• 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 ...
    • Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks 

      García-González, Jorge; Molina Cabello, Miguel Ángel; Luque-Baena, Rafael Marcos; Ortiz-de-lazcano-Lobato, Juan Miguel; López-Rubio, Ezequiel (ELSEVIER, 2021-12)
      Air quality and reduction of emissions in the transport sector are determinant factors in achieving a sustainable global climate. The monitoring of emissions in traffic routes can help to improve route planning and to ...
    • 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 ...
    • SAMGRID: Security Authorization and Monitoring Module Based on SealedGRID Platform 

      Suciu, George; Farao, Aristeidis; Bernardinetti, Giorgio; Palamà, Ivan; Sachian, Mari-Anais; [et al.] (IOAP-MPDI, 2022-08-30)
      IoT devices present an ever-growing domain with multiple applicability. This technology has favored and still favors many areas by creating critical infrastructures that are as profitable as possible. This paper presents ...
    • 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 ...
    • Semantic modelling of Earth Observation remote sensing 

      Aldana Martín, José Francisco; Garcia Nieto, Jose Manuel; Roldan-Garcia, Maria del Mar; Aldana-Montes, Jose Francisco (ELSEVIER, 2022-01)
      Earth Observation (EO) based on Remote Sensing (RS) is gaining importance nowadays, since it offers a well-grounded technological framework for the development of advanced applications in multiple domains, such as climate ...
    • 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, 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 ...