• Imagination industry Seoul 

      Vico-Vela, Francisco Jose (2018-07-27)
      The time for biology has come. The Decade of the Brain closed the twentieth century, and the new one started with the sequentiation of the entire human genome. Since then, the avalanche of information and knowledge has ...
    • Implementación de algoritmos meméticos con capacidad de auto-generación sobre CouchBD 

      García-García, Manuel; Nogueira-Collazo, Mariela; Cotta, Carlos; Fernández-Leiva, Antonio José; Merelo-Guervós, Juan J. (2015-02-09)
      Los algoritmos meméticos constituyen un paradigma de optimización basado en la explotación sistemática del conocimiento acerca del problema que se desea resolver y de la combinación de ideas tomadas de diferentes ...
    • 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 ...
    • iNGS: a prototype tool for genome interpretation and annotation 

      Navas-Delgado, Ismael; García Godoy, María Jesús; Arjona-Pulido, Fátima; Castillo-Castillo, Trinidad; Ramos-Ostio, Ana Isabel; [et al.] (EMBnet.journal, 2013)
      Currently, clinical interpretation of whole-genome NGS genetic findings are very low-throughput because of a lack of computational tools/software. The current bottleneck of whole-genome and whole-exome sequencing projects ...
    • Integrating the common variability language with multilanguage annotations for web engineering 

      Cortiñas, Alejandro; Luaces, Miguel-R; Horcas, José-Miguel; Fuentes-Fernández, Lidia; luaces (2018-10-05)
      Web applications development involves managing a high diversity of files and resources like code, pages or style sheets, implemented in different languages. To deal with the automatic generation of custom-made configurations ...
    • 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 ...
    • Introducing Approximate Model Transformations 

      Troya, Javier; Vallecillo, Antonio (2014-09-22)
      Model transformations dealing with very large models need to count on mechanisms and tools to be able to manage them. The usual approach to improve performance in these cases has focused on the use of concurrency and ...
    • Just-In-Time eTraining Applied To Emergency Medical Services 

      Vico-Vela, Francisco Jose; Sánchez Canteli, Vicente; Lobo Fernández, Daniel; Fernández Rodríguez, Jose David; Bandera, César; [et al.] (2013-12-03)
      While the applications of just-in-time training are more and more spread, the ubiquitous mobile technology has not found practical uses of this training strategy. As an original example of services for healthcare, we ...
    • kpath: An example of metabolic pathway data integration using Linked Data 

      Navas-Delgado, Ismael; García-Godoy, Maria Jesús; López-Camacho, Esteban; Ribinski, Maciej; Reyes-Palomares, Armando; [et al.] (2016)
      The main databases related to metabolic pathways, such as Kegg, Brenda, Reactome and Biocyc, provide partially interlinked data on metabolic pathways. This limitation only allows independent searches to retrieve cross-database ...
    • Learning Bayesian Networks for Student Modeling 

      Millán, Eva; Belmonte-Martinez, Maria Victoria; Jiménez, Guiomar; Pérez-de-la-Cruz, José-Luis (2015-07-03)
      In the last decade, there has been a growing interest in using Bayesian Networks (BN) in the student modelling problem. This increased interest is probably due to the fact that BNs provide a sound methodology for this ...
    • LinTraP: Primitive Operators for the Execution of Model Transformations with LinTra 

      Burgueño, Loli; Syriani, Eugene; Wimmer, Manuel; Gray, Jeff; Moreno Vallecillo, Antonio (2014-07-31)
      The problems addressed by Model-Driven Engineering (MDE) approaches are increasingly complex, hence performance and scalability of model transformations are gaining importance. In previous work, we introduced LinTra, which ...
    • 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 ...
    • Local Optima Networks, Landscape Autocorrelation and Heuristic Search Performance 

      Chicano, Francisco; Daolio, Fabio; Ochoa, Gabriela; Vérel, Sébastien; Tomassini, Marco; [et al.] (2014-10-06)
      Recent developments in fitness landscape analysis include the study of Local Optima Networks (LON) and applications of the Elementary Landscapes theory. This paper represents a first step at combining these two tools to ...
    • LTMaker: a tool for semiautomatic reconstruction of the embryonic lineage tree from 4D-microscopy 

      Vico-Vela, Francisco Jose; Lobo Fernández, Daniel; Gómez, Antonio; Burrezo García, Salvador; Fernández Rodríguez, Jose David; [et al.] (2013-12-03)
      Studies of animal development using a 4Dmicroscopy system generate an immense amount of image data. In order to properly analyze the recorded embryogenesis, a computer-aided systematic process of categorization of ...
    • Machine and Human Observable Differences in Groups’ Collaborative Problem-Solving Behaviours 

      Cukurova, Mutlu; Luckin, Rose; Mavrikis, Manolis; Millan-Valldeperas, Eva (2019-10-18)
      This paper contributes to our understanding of how to design learning analytics to capture and analyse collaborative problem-solving (CPS) in practice-based learning activities. Most research in learning analytics focuses ...
    • Machine learning models to search relevant genetic signatures in clinical context 

      Urda, Daniel; Luque-Baena, Rafael; Franco, Leonardo; Sánchez-Maroño, Noelia; Jerez-Aragonés, José Manuel (2017-06-26)
      Clinicians are interested in the estimation of robust and relevant genetic signatures from gene sequencing data. Many machine learning approaches have been proposed trying to address well-known issues of this complex ...
    • Managing Uncertain Complex Events in Web of Things Applications 

      Moreno, Nathalie; Fernández-Bertoa, Manuel; Barquero, Gala; Burgueño, Loli; Troya, Javier; [et al.] (2018-05-31)
      A critical issue in the Web of Things (WoT) is the need to process and analyze the interactions of Web-interconnected real-world objects. Complex Event Processing (CEP) is a powerful technology for analyzing streams of ...
    • Máster INFTEL: Transición de la universidad a la empresa en el campo de las comunicaciones móviles 

      Morales-Bueno, Rafael; Cantalejo-Garcia, Francisco; Morales-Becerra, Carlos R.; Araujo-Yaselli, Marian (2014-07-22)
      Las actividades de los estudiantes en la universidad tienen características claramente diferentes a las actividades en una empresa. Al pasar el estudiante de un lugar al otro necesita un periodo de adaptación. Reducir ese ...
    • Math Oracles: A New Way of Designing Efficient Self-Adaptive Algorithms 

      Luque-Polo, Gabriel Jesús; Alba-Torres, Enrique (ACM Press, 2013)
      In this paper we present a new general methodology to develop self-adaptive methods at a low computational cost. Instead of going purely ad-hoc we de ne several simple steps to include theoretical models as additional ...
    • Measuring Procedural Knowledge in Problem Solving Environments with Item Response Theory 

      Hernando, Manuel; Guzmán, Eduardo; Conejo, Ricardo (Springer, 2013)
      In this paper, a new data-driven model to measure procedural knowledge is described. The model is based on Item Response Theory. The main idea behind this new model is to establish an analogy between the testing and the ...