• A Genetic Algorithm for solving the Discrete Ordered Median Problem with Induced Order 

      Domínguez, Enrique (2017-07-18)
      The Discrete Ordered Median Problem with Induced Ordered (DOMP+IO) is a multi-facility version of the classical discrete ordered median problem (DOMP), which has been widely studied. Several exact methods have been ...
    • Color Space Selection for Self-Organizing Map Based Foreground Detection in Video Sequences 

      López-Rubio, Francisco Javier; López-Rubio, Ezequiel; Luque-Baena, Rafael Marcos; Domínguez, Enrique; Palomo, Esteban J. (2014-07-18)
      The selection of the best color space is a fundamental task in detecting foreground objects on scenes. In many situations, especially on dynamic backgrounds, neither grayscale nor RGB color spaces represent the best solution ...
    • Comparación de marcos de trabajo de Aprendizaje Profundo para la detección de objetos 

      Benito Picazo, Jesús; Thurnhofer Hemsi, Karl; Molina-Cabello, Miguel Angel; Domínguez, Enrique (2018-11-08)
      Muchas aplicaciones en visión por computador necesitan de sistemas de detección precisos y eficientes. Esta demanda coincide con el auge de la aplicación de técnicas de aprendizaje profundo en casi todos las áreas del ...
    • Enhanced transfer learning model by image shifting on a square lattice for skin lesion malignancy assessment 

      Molina Cabello, Miguel A.; Thurnhofer Hemsi, Karl; Maza Quiroga, Rosa María; Domínguez, Enrique; López-Rubio, Ezequiel; [et al.] (2021)
      Skin cancer is one of the most prevalent diseases among people. Physicians have a challenge every time they have to determine whether a diseased skin is benign or malign. There exist clinical diagnosis methods (such as ...
    • Longitudinal study of the learning styles evolution in Engineering degrees 

      Molina-Cabello, Miguel A.; Thurnhofer-Hemsi, Karl; Domínguez, Enrique; López-Rubio, Ezequiel; Palomo, Esteban J. (2021)
      A learning style describes what are the predominant skills for learning tasks. In the context of university education, knowing the learning styles of the students constitutes a great opportunity to improve both teaching ...
    • Neural Controller for PTZ cameras based on nonpanoramic foreground detection 

      Molina-Cabello, Miguel A.; López-Rubio, Ezequiel; Luque-Baena, Rafael Marcos; Domínguez, Enrique; Thurnhofer-Hemsi, Karl (2017-05-29)
      Abstract—In this paper a controller for PTZ cameras based on an unsupervised neural network model is presented. It takes advantage of the foreground mask generated by a nonparametric foreground detection subsystem. Thus, ...
    • Panoramic Background Modeling for PTZ Cameras with Competitive Learning Neural Networks 

      Thurnhofer-Hemsi, Karl; López-Rubio, Ezequiel; Domínguez, Enrique; Luque-Baena, Rafael Marcos; Molina-Cabello, Miguel A. (2017-05-29)
      The construction of a model of the background of a scene still remains as a challenging task in video surveillance systems, in particular for moving cameras. This work presents a novel approach for constructing a panoramic ...
    • Peer assessments in Engineering: A pilot project 

      Thurnhofer-Hemsi, Karl; Molina-Cabello, Miguel A.; Palomo, Esteban J.; López-Rubio, Ezequiel; Domínguez, Enrique (2021)
      The evaluation methods employed in a course are the most important point for the students, above any other learning aspect. For teachers, this task is arduous when the number of students is high. Traditional evaluation ...
    • Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments 

      Molina-Cabello, Miguel Angel; López-Rubio, Ezequiel; Luque-Baena, Rafael Marcos; Domínguez, Enrique; Palomo, Esteban José
      Among current foreground detection algorithms for video sequences, methods based on self-organizing maps are obtaining a greater relevance. In this work we propose a probabilistic self-organising map based model, which ...
    • Skin lesion classification by ensembles of deep convolutional networks and regularly spaced shifting 

      Thurnhofer Hemsi, Karl; López-Rubio, Ezequiel; Domínguez, Enrique; Elizondo, David A. (2021)
      Skin lesions are caused due to multiple factors, like allergies, infections, exposition to the sun, etc. These skin diseases have become a challenge in medical diagnosis due to visual similarities, where image classification ...
    • Solving the quadratic assignment problem by neural networks 

      Domínguez, Enrique (2013-10-30)
      The Quadratic Assignment Problem (QAP) was introduced by Koopmans and Beckmann in 1957 as a mathematical model for the location of a set of indivisible economical activities. This problem consists of allocating a set of ...
    • Vehicle overtaking hazard detection over onboard cameras using deep convolutional networks 

      García González, Jorge; García Aguilar, Iván; Medina, Daniel; Luque-Baena, Rafael M.; López-Rubio, Ezequiel; [et al.] (2022)
      The development of artificial vision systems to support driving has been of great interest in recent years, especially after new learning models based on deep learning. In this work, a framework is proposed for detecting ...