• What Evolutionary Biologists Can Learn from Artificial Life 

  Elena Fito, Santiago (2019-04-11)

  Big questions in Evolutionary Biology and experimental limitations - The evolution of complex traits. - The role of neutral variation in adaptive evolution. - Selection for fitness vs selection for robustness. - The ...

• De la Información al Conocimiento. Aplicaciones basadas en implicaciones y computación paralela. 

  Benito Picazo, Fernando (UMA Editorial, 2018-11-30)

  La gestión de la información es uno de los pilares esenciales de la Ingeniería Informática. Esta tesis doctoral toma como principal base teórica el Análisis Formal de Conceptos (FCA, por sus siglas en inglés: Formal ...

• Phase Shifter for Millimeter-Wave Frequency Range Based on Glide Symmetric Structures 

  Palomares-Caballero, Ángel; Alex-Amor, Antonio; Valenzuela-Valdés, Juan; Luna, Francisco; Padilla, Pablo (2019-03-13)

  The use of glide symmetry in radiofrequency devices to introduce dispersive effects has been recently proposed and demonstrated. One of these effects is to control the propagation constant of the structure. Here, we propose ...

• Optimizing mobile applications by exploiting variability models at runtime 

  García Pascual, Gustavo (UMA Editorial, 2018-11-30)

  Los teléfonos móviles inteligentes son una herramienta indispensable en nuestra vida cotidiana. Son dispositivos con los que podemos ejecutar aplicaciones y tareas complejas en cualquier lugar y en cualquier momento. Estas ...

• A Security Pattern for Cloud service certification 

  Muñoz-Gallego, Antonio Jesús; López, Javier (2019-02-22)

  Cloud computing is interesting from the economic, operational and even energy consumption perspectives but it still raises concerns regarding the security, privacy, governance and compliance of the data and software ...

• IntegraDos: facilitating the adoption of the Internet of Things through the integration of technologies 

  Martín Fernández, Cristian (UMA Editorial, 2018-11-14)

  El Internet de las Cosas (IoT) fue un nuevo concepto introducido por K. Asthon en 1999 para referirse a un conjunto identificable de objetos conectados a través de RFID. Actualmente, el IoT se caracteriza por ser una ...

• Segmentación y detección de objetos en imágenes y vídeo mediante inteligencia computacional 

  Molina Cabello, Miguel Ángel (UMA Editorial, 2018-11-09)

  La presente tesis trata sobre el procesamiento y análisis de imágenes y video mediante sistemas informáticos. Primeramente se hace una introducción, especificando contexto, objetivos y metodología. Luego se muestran los ...

• Bio-inspired Computing and Smart Mobility 

  Stolfi Rosso, Daniel Hector (UMA Editorial, 2018-09)

  Esta tesis doctoral propone soluciones a problemas de movilidad inteligente, concretamente la reducción de los tiempos de viajes en las vías urbanas, las emisiones de gases de efecto invernadero y el consumo de combustible, ...

• Big Data Optimization : Algorithmic Framework for Data Analysis Guided by Semantics 

  Barba González, Cristóbal (UMA Editorial, 2018-10-30)

  Over the past decade the rapid rise of creating data in all domains of knowledge such as traffic, medicine, social network, industry, etc., has highlighted the need for enhancing the process of analyzing large data volumes, ...

• Application of Semantics to Solve Problems in Life Sciences 

  Garcia Godoy, Maria Jesus (UMA Editorial, 2018)

  La cantidad de información que se genera en la Web se ha incrementado en los últimos años. La mayor parte de esta información se encuentra accesible en texto, siendo el ser humano el principal usuario de la Web. Sin embargo, ...

• WeaFQAs: A Software Product Line Approach for Customizing and Weaving Efficient Functional Quality Attributes 

  Horcas Aguilera, Jose Miguel (UMA Editorial, 2018-06)

  Los atributos de calidad funcionales (FQA) son aquellos que tienen una clara implicación en la funcionalidad del sistema, es decir, existen unos componentes específicos que deben ser incorporados a la arquitectura software ...

• Aplicaciones de inteligencia artificial 

  Elizondo Acuña, David Alberto (2018-12-13)

  Las redes neuronales artificiales han sido usadas en innumerables problemas reales. Esta conferencia presenta un resumen de algunas de las aplicaciones más recientes de estas técnicas a problemas reales. Dentro de los ...

• 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 ...

• 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 ...

• Complex event processing for health monitoring 

  Pérez-Vereda, Alejandro; Flores-Martín, Daniel; Murillo, Juan M.; Canal-Velasco, Jose Carlos (2018-11-26)

  The increase of the life expectancy has become a problem in regions with a low population density. This fact is caused by the existence of small towns all far from one another and with the peculiarity of many elders with ...

• 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 ...

• 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 ...

• 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 ...

• 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, ...

• 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, ...

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