Publicaciones en las que colabora con Colin Fyfe (49)

2011

  1. International Journal on Artificial Intelligence Tools: Guest Editorial

    International Journal on Artificial Intelligence Tools

2010

  1. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

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

2007

  1. Nonlinear boosting projections for ensemble construction

    Journal of Machine Learning Research, Vol. 8, pp. 1-33

  2. Visualizing multi dimensional data

    Successes and New Directions in Data Mining (IGI Global), pp. 236-276

2006

  1. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

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

2005

  1. Regaining sparsity in kernel principal components

    Neurocomputing, Vol. 67, Núm. 1-4 SUPPL., pp. 398-402

  2. The combined use of self-organizing maps and Andrews' Curves

    International Journal of Neural Systems, Vol. 15, Núm. 3, pp. 197-206

  3. Visualization of high-dimensional data via orthogonal curves

    Journal of Universal Computer Science, Vol. 11, Núm. 11, pp. 1806-1819

2004

  1. A Connectionist Knowledge Management Model

    3rd International workshop on practical applications of agents and multiagent systems: IWPAAMS 2004

  2. A Kernel method for classification

    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

  3. A cooperative unsupervised architecture to develop a business management model

    Tendencias de la minería de datos en España: Red Española de Minería de Datos y Aprendizaje (TIC2002-11124-E) (Raúl Giráldez), pp. 253-261

  4. An extension of grand tour methods based on Andrews curves

    Proceedings of the Fourth IASTED International Conference on Visualization, Imaging, and Image Processing

  5. Analysing spectroscopic data using hierarchical cooperative maximum likelihood hebbian learning

    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

  6. Comparing Exploatory Projection Pursuit Artificial Neural Networks

    3rd International workshop on practical applications of agents and multiagent systems: IWPAAMS 2004

  7. Development of a global and integral model of business management using an unsupervised model

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3177, pp. 499-504

  8. Forecasting using twinned principal curves and twinned self-organising maps

    Neurocomputing, Vol. 57, Núm. 1-4, pp. 37-47

  9. Initialising self-organising maps

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2690, pp. 161-168

  10. Internet agents who structure concept formation using kernel self-organising maps

    International Journal of Web Engineering and Technology, Vol. 1, Núm. 4, pp. 427-436

  11. Kernel Maximum Likelihood Hebbian learning

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3037, pp. 650-653

  12. Kernel Self-Organizing Map for Information Retrieval

    NTIT : New trends on information technology (Departamento de Informática), pp. 133-143