Mostrando ítems 1-20 de 244

    • Proyecto StreetQR. Dispositivo de asistencia informativa para placas de calle y lugares de interés 

      Ramos-Jimenez, Gonzalo Pascual; Morales-Bueno, Rafael; del Campo-Ávila, José; Matesanz, Andrés (2019-07-30)
      En este trabajo se expone un ejemplo de transferencia de conocimiento desde la universidad hacia la sociedad, dentro del campo de la Inteligencia Artificial, con vista a obtener un encadenamiento productivo universidad-empresa. ...
    • Automatic configuration of NSGA-II with jMetal and irace 

      Nebro-Urbaneja, Antonio Jesus; López-Ibáñez, Manuel; Barba-González, Cristóbal; García-Nieto, José (ACM, 2019)
      jMetal is a Java-based framework for multi-objective optimization with metaheuristics providing, among other features, a wide set of algorithms that are representative of the state-of-the-art. Although it has become a ...
    • Construct, Merge, Solve and Adapt for Taxi Sharing 

      Ben-Smida, Houssem Eddine; Chicano, Francisco; Krichen, Saoussen (2019-07-22)
      Taxis are a quick and reliable mean of transportation, especially in those cities where the public transportation system is very inefficient. However, taxis rarely travel with full capacity, and its impact on traffic ...
    • Local Optima Network Analysis for MAX-SAT 

      Ochoa, Gabriela; Chicano, Francisco (2019-07-22)
      Local Optima Networks (LONs) are a valuable tool to understand fitness landscapes of optimization problems observed from the perspective of a search algorithm. Local optima of the optimization problem are linked by an edge ...
    • Quasi-Optimal Recombination Operator 

      Chicano, Francisco; Ochoa, Gabriela; Whitley, Darrell; Tinós, Renato (2019-07-22)
      The output of an optimal recombination operator for two parent solutions is a solution with the best possible value for the objective function among all the solutions fulfilling the gene transmission property: the value ...
    • Optimization of Convolutional Neural Network ensemble classifiers by Genetic Algorithms 

      Molina-Cabello, Miguel A.; Accino, Cristian; López-Rubio, Ezequiel; Thurnhofer-Hemsi, Karl (Springer, 2019)
      Breast cancer exhibits a high mortality rate and it is the most invasive cancer in women. An analysis from histopathological images could predict this disease. In this way, computational image processing might support this ...
    • Infering Air Quality from Traffic Data using Transferable Neural Network Models 

      Molina-Cabello, Miguel A.; Passow, Benjamin N.; Domínguez-Merino, Enrique; Elizondo, David; Obszynska, Jolanta (Springer, 2019-06)
      This work presents a neural network based model for inferring air quality from traffic measurements. It is important to obtain information on air quality in urban environments in order to meet legislative and policy ...
    • Solving Multi-Objective Hub Location Problems with Robustness 

      Domínguez, Miguel A.; Domínguez-Merino, Enrique; Chicano, Francisco; Luque-Polo, Gabriel Jesús (2019-06-19)
      Hub location problems (HLP) are considered in many logistic, telecommunications, and computer problems, where the design of these networks are optimized based on some objective(s) related to the cost or service. In those ...
    • Analyzing Digital Image by Deep Learning for Melanoma Diagnosis 

      Thurnhofer Hemsi, Karl; Domínguez-Merino, Enrique (2019-06-19)
      Image classi cation is an important task in many medical applications, in order to achieve an adequate diagnostic of di erent le- sions. Melanoma is a frequent kind of skin cancer, which most of them can be detected by ...
    • Coordinación de Dispositivos IoT mediante Web Semántica y Ontologías en Situational-Context 

      Flores-Martin, Daniel; Pérez-Vereda, Alejandro; Berrocal, Javier; Canal-Velasco, Jose Carlos; Murillo, Juan Manuel (2019-06-19)
      El ritmo al que crece Internet de las Cosas (IoT) es imparable. Existen multitud de fabricantes que desarrollan dispositivos IoT, siguiendo sus propias especificaciones y sin atender a un estándar que todavía no existe ...
    • Formalización de una arquitectura de computación móvil basada en Linda 

      Pérez-Vereda, Alejandro; Canal-Velasco, Jose Carlos; Pimentel, Ernesto (2019-06-19)
      Gracias a los avances y el desarrollo que está experimentando el campo de la Internet de las Cosas (Internet of Things, IoT), cada día hay más dispositivos a los que se llama inteligentes. Estos dispositivos disponen de ...
    • Procesamiento de Eventos Complejos para la determinación de rutas en ciudades inteligentes 

      Pérez-Vereda, Alejandro; Bandera, David; Canal-Velasco, Jose Carlos (2019-06-19)
      Una de las principales características de una ciudad inteligente es la publicación de datos abiertos que monitorizan diferentes aspectos de la misma, desde sistemas de movilidad a niveles de polen. Sin embargo, esta ...
    • Deep Learning networks with p-norm loss layers for spatial resolution enhancement of 3D medical images 

      Thurnhofer-Hemsi, Karl; López-Rubio, Ezequiel; Roé-Vellvé, Núria; Molina-Cabello, Miguel A. (2019-06-19)
      Nowadays, obtaining high-quality magnetic resonance (MR) images is a complex problem due to several acquisition factors, but is crucial in order to perform good diagnostics. The enhancement of the resolution is a typical ...
    • A transfer-learning approach to feature extraction from cancer transcriptomes with deep autoencoders 

      López-García, Guillermo; Jerez, José M; Franco, Leonardo; Veredas-Navarro, Francisco Javier (2019-06-18)
      The diagnosis and prognosis of cancer are among the more challenging tasks that oncology medicine deals with. With the main aim of fitting the more appropriate treatments, current personalized medicine focuses on using ...
    • Background modeling by shifted tilings of stacked denoising autoencoders 

      García-González, Jorge; Ortiz-de-lazcano-Lobato, Juan Miguel; Luque-Baena, Rafael Marcos; López-Rubio, Ezequiel (2019-06-18)
      The effective processing of visual data without interruption is currently of supreme importance. For that purpose, the analysis system must adapt to events that may affect the data quality and maintain its performance level ...
    • Dynamically programmable virtual profiles as a service 

      Pérez-Vereda, Alejandro; Canal-Velasco, Jose Carlos (2019-06-17)
      Many devices in our daily environments are being connected to the network, building what has been called the Web of Things. Although these things offer a web interface to interact with, this interaction must be performed ...
    • One step towards dynamically programmable things: an implementation using Beacons 

      Bandera, David; Pérez-Vereda, Alejandro; Canal-Velasco, Jose Carlos; Pimentel, Ernesto (2019-06-17)
      The number of devices connected to the internet is constantly increasing. This large amount of devices can be used to improve people’s interaction with their environment. However, this also implies an increase in the ...
    • Content Based Image Retrieval by Convolutional Neural Networks 

      Hamreras, Safa; Benitez-Rochel, Rafaela; Boucheham, Bachir; Molina-Cabello, Miguel A.; López-Rubio, Ezequiel (2019-06-07)
      In this paper, we present a Convolutional Neural Network (CNN) for feature extraction in Content based Image Retrieval (CBIR). The proposed CNN aims at reducing the semantic gap between low level and high-level features. ...
    • The Current Status of Social Risks on Educational Systems. An Analysis Through Social Media 

      Pelaez-Sanchez, Jose Ignacio; Vaccaro Witt, Gustavo Fabian; Cabrera Lara, Francisco Elias (L. Gómez Chova, A. López Martínez, I. Candel Torres. IATED Academy, 2018-11)
      Social Risk in education such as bullying, are usually invisible to teachers and parents, at all educational levels. However, these risks remain a reality everywhere in the world, turning into a problem that is rapidly ...
    • Gain-Reconfigurable Hybrid Metal-Graphene Printed Yagi Antenna for Energy Harvesting Applications 

      Alex-Amor, Antonio; Palomares-Caballero, Ángel; de la Fuente, Elena; Muriel-Barrado, Alfonso; Valenzuela-Valdés, Juan Francisco; [et al.] (2019-04-26)
      This paper presents a hybrid metal-graphene printed Yagi antenna with reconfigurable gain that operates in the 5.5-GHz band. The balun and the driven elements are made of copper, while the directors are made of graphene. ...