Square Penalty Support Vector Regression. - Álvaro Barbero Jiménez; Jorge López Lázaro; José R. Dorronsoro (IDEAL, 2007)

An accelerated MDM algorithm for SVM training. - Álvaro Barbero Jiménez; Jorge López Lázaro; José R. Dorronsoro (ESANN, 2008)

Simple Clipping Algorithms for Reduced Convex Hull SVM Training. - Jorge López Lázaro; Álvaro Barbero Jiménez; José R. Dorronsoro (HAIS, 2008)

A 4-Vector MDM Algorithm for Support Vector Training. - Álvaro Barbero Jiménez; Jorge López Lázaro; José R. Dorronsoro (ICANN (1), 2008)

On the Equivalence of the SMO and MDM Algorithms for SVM Training. - Jorge López Lázaro; Álvaro Barbero Jiménez; José R. Dorronsoro (ECML/PKDD (1), 2008)

Finding Optimal Model Parameters by Discrete Grid Search. - Álvaro Barbero Jiménez; Jorge López Lázaro; José R. Dorronsoro (Innovations in Hybrid Intelligent Systems, 2008)

Rosen's projection method for SVM training. - Jorge López Lázaro; José R. Dorronsoro (ESANN, 2009)

A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable Problems. - Jorge López Lázaro; José R. Dorronsoro (ICANN (1), 2009)

Cycle-breaking acceleration of SVM training. - Álvaro Barbero Jiménez; Jorge López Lázaro; José R. Dorronsoro (Neurocomputing, 2009)

Finding optimal model parameters by deterministic and annealed focused grid search. - Álvaro Barbero Jiménez; Jorge López Lázaro; José R. Dorronsoro (Neurocomputing, 2009)

Least 1-Norm SVMs: a new SVM variant between standard and LS-SVMs. - Jorge López Lázaro; José R. Dorronsoro (ESANN, 2010)

A Common Framework for the Convergence of the GSK, MDM and SMO Algorithms. - Jorge López Lázaro; José R. Dorronsoro (ICANN (2), 2010)

An MDM solver for the nearest point problem in Scaled Convex Hulls. - Jorge López Lázaro; Álvaro Barbero Jiménez; José R. Dorronsoro (IJCNN, 2010)

Sparse LS-SVMs with L0 - norm minimization. - Jorge López Lázaro; Kris De Brabanter; José R. Dorronsoro; Johan A. K. Suykens (ESANN, 2011)

Momentum Acceleration of Least-Squares Support Vector Machines. - Jorge López Lázaro; Álvaro Barbero Jiménez; José R. Dorronsoro (ICANN (2), 2011)

Convergence of algorithms for solving the Nearest Point Problem in Reduced Convex Hulls. - Jorge López Lázaro; José R. Dorronsoro (IJCNN, 2011)

First and Second Order SMO Algorithms for LS-SVM Classifiers. - Jorge López Lázaro; Johan A. K. Suykens (Neural Process. Lett., 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)

The convergence rate of the MDM algorithm. - Jorge López Lázaro; José R. Dorronsoro (IJCNN, 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 linearly separable SMO. - Jorge López Lázaro; José R. Dorronsoro (IJCNN, 2013)

Geometric intuition and algorithms for Ev-SVM. - Álvaro Barbero Jiménez; Akiko Takeda; Jorge López Lázaro (J. Mach. Learn. Res., 2015)

Linear convergence rate for the MDM algorithm for the Nearest Point Problem. - Jorge López Lázaro; José R. Dorronsoro (Pattern Recognit., 2015)

Improving cash logistics in bank branches by coupling machine learning and robust optimization. - Jorge López Lázaro; Álvaro Barbero Jiménez; Akiko Takeda (Expert Syst. Appl., 2018)