Publicacions en què col·labora amb VICTOR GONZÁLEZ CASTRO (12)

2019

  1. Classifying suspicious content in tor darknet through Semantic Attention Keypoint Filtering

    Digital Investigation, Vol. 30, pp. 12-22

  2. Fusión temprana de descriptores extraídos de mapas de prominencia multi-nivel para clasificar imágenes

    Revista iberoamericana de automática e informática industrial ( RIAI ), Vol. 16, Núm. 3, pp. 358-368

2018

  1. Boosting image classification through semantic attention filtering strategies

    Pattern Recognition Letters, Vol. 112, pp. 176-183

  2. Color Sift Descriptors to Categorize Illegal Activities in Images of Onion Domains

    XXXIX Jornadas de Automática: actas. Badajoz, 5-7 de septiembre de 2018

  3. Illegal activity categorisation in DarkNet based on image classification using CREIC method

    Advances in Intelligent Systems and Computing

2014

  1. Cómo estimar la edad de las personas utilizando imágenes de su rostro

    Cuadernos de la Cátedra Telefónica, Núm. 2, pp. 3-22

  2. Local oriented statistics information booster (LOSIB) for texture classification

    Proceedings - International Conference on Pattern Recognition

2012

  1. A local invariant features approach for classifying acrosome integrity in boar spermatozoa

    Computational Vision and Medical Image Processing, Proceedings of VipIMAGE 2011 - 3rd ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing

  2. Adaptive pattern spectrum image description using euclidean and Geodesic distance without training for texture classification

    IET Computer Vision, Vol. 6, Núm. 6, pp. 581-589

  3. Curvelet-based texture description to classify intact and damaged boar spermatozoa

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

2010

  1. Estimating class proportions in boar semen analysis using the Hellinger distance

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