Publicaciones en las que colabora con Federico Morán Abad (12)

2015

  1. A novel representation of genomic sequences for taxonomic clustering and visualization by means of self-organizing maps

    Bioinformatics, Vol. 31, Núm. 5, pp. 736-744

2007

  1. Clustering and visualizing HIV quasispecies using kohonen's self-organizing maps

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2001

  1. SOMCD: Method for evaluating protein secondary structure from UV circular dichroism spectra

    Proteins: Structure, Function and Genetics, Vol. 42, Núm. 4, pp. 460-470

1999

  1. Designing a simulation model of a self-maintaining cellular system

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

1998

  1. Automatic Classification of Biological Particles from Electron-microscopy Images Using Conventional and Genetic-algorithm Optimized Learning Vector Quantization

    Neural Processing Letters, Vol. 8, Núm. 1, pp. 55-65

1997

  1. A GA-optimized neural network for classification of biological particles from electron-microscopy images

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

1995

  1. Preface

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

1994

  1. Proteinotopic feature maps

    Neurocomputing, Vol. 6, Núm. 4, pp. 443-454

1993

  1. Evaluation of secondary structure of proteins from uv circular dichroism spectra using an unsupervised learning neural network

    Protein Engineering, Design and Selection, Vol. 6, Núm. 4, pp. 383-390

  2. Optimization of a competitive learning neural network by genetic algorithms

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

1991

  1. APPLICATION OF VECTOR QUANTIZATION ALGORITHMS TO PROTEIN CLASSIFICATION AND SECONDARY STRUCTURE COMPUTATION

    ARTIFICIAL NEURAL NETWORKS /

  2. Application of vector quantization algorithms to protein classification and secondary structure computation

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)