Envíos recientes

  • 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 ...
  • Ensemble ellipse fitting by spatial median consensus 

    Thurnhofer Hemsi, Karl; López Rubio, Ezequiel; Blázquez Parra, Elidia Beatriz; Ladrón de Guevara Muñoz, María Carmen; De Cózar Macías, Óscar David (2021)
    Ellipses are among the most frequently used geometric models in visual pattern recognition and digital image analysis. This work aims to combine the outputs of an ensemble of ellipse fitting methods, so that the deleterious ...
  • Kafka-ML: Connecting the data stream with ML/AI frameworks 

    Martín Fernández, Cristian; Langendoerfer, Peter; Soltani Zarrin, Pouya; Díaz-Rodríguez, Manuel; Rubio-Muñoz, Bartolome (Elsevier, 2022-01-01)
    Machine Learning (ML) and Artificial Intelligence (AI) depend on data sources to train, improve, and make predictions through their algorithms. With the digital revolution and current paradigms like the Internet of Things, ...
  • An open source framework based on Kafka-ML for Distributed DNN inference over the Cloud-to-Things continuum 

    Torres, Daniel R.; Martín, Cristian; Díaz, Manuel; Rubio-Muñoz, Bartolome (Elsevier, 2021-06-16)
    The current dependency of Artificial Intelligence (AI) systems on Cloud computing implies higher transmission latency and bandwidth consumption. Moreover, it challenges the real-time monitoring of physical objects, e.g., ...
  • 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 ...
  • Adaptive music: Automated music composition and distribution 

    Albarracín Molina, David Daniel (2016)
    Creativity, or the ability to produce new useful ideas, is commonly associated to the human being; but there are many other examples in nature where this phenomenon can be observed. Inspired by this fact, in engineering, ...
  • The NISPI framework: Analysing collaborative problem-solving from students' physical interactions 

    Cukurova, Mutlu; Luckin, Rose; Millan-Valldeperas, Eva; Mavrikis, Manolis (2019-10-21)
    Collaborative problem-solving (CPS) is a fundamental skill for success in modern societies, and part of many common constructivist teaching approaches. However, its effective implementation and evaluation in both digital ...
  • 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 ...
  • 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 ...
  • Efficient anytime algorithms to solve the bi-objective Next Release Problem 

    Domínguez-Ríos, Miguel Ángel; Chicano, Francisco; Alba-Torres, Enrique; del Águila, Isabel; del Sagrado, José (2019-06-27)
    The Next Release Problem consists in selecting a subset of requirements to develop in the next release of a software product. The selection should be done in a way that maximizes the satisfaction of the stakeholders while ...
  • Big Data Optimization: Framework Algorítmico para el análisis de Datos guiado por Semántica 

    Barba Gonzalez, Critobal; Aldana-Montes, Jose Francisco; García-Nieto, José (2018-11-05)
    En las últimas décadas el aumento de fuentes de información en diferentes campos de la sociedad desde la salud hasta las redes sociales, ha puesto de manifiesto la necesidad de nuevas técnicas para su análisis, lo que se ...
  • Multiresolution Layered Manufacturing 

    Fernández Rodríguez, Jose David; De Coninck, Joël (Emerald Publishing, 2018)
    PURPOSE: Two-photon polymerization (TPP) has become one of the most popular techniques for stereolithography at very high resolutions. When printing relatively large structures at high resolutions, one of the main limiting ...
  • 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 ...
  • 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 ...
  • Fitness function distributions over generalized search neighborhoods in the q-ary hypercube 

    Sutton, Andrew M.; Chicano, Francisco; Whitley, L. Darrell (2014-10-03)
    The frequency distribution of a fitness function over regions of its domain is an important quantity for understanding the behavior of algorithms that employ randomized sampling to search the function. In general, exactly ...
  • A methodology to find the elementary landscape decomposition of combinatorial optimization problems 

    Chicano, Francisco; Whitley, L. Darrell; Alba-Torres, Enrique (2014-10-03)
    A small number of combinatorial optimization problems have search spaces that correspond to elementary landscapes, where the objective function f is an eigenfunction of the Laplacian that describes the neighborhood structure ...
  • Evolutionary algorithms for the multi-objective test data generation problem 

    Ferrer, Javier; Chicano, Francisco; Alba-Torres, Enrique (2014-10-03)
    Automatic test data generation is a very popular domain in the field of search-based software engineering. Traditionally, the main goal has been to maximize coverage. However, other objectives can be defined, such as the ...
  • 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 ...
  • Elementary landscape decomposition of the 0-1 unconstrained quadratic optimization 

    Chicano, Francisco; Alba-Torres, Enrique (2014-10-01)
    Landscapes’ theory provides a formal framework in which combinatorial optimization problems can be theoretically characterized as a sum of an especial kind of landscape called elementary landscape. The elementary landscape ...
  • Observations in using parallel and sequential evolutionary algorithms for automatic software testing 

    Alba-Torres, Enrique; Chicano, Francisco (2014-10-01)
    In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatically creating a set of input data to test a ...

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