Publicaciones en colaboración con investigadores/as de Universidad de Sevilla (16)

2024

  1. Neuromorphic Technology Insights in Spain

    Proceedings of the IEEE Conference on Nanotechnology

  2. Performance Analysis of CNNs Deployed on Low Power Arquitectures

    Springer Proceedings in Materials (Springer), pp. 590-600

  3. The Iberian Roma Population Variant Server (IRPVS)

    Journal of Genetics and Genomics

2021

  1. Preface

    Studies in Computational Intelligence

2018

  1. Flexible Management of Essential Construction Tasks Using Fuzzy OLAP Cubes

    Fuzzy Hybrid Computing in Construction Engineering and Management: Theory and Applications (Emerald Group Publishing Ltd.), pp. 357-388

2006

  1. Optimizing blind source separation with guided genetic algorithms

    Neurocomputing, Vol. 69, Núm. 13-15, pp. 1442-1457

2004

  1. Blind source separation in post-nonlinear mixtures using competitive learning, simulated annealing, and a genetic algorithm

    IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews, Vol. 34, Núm. 4, pp. 407-416

  2. Characterization of the sources in convolutive mixtures: A cumulant-based approach

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3195, pp. 586-593

  3. Genetic algorithms in Parallel Neural Networks

    Soft Computing with Industrial Applications - Proceedings of the Sixth Biannual World Automation Congress

  4. Geometrical ICA-Based Method for blind separation of super-gaussian signals

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 3195, pp. 350-357

2003

  1. Adaptive and Heuristic Approaches for Nonlinear Source Separation

    Proceedings of the International Joint Conference on Neural Networks

  2. Post-nonlinear blind source separation using methaheuristics

    Electronics Letters, Vol. 39, Núm. 24, pp. 1765-1766

2002

  1. Applying neural networks and genetic algorithms to the separation of sources

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