSK, MDM and SMO Algorithms. | Jorge Lpez Lzaro, Jos R. Dorronsoro |
| 2010 | IJCNN | An MDM solver for the nearest point problem in Scaled Convex Hulls. | Jorge Lpez Lzaro, lvaro Barbero Jimnez, Jos R. Dorronsoro |
| 2009 | ESANN | Rosen's projection method for SVM training. | Jorge Lpez Lzaro, Jos R. Dorronsoro |
| 2009 | ICANN | A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable Problems. | Jorge Lpez Lzaro, Jos R. Dorronsoro |
| 2009 | IWANN | A Simple Maximum Gain Algorithm for Support Vector Regression. | lvaro Barbero Jimnez, Jos R. Dorronsoro |
| 2008 | ESANN | An accelerated MDM algorithm for SVM training. | lvaro Barbero Jimnez, Jorge Lpez Lzaro, Jos R. Dorronsoro |
| 2008 | HAIS | Simple Clipping Algorithms for Reduced Convex Hull SVM Training. | Jorge Lpez Lzaro, lvaro Barbero Jimnez, Jos R. Dorronsoro |
| 2008 | ICANN | A 4-Vector MDM Algorithm for Support Vector Training. | lvaro Barbero Jimnez, Jorge Lpez Lzaro, Jos R. Dorronsoro |
| 2007 | ICANN | Accelerating Kernel Perceptron Learning. | Daniel Garca, Ana M. Gonzlez, Jos R. Dorronsoro |
| 2007 | IDEAL | Square Penalty Support Vector Regression. | lvaro Barbero Jimnez, Jorge Lpez Lzaro, Jos R. Dorronsoro |
| 2007 | IWINAC | Coefficient Structure of Kernel Perceptrons and Support Vector Reduction. | Daniel Garca, Ana M. Gonzlez, Jos R. Dorronsoro |
| 2006 | ICANN | Natural Conjugate Gradient Training of Multilayer Perceptrons. | Ana M. Gonzlez, Jos R. Dorronsoro |
| 2006 | IJCNN | A Note on Conjugate Natural Gradient Training of Multilayer Perceptrons. | Ana M. Gonzlez, Jos R. Dorronsoro |
| 2006 | IDEAL | Convex Perceptrons. | Daniel Garca, Ana M. Gonzlez, Jos R. Dorronsoro |
| 2005 | IBPRIA | Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning. | Ivn Cantador, Jos R. Dorronsoro |
| 2005 | ICANN | Discriminant Parallel Perceptrons. | Ana M. Gonzlez, Ivn Cantador, Jos R. Dorronsoro |
| 2005 | IWANN | Balanced Boosting with Parallel Perceptrons. | Ivn Cantador, Jos R. Dorronsoro |
| 2005 | IWINAC | Boosting Parallel Perceptrons for Label Noise Reduction in Classification Problems. | Ivn Cantador, Jos R. Dorronsoro |
| 2004 | ECCV | Factorization of Natural 4×4 Patch Distributions. | Kostadin Koroutchev, Jos R. Dorronsoro |
| 2004 | SSPR | Statistical Structure of Natural 4 × 4 Image Patches. | Kostadin Koroutchev, Jos R. Dorronsoro |
| 2003 | IBPRIA | Hash-Like Fractal Image Compression with Linear Execution Time. | Kostadin Koroutchev, Jos R. Dorronsoro |
| 2003 | IWANN | Linear Unit Relevance in Multiclass NLDA Networks. | Jos R. Dorronsoro, Ana M. Gonzlez, Eduardo Serrano |
| 2003 | IWANN | A New Information Measure for Natural Images. | Kostadin Koroutchev, Jos R. Dorronsoro |
| 2002 | ICANN | Natural Gradient and Multiclass NLDA Networks. | Jos R. Dorronsoro, Ana M. Gonzlez |
| 2001 | ICANN | Architecture Selection in NLDA Networks. | Jos R. Dorronsoro, Ana M. Gonzlez, Carlos Santa Cruz |
| 2001 | IWANN | Natural Gradient Learning in NLDA Networks. | Jos R. Dorronsoro, Ana M. Gonzlez, Carlos Santa Cruz |
| 1999 | IWANN | Small Sample Discrimination and Professional Performance Assessment. | David Aguado, Jos R. Dorronsoro, Beatriz Luca, Carlos Santa Cruz |
| 1997 | IWANN | Noise Discrimination and Autoassociative Neural Networks. | Carlos Santa Cruz, Jos R. Dorronsoro, Juan A. Sigenza, Vicente Lpez |
| 1996 | ICANN | A Nonlinear Discriminant Algorithm for Data Projection and Feature Extraction. | Carlos Santa Cruz, Jos R. Dorronsoro |
| 1995 | IWANN | Fast Automatic Architecture Selection on RBF Networks. | Ana M. Gonzlez, Carlos Santa Cruz, Vicente Lpez, Jos R. Dorronsoro |