• Some operations preserving primitivity of words 

      Dassow, Jürgen; Martín Reyes, Gema María; Vico-Vela, Francisco Jose (Elsevier, 2009)
      We investigate some operations where essentially, from a given word w, the word ww′ is constructed where w′ is a modified copy of w or a modified mirror image of w. We study whether ww′ is a primitive word provided that w ...
    • A temporal difference method for multi-objective reinforcement learning 

      Ruiz-Montiel, Manuela; Mandow-Andaluz, Lorenzo; Perez-de-la-Cruz-Molina, Jose Luis (2019-10-17)
      This work describes MPQ-learning, an temporal-difference method that approximates the set of all non-dominated policies in multi-objective Markov decision problems, where rewards are vectors and each component stands for ...
    • The component model for elementary landscapes and partial neighborhoods 

      Whitley, L. Darrell; Sutton, Andrew M.; Ochoa, Gabriela; Chicano, Francisco (2014-09-29)
      Local search algorithms exploit moves on an adjacency graph of the search space. An “elementary landscape” exists if the objective function f is an eigenfunction of the Laplacian of the graph induced by the neighborhood ...
    • The software project scheduling problem: A scalability analysis of multi-objective metaheuristics 

      Luna, Francisco; González-Álvarez, David L.; Chicano, Francisco; Vega-Rodríguez, Miguel A. (2014-10-02)
      Computer aided techniques for scheduling software projects are a crucial step in the software development process within the highly competitive software industry. The Software Project Scheduling (SPS) problem relates to ...
    • TITAN: A knowledge-based platform for Big Data workflow management 

      Benítez-Hidalgo, Antonio; Barba-González, Cristóbal; Gutiérrez-Moncayo, Pedro; Paneque, Manuel; Nebro-Urbaneja, Antonio Jesus; [et al.] (ELSEVIER, 2021-11-28)
      Modern applications of Big Data are transcending from being scalable solutions of data processing and analysis, to now provide advanced functionalities with the ability to exploit and understand the underpinning knowledge. ...
    • Using Bayesian networks to improve knowledge assessment 

      Millan-Valldeperas, Eva; Descalço, Luis; Castillo, Gladys; Oliveira, Paula; Diogo, Sandra (Elsevier, 2013-01)
      In this paper, we describe the integration and evaluation of an existing generic Bayesian student model (GBSM) into an existing computerized testing system within the Mathematics Education Project (PmatE - Projecto ...
    • Using machine learning techniques for architectural design tracking: An experimental study of the design of a shelter 

      Millan-Valldeperas, Eva; Belmonte-Martinez, Maria Victoria; Boned Purkiss, Javier; Gavilanes-Velaz-de-Medrano, Juan; Perez-de-la-Cruz, Jose-Luis; [et al.] (Elsevier, 2022-07-22)
      In this paper, we present a study aimed at tracking and analysing the design process. More concretely, we intend to explore whether some elements of the conceptual design stage in architecture might have an influence on ...
    • Using machine learning techniques for architectural design tracking: an experimental study of the design of a shelter 

      Millan-Valldeperas, Eva; Belmonte-Martinez, Maria Victoria; Boned-Purkiss, Francisco Javier; Gavilanes-Velaz-de-Medrano, Juan; Perez-de-la-Cruz-Molina, Jose Luis; [et al.] (Elsevier, 2022)
      In this paper, we present a study aimed at tracking and analysing the design process. More concretely, we intend to explore whether some elements of the conceptual design stage in architecture might have an influence on ...
    • Using SPL to Develop AAL Systems Based on Self-adaptive Agents 

      Amor-Pinilla, Maria Mercedes; Ayala Viñas, Inmaculada; Fuentes-Fernández, Lidia (Springer, 2016-06)
      Abstract One of the most important challenges of this decade is the Internet of Things (IoT) that pursues the integration of real-world objects in Internet. One of the key areas of the IoT is the Ambient Assisted Living ...
    • Vida artificial: en la encrucijada 

      Fernández Rodríguez, Jose David (Universidad de Málaga, 2014-06-13)
      En las últimas décadas, la línea divisoria entre la Biología y las Ciencias de la Computación se ha ido difuminando paulatinamente. Por un lado, una gran cantidad de métodos computacionales (colectivamente conocidos como ...
    • Virtual player design using self-learning via competitive coevolutionary algorithms 

      Nogueira Collazo, Mariela; Cotta, Carlos; Fernández-Leiva, Antonio José (Springer, 2014-06)
      The Google Artificial Intelligence (AI) Challenge is an international contest the objective of which is to program the AI in a two-player real time strategy (RTS) game. This AI is an autonomous computer program that governs ...
    • Walk-IT: An Open-Source Modular Low-Cost Smart Rollator 

      Fernandez-Carmona, Manuel; Ballesteros Gómez, Joaquín; Díaz-Boladeras, María; Parra-Llanas, Xavier; Urdiales, Cristina; [et al.] (IOAP-MPDI, 2022-03-08)
      Rollators are widely used in clinical rehabilitation for gait assessment, but gait analysis usually requires a great deal of expertise and focus from medical staff. Smart rollators can capture gait parameters autonomously ...