VICTOR GONZÁLEZ CASTRO-rekin lankidetzan egindako argitalpenak (14)

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

2016

  1. Compass radius estimation for improved image classification using Edge-SIFT

    Neurocomputing, Vol. 197, pp. 119-135

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)

2009

  1. Comparison of supervised and unsupervised methods to classify boar acrosomes using texture descriptors

    Proceedings Elmar - International Symposium Electronics in Marine

2008

  1. Classification and quantification based on image analysis for sperm samples with uncertain damaged/intact cell proportions

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