Publicacións en colaboración con investigadores/as de Universidade da Coruña (101)

2023

  1. S2 -LOR: Supervised Stream Learning for Object Recognition

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

  2. Characterizing zebra crossing zones using LiDAR data

    Computer-Aided Civil and Infrastructure Engineering, Vol. 38, Núm. 13, pp. 1767-1788

  3. Implementation of a motion estimation algorithm for Intel FPGAs using OpenCL

    Journal of Supercomputing, Vol. 79, Núm. 9, pp. 9866-9888

2022

  1. Incremental Learning from Low-labelled Stream Data in Open-Set Video Face Recognition

    Pattern Recognition, Vol. 131

2021

  1. Clasificación y caracterización de elementos del recorrido peatonal en un entorno urbano mediante datos LIDAR

    R-evolucionando el transporte [Recurso electrónico]: XIV Congreso de Ingeniería del Transporte. Universidad de Burgos 6, 7 y 8 de julio 2021

  2. Towards a self-sufficient face verification system

    Expert Systems with Applications, Vol. 174

2020

  1. An adaptive video-to-video face identification system based on self-training

    Proceedings - International Conference on Pattern Recognition

2019

  1. Dataset bias exposed in face verification

    IET Biometrics, Vol. 8, Núm. 4, pp. 249-258

  2. Incremental Learning Techniques Within a Self-updating Approach for Face Verification in Video-Surveillance

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

2018

  1. Automatic selection of user samples for a non-collaborative face verification system

    Advances in Intelligent Systems and Computing (Springer Verlag), pp. 555-566

  2. Machine Learning Applied to Optometry Data

    Intelligent Systems Reference Library (Springer Science and Business Media Deutschland GmbH), pp. 123-160

  3. Precise segmentation of the bulbar conjunctiva for hyperaemia images

    Pattern Analysis and Applications, Vol. 21, Núm. 2, pp. 563-577

2017

  1. On the analysis of local and global features for hyperemia grading

    Proceedings of SPIE - The International Society for Optical Engineering

2016

  1. CASDES: A Computer-Aided System to Support Dry Eye Diagnosis Based on Tear Film Maps

    IEEE Journal of Biomedical and Health Informatics, Vol. 20, Núm. 3, pp. 936-943

  2. Comparing machine learning techniques in a hyperemia grading framework

    ICAART 2016 - Proceedings of the 8th International Conference on Agents and Artificial Intelligence

  3. On the analysis of feature selection techniques in a conjunctival hyperemia grading framework

    ESANN 2016 - 24th European Symposium on Artificial Neural Networks

  4. On the development of conjunctival hyperemia computer-assisted diagnosis tools: Influence of feature selection and class imbalance in automatic gradings

    Artificial Intelligence in Medicine, Vol. 71, pp. 30-42

2015

  1. Automatic grading system for human tear films

    Pattern Analysis and Applications, Vol. 18, Núm. 3, pp. 677-694

  2. Automatic selection of video frames for hyperemia grading

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

  3. Pyramid representations of the set of actions in reinforcement learning

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