• Comparing Deep Recurrent Networks Based on the MAE Random Sampling, a First Approach 

      Camero, Andrés; Toutouh, Jamal; Alba, Enrique (2018-11-26)
      Recurrent neural networks have demonstrated to be good at tackling prediction problems, however due to their high sensitivity to hyper-parameter configuration, finding an appropriate network is a tough task. Automatic ...
    • Competición CAEPIA-App: senseUMA 

      Toutouh, Jamal; Alba, Enrique (2018-12-10)
      El Campus de Teatinos de la Universidad de Málaga cubre un área considerable dentro de la cuidad de Málaga (aproximadamente 2 kilómetros 2 ). Por dicho campus cada dı́a transitan miles de personas pertenecientes a la ...
    • Finding Best Compiler Options for Critical Software Using Parallel Algorithms 

      Alba, Enrique; Luque-Polo, Gabriel Jesús (2018-11-21)
      The efficiency of a software piece is a key factor for many systems. Real-time programs, critical software, device drivers, kernel OS functions and many other software pieces which are executed thousands or even millions ...
    • Generación de secuencias de pruebas funcionales con algoritmos bio-inspirados 

      Ferrer, Javier; Kruse, Peter M.; Chicano, Francisco; Alba, Enrique (2015-02-10)
      La generación de secuencias de pruebas dinámicas desde una especificación formal complementa los métodos tradicionales de pruebas para encontrar errores en el código fuente. En este artículo extendemos un enfoque combinatorio ...
    • An Intelligent Advisor for City Traffic Policies 

      Stolfi, Daniel H.; Cintrano López, Christian; Chicano, Francisco; Alba, Enrique (2018-11-26)
      Nowadays, city streets are populated not only by private vehicles but also by public transport, fleets of workers, and deliveries. Since each vehicle class has a maximum cargo capacity, we study in this article how ...
    • Measuring the Quality of Machine Learning and Optimization Frameworks 

      Villalobos, Ignacio; Ferrer, Javier; Alba, Enrique (2018-11-26)
      Software frameworks are daily and extensively used in research, both for fundamental studies and applications. Researchers usually trust in the quality of these frameworks without any evidence that they are correctly build, ...
    • Reduction of the size of datasets by using evolutionary feature selection: the case of noise in a modern city 

      Luque, Javier; Toutouh, Jamal; Alba, Enrique (2018-12-10)
      Smart city initiatives have emerged to mitigate the negative effects of a very fast growth of urban areas. Most of the population in our cities are exposed to high levels of noise that generate discomfort and different ...
    • Running Genetic Algorithms in the Edge: A First Analysis 

      Alba, Enrique; Morell, José Ángel (2018-11-26)
      Nowadays, the volume of data produced by different kinds of devices is continuously growing, making even more difficult to solve the many optimization problems that impact directly on our living quality. For instance, ...
    • Studying Solutions of the p-Median Problem for the Location of Public Bike Stations 

      Cintrano, Christian; Chicano, Francisco; Stützle, Thomas; Alba, Enrique (2018-11-26)
      The use of bicycles as a means of transport is becoming more and more popular today, especially in urban areas, to avoid the disadvantages of individual car traffic. In fact, city managers react to this trend and actively ...
    • Un primer enfoque para medir la calidad de FIWARE 

      Villalobos, Ignacio; Ferrer, Javier; Alba, Enrique (2018-10-15)
      FIWARE es un ecosistema tecnológico abierto que pretendeconvertirse en la plataforma de referencia para los servicios y aplicaciones del Internet del Futuro. Para ello, primero se necesita solventar lasdudas existentes en ...