• 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 ...
    • Deep Learning to Analyze RNA-Seq Gene Expression Data 

      Urda, Daniel; Montes-Torres, Julio; Moreno, Fernando; Franco, Leonardo; Jerez-Aragonés, José Manuel (Springer, 2017)
      Deep learning models are currently being applied in several areas with great success. However, their application for the analysis of high-throughput sequencing data remains a challenge for the research community due to ...
    • Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras 

      Benito Picazo, Jesús; Domínguez-Merino, Enrique; Palomo, Esteban J.; López-Rubio, Ezequiel; Ortiz-de-lazcano-Lobato, Juan Miguel (IEEE, 2018)
      Automatic video surveillance systems are usually designed to detect anomalous objects being present in a scene or behaving dangerously. In order to perform adequately, they must incorporate models able to achieve accurate ...
    • Desarrollo de un Bot Evolutivo Interactivo para Unreal Tournament 2004 

      Jiménez, José L.; Fernández-Leiva, Antonio J.; Mora, Antonio M. (2015-02-09)
      En este trabajo se ha implementado un algoritmo genético interactivo en un bot para el juego Unreal Tournament 2004, utilizando como base un bot que se definió anteriormente modelando el conocimiento de un jugador experto. ...
    • Desarrollo de un semáforo inteligente basado en comunicaciones seguras 

      Montenegro-Gómez, Manuel; Agudo-Ruiz, Isaac (Universidad de Zaragoza, 2019)
      En los nuevos paradigmas de movilidad surgidos durante los últimos años y en aquellos aún por llegar ha quedado patente la necesidad de modernizar la infraestructura viaria y los elementos de señalización y gestión del ...
    • Descomposición en landscapes elementales del problema de diseño de redes de radio con aplicaciones 

      Chicano, Francisco; Arito, Franco; Alba-Torres, Enrique (2015-02-10)
      En este trabajo se presenta la descomposición en landscapes elementales de un problema de optimización combinatoria: el problema de Diseño de Redes de Radio. La teoría de landscapes provee un marco formal en el cual un ...
    • Dos estrategias de búsqueda anytime basadas en programación lineal entera para resolver el problema de selección de requisitos 

      Chicano, Francisco; Domínguez, Miguel Ángel; Del Águila, Isabel María; Del Sagrado, José; Alba-Torres, Enrique (2016-09-19)
      El problema de selección de requisitos (o Next Release Problem, NRP) consiste en seleccionar el subconjunto de requisitos que se va a desarrollar en la siguiente versión de una aplicación software. Esta selección se debe ...
    • 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 ...
    • Dynastic potential crossover operator 

      Chicano, Francisco (2019-10-28)
      An optimal recombination operator provides an optimal solution fulfilling the gene transmission property: the value of any variable in the offspring must be inherited from one of the parents. In the case of binary variables, ...
    • Efficient Hill Climber for Constrained Pseudo-Boolean Optimization Problems 

      Chicano, Francisco; Whitley, Darrell; Tinós, Renato (2016-09-09)
      Efficient hill climbers have been recently proposed for single- and multi-objective pseudo-Boolean optimization problems. For $k$-bounded pseudo-Boolean functions where each variable appears in at most a constant number ...
    • Efficient identification of improving moves in a ball for Pseudo-Boolean problems 

      Chicano, Francisco; Darrell, Whitley; Andrew M., Sutton (2014-06-27)
      Hill climbing algorithms are at the core of many approaches to solve optimization problems. Such algorithms usually require the complete enumeration of a neighborhood of the current solution. In the case of problems defined ...
    • Elementary Landscape Decomposition of the Hamiltonian Path Optimization Problem 

      Whitley, Darrell; Chicano, Francisco (2014-04-04)
      There exist local search landscapes where the evaluation function is an eigenfunction of the graph Laplacian that corresponds to the neighborhood structure of the search space. Problems that dis- play this structure are ...
    • Elementary Landscape Decomposition of the Test Suite Minimization Problem 

      Chicano, Francisco; Ferrer, Javier; Alba-Torres, Enrique (2015-09-07)
      Landscape theory provides a formal framework in which combinatorial optimization problems can be theoretically characterized as a sum of a special kind of landscape called elementary landscape. The decomposition of the ...
    • Employing Classifying Terms for Testing Model Transformations 

      Gogolla, Martin; Vallecillo, Antonio; Burgueño, Loli; Hilken, Frank (2015-07-29)
      This contribution proposes a new technique for developing test cases for UML and OCL models. The technique is based on an approach that automatically constructs object models for class models enriched by OCL constraints. ...
    • Enabling Low Cost Smart Road Traffic Sensing 

      Toutouh, Jamal; Arellano-Verdejo, Javier; Alba-Torres, Enrique (Universitat Pompeu Fabra, 2017)
      Accurate traffic monitoring is a key aspect to develop Smart Mobility services. A road traffic monitoring system based on a network of sensors capturing together information from wireless interfaces of the devices inside ...
    • Energy efficient assignment and deployment of tasks in structurally variable infrastructures 

      Cañete, Ángel (2019-10-04)
      The importance of cyber-physical systems is growing very fast, being part of the Internet of Things vision. These devices generate data that could collapse the network and can not be assumed by the cloud. New technologies ...
    • Enhancing Parallel Cooperative Trajectory Based Metaheuristics with Path Relinking 

      Gabriel, Luque; Enrique, Alba (2014-07-08)
      This paper proposes a novel algorithm combining path relinking with a set of cooperating trajectory based parallel algorithms to yield a new metaheuristic of enhanced search features. Algorithms based on the exploration ...
    • Enhancing partition crossover with articulation points analysis 

      Chicano, Francisco; Ochoa, Gabriela; Whitley, Darrell; Tinós, Renato (2018-07-25)
      Partition Crossover is a recombination operator for pseudo-Boolean optimization with the ability to explore an exponential number of solutions in linear or square time. It decomposes the objective function as a sum of ...
    • Enhancing security and dependability of industrial networks with opinion dynamics 

      Rubio, Juan E.; López-Muñoz, Francisco Javier; Manulis, Mark; Alcaraz, Cristina (2019-10-04)
      Opinion Dynamics poses a novel technique to accurately locate the patterns of an advanced attack against an industrial infrastructure, compared to traditional intrusion detection systems. This distributed solution provides ...
    • Enhancing semantic consistency in anti-fraud rule-based expert systems 

      Roldán-García, María del Mar; García-Nieto, José; Aldana-Montes, José F. (2018-10-29)
      En este estudio, se propone un servicio guiado por ontología para la detección y clasificación de problemas de incoherencia semántica en sistemas expertos con bases de reglas de decisión. Se centra en el caso crítico de ...