Now showing items 1-10 of 10

    • Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications 

      Górriz, Juan M.; Ramírez, Javier; Ortíz, Andrés; Martínez Murcia, Francisco J.; Segovia, Fermin; Suckling, John; Leming, Matthew; Zhang, Yu-Dong; Álvarez Sánchez, Ramón; Bologna, Guido; Bonomini, Paula; Estévez Casado, Fernando; Charte, David; Charte, Francisco; Contreras, Ricardo; Cuesta Infante, Alfredo; Duro, Richard J.; Fernández Caballero, Antonio; Fernández Jover, Eduardo; Gómez Vilda, Pedro; Graña, Manuel; Herrera, Francisco; Iglesias Rodríguez, Roberto; Lekova, Anna; Lope, Javier de; López Rubio, Ezequiel; Martínez Tomás, Rafael; Molina Cabello, Miguel A.; Montemayor, Antonio S.; Novais, Paulo; Palacios Alonso, Daniel; Pantrigo, Juan J.; Payne, Bryson R.; Paz López, Félix de la; Pinninghoff, María Angélica; Rincón, Mariano; Santos, José; Thurnhofer Hemsi, Karl; Tsanas, Athanasios; Varela, Ramiro; Ferrández, Jose M. (Elsevier, 2020)
      Artificial intelligence and all its supporting tools, e.g. machine and deep learning in computational intelligence-based systems, are rebuilding our society (economy, education, life-style, etc.) and promising a new era ...
    • Automated description of the mandible shape by deep learning 

      Vila Blanco, Nicolás; Varas Quintana, Paulina; Aneiros Ardao, Ángela; Tomás Carmona, Inmaculada; Carreira Nouche, María José (Springer, 2021)
      Purpose: The shape of the mandible has been analyzed in a variety of fields, whether to diagnose conditions like osteoporosis or osteomyelitis, in forensics, to estimate biological information such as age, gender, and race ...
    • Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic 

      El Rashidy, Nora; Abdelrazek, Samir; Abuhmed, Tamer; Amer, Eslam; Ali, Farman; Hu, Jon Wan; El-Sappagh, Shaker (MDPI, 2021)
      Since December 2019, the global health population has faced the rapid spreading of coronavirus disease (COVID-19). With the incremental acceleration of the number of infected cases, the World Health Organization (WHO) has ...
    • Deep Neural Networks for Chronological Age Estimation From OPG Images 

      Vila Blanco, Nicolás; Carreira Nouche, María José; Varas Quintana, Paulina; Balsa Castro, Carlos; Tomás Carmona, Inmaculada (IEEE, 2020)
      Chronological age estimation is crucial labour in many clinical procedures, where the teeth have proven to be one of the best estimators. Although some methods to estimate the age from tooth measurements in orthopantomogram ...
    • Dual-Window Superpixel Data Augmentation for Hyperspectral Image Classification 

      Acción Montes, Álvaro; Argüello Pedreira, Francisco Santiago; Blanco Heras, Dora (MDPI, 2020)
      Deep learning (DL) has been shown to obtain superior results for classification tasks in the field of remote sensing hyperspectral imaging. Superpixel-based techniques can be applied to DL, significantly decreasing training ...
    • Sparse matrix classification on imbalanced datasets using convolutional neural networks 

      Pichel Campos, Juan Carlos; Pateiro López, Beatriz (IEEE, 2019)
      This paper deals with the class imbalance problem in the context of the automatic selection of the best storage format for a sparse matrix with the aim of maximizing the performance of the sparse matrix vector multiplication ...
    • STDnet: Exploiting high resolution feature maps for small object detection 

      Bosquet Mera, Brais; Mucientes Molina, Manuel Felipe; Brea Sánchez, Víctor Manuel (Elsevier, 2020)
      The accuracy of small object detection with convolutional neural networks (ConvNets) lags behind that of larger objects. This can be observed in popular contests like MS COCO. This is in part caused by the lack of specific ...
    • Tracking more than 100 arbitrary objects at 25 FPS through deep learning 

      Vaquero Otal, Lorenzo; Brea Sánchez, Víctor Manuel; Mucientes Molina, Manuel Felipe (Elsevier, 2022)
      Most video analytics applications rely on object detectors to localize objects in frames. However, when real-time is a requirement, running the detector at all the frames is usually not possible. This is somewhat circumvented ...
    • Using graph theory and social media data to assess cultural ecosystem services in coastal areas: Method development and application 

      Ruiz Frau, Ana; Ospina Álvarez, Andrés; Villasante Larramendi, Carlos Sebastián; Pita Orduna, Pablo; Maya Jariego, Isidro; Juan, Silvia de (Elsevier, 2020)
      The use of social media (SM) data has emerged as a promising tool for the assessment of cultural ecosystem services (CES). Most studies have focused on the use of single SM platforms and on the analysis of photo content ...
    • XAS: Automatic yet eXplainable Age and Sex determination by combining imprecise per-tooth predictions 

      Vila Blanco, Nicolás; Varas Quintana, Paulina; Aneiros Ardao, Ángela; Tomás Carmona, Inmaculada; Carreira Nouche, María José (Elsevier, 2022)
      Chronological age and biological sex estimation are two key tasks in a variety of procedures, including human identification and migration control. Issues such as these have led to the development of both semiautomatic and ...





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