Competitive stochastic neural networks for Vector Quantization of images. - Manuel Graña; Alicia D'Anjou; Ana Isabel González; F. Xabier Albizuri; Marie Cottrell (Neurocomputing, 1995)

An analysis of the GLVQ algorithm. - Ana Isabel González; Manuel Graña; Alicia D'Anjou (IEEE Trans. Neural Networks, 1995)

Self organizing map for adaptive non-stationary clustering: some experimental results on color quantization of image sequences. - Ana Isabel González; Manuel Graña; Alicia D'Anjou; F. Xabier Albizuri; Marie Cottrell (ESANN, 1997)

Experimental Results of a Michigan-like Evolution Strategy for Non-stationary Clustering. - Ana Isabel González; Manuel Graña; José Antonio Lozano 001; Pedro Larrañaga (ICANNGA, 1997)

Competitive neural networks as adaptive algorithms for nonstationary clustering: experimental results on the color quantization of image sequences. - Ana Isabel González; Manuel Graña (ICNN, 1997)

Experiments of Fast Learning with High Order Boltzmann Machines. - Manuel Graña; Alicia D'Anjou; F. Xabier Albizuri; M. C. Hernández 001; Francisco Javier Torrealdea; A. de la Hera; Ana Isabel González (Appl. Intell., 1997)

A Sensitivity Analysis of the Self Organizing Maps as an Adaptive One-pass Non-stationary Clustering Algorithm: the Case of Color Quantization of Image Sequences. - Ana Isabel González; Manuel Graña; Alicia D'Anjou; F. Xabier Albizuri; Marie Cottrell (Neural Process. Lett., 1997)

Una estrategia evolutiva para clustering no estacionario. - Ana Isabel González; Manuel Graña (Inteligencia Artif., 1998)

A Comparison of Experimental Results with an Evolution Strategy and Competitive Neural Networks for Near Real-Time Color Quantization of Image Sequences. - Ana Isabel González; Manuel Graña; Alicia D'Anjou; F. Xabier Albizuri; Francisco Javier Torrealdea (Appl. Intell., 1998)

Bayesian VQ Image Filtering Design with Fast Adaption Competitive Neural Networks. - Ana Isabel González; Manuel Graña; Imanol Echave; Jesús Ruiz-Cabello (IWANN (2), 1999)

Basic Competitive Neural Networks as Adaptive Mechanisms for Non-Stationary Colour Quantisation. - Ana Isabel González; Manuel Graña; Marie Cottrell (Neural Comput. Appl., 1999)

Neural learning for distributions on categorical data. - F. Xabier Albizuri; Ana Isabel González; Manuel Graña; Alicia D'Anjou (Neurocomputing, 2000)

A Near Real-Time Evolution-Based Adaptation Strategy for Dynamic Color Quantization of Image Sequences. - Ana Isabel González; Manuel Graña; F. Xabier Albizuri; Alicia D'Anjou; Francisco Javier Torrealdea (Inf. Sci., 2000)

Experimental results of an evolution-based adaptation strategy for VQ image filtering. - Ana Isabel González; Manuel Graña; Jesús Ruiz-Cabello; Alicia D'Anjou; F. Xabier Albizuri (Inf. Sci., 2001)

SOM and Neural Gas as Graduated Nonconvexity Algorithms. - Ana Isabel González; Alicia D'Anjou; M. Teresa García-Sebastián; Manuel Graña (ICCSA (3), 2006)

Convergence of SOM and NG as GNC algorithms. - Ana Isabel González; Alicia D'Anjou; Manuel Graña (IJCNN, 2006)

Derivation of SOM-Like Rules for Intensity Inhomogeneity Correction in MRI. - Maite García-Sebastián; Ana Isabel González; Manuel Graña (IWANN, 2007)

An adaptive field rule for non-parametric MRI intensity inhomogeneity estimation algorithm. - Maite García-Sebastián; Ana Isabel González; Manuel Graña (Neurocomputing, 2009)

Towards Relevance Dendritic Computing. - Manuel Graña; Ana Isabel González-Acuna (NaBIC, 2011)

A Pruning Algorithm for Stable Voronoi Skeletons. - Andoni Beristain; Manuel Graña; Ana Isabel González (J. Math. Imaging Vis., 2012)

Learning parsimonious dendritic classifiers. - Manuel Graña; Ana Isabel González-Acuna (Neurocomputing, 2013)

Special issue: Selected papers of KES2012 - Part 1 of 2. - Manuel Graña; Ana Isabel González-Acuna; Cecilia Zanni-Merk (Int. J. Knowl. Based Intell. Eng. Syst., 2013)

Special issue: Selected papers of KES2012 - Part 2 of 2. - Manuel Graña; Ana Isabel González-Acuna; Cecilia Zanni-Merk (Int. J. Knowl. Based Intell. Eng. Syst., 2013)