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    An HMM-based synthetic view generator to improve the efficiency of ensemble systems
    with L. Borrajo and E. L. Iglesias
    Logic Journal of the IGPL 28 (1): 4-18. 2020.
    One of the most active areas of research in semi-supervised learning has been to study methods for constructing good ensembles of classifiers. Ensemble systems are techniques that create multiple models and then combine them to produce improved results. These systems usually produce more accurate solutions than a single model would. Specially, multi-view ensemble systems improve the accuracy of text classification because they optimize the functions to exploit different views of the same input d…Read more
  • Automatic search-changing perceptions or procedures
    with A. Treisman
    Bulletin of the Psychonomic Society 26 (6): 515-515. 1988.