• 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., ...
    • Application of data augmentation techniques towards metabolomics 

      Moreno-Barea, Francisco J.; Franco, Leonardo; Elizondo, David A.; Grootveld, Martin (Elsevier, 2022-07-27)
      Niemann–Pick Class 1 (NPC1) disease is a rare and debilitating neurodegenerative lysosomal storage disease (LSD). Metabolomics datasets of NPC1 patients available to perform this type of analysis are often limited in the ...
    • Assessing the space of phylogenetic trees to measure similarities between cell lineage trees 

      Fernández Rodríguez, Jose David; Vico-Vela, Francisco Jose (2008)
    • Autocorrelation Measures for the Quadratic Assignment Problem 

      Chicano, Francisco; Luque-Polo, Gabriel Jesús; Alba-Torres, Enrique
      In this article we provide an exact expression for computing the autocorrelation coefficient $\xi$ and the autocorrelation length $\ell$ of any arbitrary instance of the Quadratic Assignment Problem (QAP) in polynomial ...
    • Automating the search of molecular motor templates by evolutionary methods 

      Fernández Rodríguez, Jose David; Vico-Vela, Francisco Jose (Elsevier, 2011)
      Biological molecular motors are nanoscale devices capable of transforming chemical energy into mechanical work, which are being researched in many scientific disciplines. From a computational point of view, the characteristics ...
    • Big Data Optimization: Framework Algorítmico para el análisis de Datos guiado por Semántica 

      Barba-Gonzalez, Cristobal; Aldana-Montes, Jose Francisco; Garcia-Nieto, Jose Manuel (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 ...
    • Binding data mining and expert knowledge for one-day-ahead prediction of hourly global solar radiation 

      del Campo-Ávila, José; Takilalte, Abdelatif; Bifet, Albert; Mora-López, Llanos (Elsevier Ltd, 2021-04-01)
      A new methodology to predict one-day-ahead hourly solar global radiation is proposed in this paper. This information is very useful to address many real problems; for instance, energy-market decision making is one of the ...
    • Biomimetic Engineering 

      Vico-Vela, Francisco Jose (International Society for Horticultural Science, 2008)
      Humankind is a privileged animal species for many reasons. A remarkable one is its ability to conceive and manufacture objects. Human industry is indeed leading the various winning strategies (along with language and ...
    • Capping methods for the automatic configuration of optimization algorithms 

      de Souza, Marcelo; Ritt, Marcus; Lopez Ibañez Infante, Manuel (Elsevier, 2022-03)
      Automatic configuration techniques are widely and successfully used to find good parameter settings for optimization algorithms. Configuration is costly, because it is necessary to evaluate many configurations on different ...
    • Classifying resilience approaches for protecting smart grids against cyber threats 

      Syrmakesis, Andrew D.; Alcaraz-Tello, Maria Cristina; Hatziargyriou, Nikos D. (Springer, 2022-05-06)
      Smart grids (SG) draw the attention of cyber attackers due to their vulnerabilities, which are caused by the usage of heterogeneous communication technologies and their distributed nature. While preventing or detecting ...
    • Combining multiple granularity variability in a software product line approach for web engineering 

      Horcas Aguilera, José Miguel; Cortiñas, Alejandro; Fuentes-Fernández, Lidia; Luaces, Miguel-R (Elsevier, 2022-08)
      Context: Web engineering involves managing a high diversity of artifacts implemented in different languages and with different levels of granularity. Technological companies usually implement variable artifacts of Software ...
    • Data driven tools to assess the location of photovoltaic facilities in urban areas 

      Rodríguez-Gómez, Francisco; Del-Campo-Avila, Jose; Ferrer Cuesta, Marta; Mora-López, Llanos (Elsevier, 2022-10-01)
      Urban sustainability is a significant factor in combating climate change. Replacing polluting by renewable energies is fundamental to reduce the emission of greenhouse gases. Photovoltaic (PV) facilities harnessing solar ...
    • Dynamic and adaptive fault-tolerant asynchronous federated learning using volunteer edge devices 

      Morell Martínez, José Ángel; Alba, Enrique (Elsevier, 2022)
      The number of devices, from smartphones to IoT hardware, interconnected via the Internet is growing all the time. These devices produce a large amount of data that cannot be analyzed in any data center or stored in the ...
    • 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 ...
    • 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 ...
    • Elementary landscape decomposition of the frequency assignment problem 

      Chicano, Francisco; Whitley, L. Darrell; Alba-Torres, Enrique; Luna, Francisco (2014-09-30)
      The Frequency Assignment Problem (FAP) is an important problem that arises in the design of radio networks, when a channel has to be assigned to each transceiver of the network. This problem is a generalization of the graph ...
    • Embryomorphic Engineering: Emergent innovation through evolutionary development 

      Doursat, René; Sánchez Quintana, Carlos Alberto; Dordea, Razvan; Fourquet, David; Kowaliw, Taras (2014-01-07)
      Embryomorphic Engineering, a particular instance of Morpho-genetic Engineering, takes its inspiration directly from biological development to create new hardware, software or network architectures by decentralized ...
    • Emergent diversity in an open-ended evolving virtual community 

      Fernández Rodríguez, Jose David; Lobo Fernández, Daniel; Martín Reyes, Gema María; Doursat, René; Vico-Vela, Francisco Jose (MIT Press, 2012)
      Understanding the dynamics of biodiversity has become an important line of research in theoretical ecology and, in particular, conservation biology. However, studying the evolution of ecological communities under ...
    • Empirical analysis of the tool support for software product lines 

      Horcas Aguilera, José Miguel; Pinto-Alarcon, Monica; Fuentes-Fernández, Lidia (Springer, 2022-06-08)
      For the last ten years, software product line (SPL) tool developers have been facing the implementation of different variability requirements and the support of SPL engineering activities demanded by emergent domains. ...
    • Ensemble ellipse fitting by spatial median consensus 

      Thurnhofer Hemsi, Karl; López-Rubio, Ezequiel; Blazquez-Parra, Elidia Beatriz; Ladrón de Guevara Muñoz, 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 ...