• PQ-learning: aprendizaje por refuerzo multiobjetivo 

      Ruiz-Montiel, Manuela; Mandow-Andaluz, Lorenzo; Perez-de-la-Cruz-Molina, Jose Luis (2013-09)
      En este artí culo describimos y analizamos PQ-learning, un algoritmo para problemas de aprendizaje por refuerzo multiobjetivo. El algoritmo es una extensi ón de Q-learning, un algoritmo para problemas de aprendizaje ...
    • Pruning dominated policies in multiobjective Pareto Q-learning 

      Mandow-Andaluz, Lorenzo; Perez-de-la-Cruz-Molina, Jose Luis (2019-10-18)
      The solution for a Multi-Objetive Reinforcement Learning problem is a set of Pareto optimal policies. MPQ-learning is a recent algorithm that approximates the whole set of all Pareto-optimal deterministic policies by ...
    • Robust Off- and Online Separation of Intracellularly Recorded Up and Down Cortical States 

      Seamari, Yamina; Narváez, José Ángel; Vico-Vela, Francisco Jose; Lobo Fernández, Daniel; Sánchez Vives, María Victoria (2007)
      Background. The neuronal cortical network generates slow (<1 Hz) spontaneous rhythmic activity that emerges from the recurrent connectivity. This activity occurs during slow wave sleep or anesthesia and also in cortical ...
    • Search based algorithms for test sequence generation in functional testing 

      Ferrer, Javier; Kruse, Peter M.; Chicano, Francisco; Alba-Torres, Enrique (2014-10-03)
      The generation of dynamic test sequences from a formal specification, complementing traditional testing methods in order to find errors in the source code. Objective In this paper we extend one specific combinatorial ...
    • Selfo: A class of self-organizing connection games 

      Vico-Vela, Francisco Jose (2007)
      Selfo is defined as a class of abstract strategy board games subscribed to the category of connection games. Its name derives from the phenomenon of self-organization (i.e. the increase in a system’s organization without ...
    • SERA: Sistema para la Evaluación y Retroalimentación Automática de Prácticas 

      Agudo-Ruiz, Isaac; Rios-del-Pozo, Ruben; Nieto, Ana (2020-06-10)
      En este artículo presentamos una sistema modular y altamente configurable que permite no sólo la generación y evaluación automática de prácticas de laboratorio sino también proporcionar una retroalimentación instantánea ...
    • 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 ...
    • Software project management with GAs 

      Alba-Torres, Enrique; Chicano, Francisco (2014-10-01)
      A Project Scheduling Problem consists in deciding who does what during the software project lifetime. This is a capital issue in the practice of software engineering, since the total budget and human resources involved ...
    • 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, 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 ...
    • 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 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 ...