• A Survey on Artificial Intelligence Techniques for Biomedical Image Analysis in Skeleton-Based Forensic Human Identification 

      Mesejo, Pablo; Martos, Rubén; Ibáñez, Oscar; Novo Buján, Jorge; Ortega Hortas, Marcos (M D P I AG, 2002-07-08)
      [Abstract] This paper represents the first survey on the application of AI techniques for the analysis of biomedical images with forensic human identification purposes. Human identification is of great relevance in today’s ...
    • Alternatives for Locating People Using Cameras and Embedded AI Accelerators: A Practical Approach 

      Carro Lagoa, Ángel; Barral Vales, Valentín; González-López, Miguel; Escudero, Carlos J.; Castedo, Luis (MDPI, 2021)
      [Abstract] Indoor positioning systems usually rely on RF-based devices that should be carried by the targets, which is non-viable in certain use cases. Recent advances in AI have increased the reliability of person detection ...
    • An expert system based on computer vision and statistical modelling to support the analysis of collagen degradation 

      Robles-Bykbaev, Yaroslava; Naya, Salvador; Díaz-Prado, Silvia; Calle-López, Daniel; Robles-Bykbaev, Vladimir; Garzón-Muñoz, Luis; Sanjurjo-Rodríguez, Clara; Tarrío-Saavedra, Javier (IntechOpen, 2018)
      [Abstract] The poly(DL-lactide-co-glycolide) (PDLGA) copolymers have been specifically designed and performed as biomaterials, taking into account their biodegradability and biocompatibility properties. One of the ...
    • Competición de robótica submarina máster MIR: experiencia educacional 

      López Barajas, Salvador; Fornas, Sergio; Solís, Alejandro; Marín, Raúl; Marxer, R.; Hugel, Vincent; Sanz, Pedro J. (Universidade da Coruña. Servizo de Publicacións, 2023)
      [Resumen] En este artículo se describe la nueva competición de robótica submarina del Máster Europeo “Erasmus Mundus MIR” (Marine & Maritime Intelligent Robotics), la cual se ha iniciado en el año 2023 en dos fases. La ...
    • Data Extraction in Insurance Photo-Inspections Using Computer Vision 

      Gende, M.; Ortega Hortas, Marcos; Penedo, Manuel (MDPI AG, 2020-08-21)
      [Abstract] Recent advances in computer vision and artificial intelligence allow for a better processing of complex information in many fields of human activity. One such field is vehicle expertise and inspection. This ...
    • Detection of reactions to sound via gaze and global eye motion analysis using camera streaming 

      Fernández Arias, Alba; Ortega Hortas, Marcos; Moura, Joaquim de; Novo Buján, Jorge; Penedo, Manuel (Springer, 2018-06)
      [Abstract]: This work is focused on the field of automatic hearing assessment for patients presenting cognitive decline or severe communication difficulties. Audiometry is a test of behavior requiring intense interaction ...
    • Dynamical Study of a Moored Vessel Using Computer Vision 

      Figuero, A.; Rodríguez, Álvaro; Peña González, Enrique; Sande, José; Rabuñal, Juan R. (Springer, 2018)
      [Abstract]: Wind and wave effects have a major impact on the design of mooring and anchoring systems, whose purpose is to prevent the movement of the cargo and the moored ship while optimizing the operations which have to ...
    • Feature Selection in Big Image Datasets 

      Figueira-Domínguez, J. Guzmán; Bolón-Canedo, Verónica; Remeseiro, Beatriz (MDPI AG, 2020-08-24)
      [Abstract] In computer vision, current feature extraction techniques generate high dimensional data. Both convolutional neural networks and traditional approaches like keypoint detectors are used as extractors of high-level ...
    • Multi-Adaptive Optimization for multi-task learning with deep neural networks 

      Hervella, Álvaro S.; Rouco, J.; Novo Buján, Jorge; Ortega Hortas, Marcos (Elsevier B.V., 2024-02)
      [Abstract]: Multi-task learning is a promising paradigm to leverage task interrelations during the training of deep neural networks. A key challenge in the training of multi-task networks is to adequately balance the ...
    • Towards Automatic Image Enhancement with Genetic Programming and Machine Learning 

      Correia, Joao; Rodríguez-Fernández, Nereida; Vieira, Leonardo; Romero, Juan; Machado, Penousal (MDPI, 2022)
      [Abstract] Image Enhancement (IE) is an image processing procedure in which the image’s original information is improved, highlighting specific features to ease post-processing analyses by a human or machine. State-of-the-art ...