Publicacións en colaboración con investigadores/as de University of Groningen (20)

2022

  1. Camera model identification based on forensic traces extracted from homogeneous patches

    Expert Systems with Applications, Vol. 206

  2. Dataset creation and feature extraction for thedetection of fraudulent websites

    Investigación en Ciberseguridad Actas de las VII Jornadas Nacionales (7º.2022.Bilbao) (Fundación Tecnalia Research and Innovation), pp. 267-268

  3. Evaluation of Supervised Learning Models UsingTCP Traffic for the Detection of Botnets

    Investigación en Ciberseguridad Actas de las VII Jornadas Nacionales (7º.2022.Bilbao) (Fundación Tecnalia Research and Innovation), pp. 259-260

  4. Image hashing based on frequency dominantneighborhood structure

    Investigación en Ciberseguridad Actas de las VII Jornadas Nacionales (7º.2022.Bilbao) (Fundación Tecnalia Research and Innovation), pp. 294-295

  5. Source Camera Device Identification from Videos

    SN Computer Science, Vol. 3, Núm. 4

2021

  1. On Improving Generalization of CNN-Based Image Classification with Delineation Maps Using the CORF Push-Pull Inhibition Operator

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

  2. Video camera identification from sensor pattern noise with a constrained convnet

    ICPRAM 2021 - Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods

2017

  1. Identification of milling inserts in situ based on a versatile machine vision system

    Journal of Manufacturing Systems, Vol. 45, pp. 48-57

  2. Machine-vision-based identification of broken inserts in edge profile milling heads

    Robotics and Computer-Integrated Manufacturing, Vol. 44, pp. 276-283

2015

  1. Cutting edge localisation in an edge profile milling head

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

2013

  1. Assessment of acrosome state in boar spermatozoa heads using n-contours descriptor and RLVQ

    Computer Methods and Programs in Biomedicine, Vol. 111, Núm. 3, pp. 525-536

2007

  1. LVQ acrosome integrity assessment of boar sperm cells

    Proceedings of the International Symposium CompIMAGE 2006 - Computational Modelling of Objects Represented in Images: Fundamentals, Methods and Applications

2005

  1. Classification of boar spermatozoid head images using a model intracellular density distribution

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

  2. Statistical approach to boar semen head classification based on intracellular intensity distribution

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