Search Results - "Masegosa, A"

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  1. 1

    Comparing two multinomial samples using hierarchical Bayesian models by Masegosa, A. R., Torres, A., Morales, M., Salmerón, A.

    Published in Progress in artificial intelligence (01-06-2020)
    “…Two-sample statistical tests are commonly used when deciding whether two samples can be considered to be drawn from the same population. However, statistical…”
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    Journal Article
  2. 2

    An adaptive local search with prioritized tracking for Dynamic Environments by Masegosa, A. D., Onieva, E., Lopez-Garcia, P., Osaba, E., Perallos, A.

    “…Dynamic Optimization Problems (DOPs) have attracted a growing interest in recent years. This interest is mainly due to two reasons: their closeness to…”
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    Journal Article
  3. 3

    A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data by Bogaerts, Toon, Masegosa, Antonio D., Angarita-Zapata, Juan S., Onieva, Enrique, Hellinckx, Peter

    “…Traffic forecasting is an important research area in Intelligent Transportation Systems that is focused on anticipating traffic in order to mitigate…”
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    Journal Article
  4. 4

    Occurrence and management of chronic venous disease in primary health care in Spain. A comparison of DETECT-2006 with DETECT-2000 by Lozano, F S, Masegosa, A, Alvarez, J, Marinello, J

    Published in International angiology (01-02-2009)
    “…The aim of this study was to investigate the prevalence and initial treatment of chronic venous disease (CVD) in the Spanish primary health care system during…”
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    Journal Article
  5. 5

    Diffusion-weighted MRI in early diagnosis of cerebral fat embolism syndrome by Leiva Salinas, C, Poyatos Ruipérez, C, González Masegosa, A, Ferrer Casanova, J M

    Published in Neurología (Barcelona, Spain) (01-04-2008)
    “…Fat embolism syndrome (FES) is a potentially serious, but poorly diagnosed, complication in polytraumatized patients. A 19 year-old male was admitted in our…”
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    Journal Article
  6. 6

    Good practice proposal for the implementation, presentation, and comparison of metaheuristics for solving routing problems by Osaba, E., Carballedo, R., Diaz, F., Onieva, E., Masegosa, A.D., Perallos, A.

    Published in Neurocomputing (Amsterdam) (03-01-2018)
    “…Researchers who investigate in any area related to computational algorithms (both defining new algorithms or improving existing ones) usually find large…”
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    Journal Article
  7. 7

    Antiganglioside antibodies in acute self-limiting ataxic neuropathy: incidence and significance by Serrano-Munuera, C, Gallardo, E, Rojas, R, De Luna, N, González-Masegosa, A, Martı́-Massó, J.F, Martı́nez-Matos, A, Ortı́z, N, Reñé, R, Berciano, J, Grau, J.M, Willison, H.J, Graus, F, Illa, I

    Published in Journal of neuroimmunology (01-11-2001)
    “…Antidisialosyl antibodies have been previously associated to chronic and acute ataxic neuropathies. We studied the presence of these antibodies in nine…”
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    Journal Article
  8. 8

    A Discrete Firefly Algorithm to Solve a Rich Vehicle Routing Problem Modelling a Newspaper Distribution System with Recycling Policy by Osaba, E, Yang, Xin-She, Diaz, F, Onieva, E, Masegosa, A. D, Perallos, A

    Published 14-04-2016
    “…A real-world newspaper distribution problem with recycling policy is tackled in this work. In order to meet all the complex restrictions contained in such a…”
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    Journal Article
  9. 9

    GACE: A meta-heuristic based in the hybridization of Genetic Algorithms and Cross Entropy methods for continuous optimization by Lopez-Garcia, P., Onieva, E., Osaba, E., Masegosa, A.D., Perallos, A.

    Published in Expert systems with applications (15-08-2016)
    “…•A hybridization of a Genetic Algorithm and the Cross-Entropy is implemented.•A total of 24 optimization functions used in an international workshop are…”
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    Journal Article
  10. 10

    A Method for Integrating Expert Knowledge When Learning Bayesian Networks From Data by Cano, A., Masegosa, A. R., Moral, S.

    “…Automatic learning of Bayesian networks from data is a challenging task, particularly when the data are scarce and the problem domain contains a high number of…”
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    Journal Article
  11. 11

    Antiganglioside antibodies in acute self-limiting ataxic neuropathy: incidence and significance by Serrano-Munuera, C, Gallardo, E, Rojas, R, De Luna, N, Gonzalez-Masegosa, A, Marti-Masso, JF, Martinez-Matos, A, Ortiz, N, Rene, R, Berciano, J, Grau, JM, Willison, HJ, Graus, F, Illa, I

    Published in Journal of the peripheral nervous system (01-06-2002)
    “…Antidisialosyl antibodies have been previously associated to chronic and acute ataxic neuropathies. We studied the presence of these antibodies in nine…”
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    Journal Article
  12. 12

    Signal processing requirements for step detection using wrist-worn IMU by Diez, L. E., Bahillo, A., Masegosa, A. D., Perallos, A., Azpilicueta, L., Falcone, F., Astrain, J. J., Villadangos, J.

    “…This paper studies how the accuracy of the step detection algorithm of a pedestrian dead-reckoning (PDR) system is affected by the sampling frequency and the…”
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    Conference Proceeding
  13. 13

    Learning with Bayesian networks and probability trees to approximate a joint distribution by Cano, A., Gomez-Olmedo, M., Masegosa, S. M. A.

    “…Most of learning algorithms with Bayesian networks try to minimize the number of structural errors (missing, added or inverted links in the learned graph with…”
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    Conference Proceeding
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    Quality control in carotid surgery. Results from the carotid surgery records in Central region of Spain (1999-2000) by Reina Gutiérrez, M T, Arribas Díaz, A, Masegosa Medina, J A, Porto Rodríguez, J, Serrano Hernando, F J

    Published in Revista de neurologiá (01-01-2003)
    “…Evaluation of technique and results of carotid endarterectomy (CEA) in the central region in Spain and possible differences among the hospitals included. Study…”
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    Journal Article
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    A cooperative strategy for parameter estimation problems in Systems Biology: Preliminary results by Masegosa, A. D., Rutolo, F., Pelta, D.

    “…Developing predictive models is one of the key issues in Systems Biology. A critical problems that arises when these models are built is the parameter…”
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    Conference Proceeding
  20. 20

    Sensitivity analysis in the scenario method: A multi-objective approach by Villacorta, P. J., Masegosa, A. D., Castellanos, D., Novoa, P., Pelta, D. A.

    “…Technology foresight deals with the necessity of anticipating the future to better adapt to new situations regarding innovations that directly affect business…”
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    Conference Proceeding