Now showing items 1-20 of 962

    • Robust combination of the Morris and Sobol methods in complex multidimensional models 

      Garcia D.; Arostegui I.; Prellezo R. (Environmental Modelling and Software, 2019)
      Conducting global sensitivity analysis using variance decomposition methods in complex simulation models with many input factors is usually unaffordable. An alternative is to first apply a screening method to reduce the ...
    • Asymptotic behaviour of some nonlocal equations in mathematical biology and kinetic theory 

      Havva Yoldaş (2019-09)
      We study the long-time behaviour of solutions to some partial differential equations arising in modeling of several biological and physical phenomena. In this work, the type of the equations we consider is mainly nonlocal, ...
    • Clinical correlates of mathematical modeling of cortical spreading depression: Single‐cases study 

      Kroos J.M.; de Tommaso M.; Stramaglia S.; Vecchio E.; Burdi N.; Gerardo Giorda L. (Brain and Behavior, 2019-07-28)
      Introduction: Considerable connections between migraine with aura and cortical spreading depression (CSD), a depolarization wave originating in the visual cortex and traveling toward the frontal lobe, lead to the hypothesis ...
    • Data generation approaches for topic classification in multilingual spoken dialog systems 

      Montenegro C.; Santana R.; Lozano J.A. (ACM International Conference Proceeding Series, 2019)
      The conception of spoken-dialog systems (SDS) usually faces the problem of extending or adapting the system to multiple languages. This implies the creation of modules specically for the new languages, which is a time ...
    • Anatomy of the attraction basins: Breaking with the intuition 

      Hernando L.; Mendiburu A.; Lozano J.A. (Evolutionary Computation, 2019)
      olving combinatorial optimization problems efficiently requires the development of algorithms that consider the specific properties of the problems. In this sense, local search algorithms are designed over a neighborhood ...
    • Characterising the rankings produced by combinatorial optimisation problems and finding their intersections 

      Hernando L.; Mendiburu A.; Lozano J.A. (GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference, 2019)
      The aim of this paper is to introduce the concept of intersection between combinatorial optimisation problems. We take into account that most algorithms, in their machinery, do not consider the exact objective function ...
    • Approaching the Quadratic Assignment Problem with Kernels of Mallows Models under the Hamming Distance 

      Arza E.; Ceberio J.; Pérez A.; Irurozki E. (Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019-07)
      The Quadratic Assignment Problem (QAP) is a specially challenging permutation-based np-hard combinatorial optimization problem, since instances of size $n>40$ are seldom solved using exact methods. In this sense, many ...
    • Minimizers of a Landau-de Gennes energy with a subquadratic elastic energy 

      Canevari G.; Majumdar A.; Stroffolini B. (Archive for Rational Mechanics and Analysis, 2019)
      We study a modified Landau-de Gennes model for nematic liq- uid crystals, where the elastic term is assumed to be of subquadratic growth in the gradient. We analyze the behaviour of global minimizers in two- and three-dimensional ...
    • Explicit-in-Time Variational Formulations for Goal-Oriented Adaptivity 

      Muñoz-Matute J. (2019-10)
      Goal-Oriented Adaptivity (GOA) is a powerful tool to accurately approximate physically relevant features of the solution of Partial Differential Equations (PDEs). It delivers optimal grids to solve challenging engineering ...
    • Portable simulation framework for diffusion MRI 

      Nguyen VD.; Leoni M.; Dancheva T.; Jansson J.; Hoffman J.; Wassermann D.; Li JR. (Journal of Magnetic Resonance, 2019-09-23)
      The numerical simulation of the diffusion MRI signal arising from complex tissue micro-structures is helpful for understanding and interpreting imaging data as well as for designing and optimizing MRI sequences. The ...
    • A roadmap to integrate astrocytes into Systems Neuroscience 

      Kastanenka Ksenia V.; Poskanzer Kira E.; Galea Elena; Moreno-Bote R.; De Pittà M.; Perea G.; Eraso-Pichot A.; Masgrau R. (Glia, 2019-05-06)
      Systems Neuroscience is still mainly a neuronal field, despite the plethora of evidence supporting the fact that astrocytes modulate local neural circuits, networks, and complex behaviors. In this article, we sought to ...
    • Sentiment analysis with genetically evolved Gaussian kernels 

      Roman I.; Santana R.; Mendiburu A.; Lozano J.A. (GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference, 2019)
      Sentiment analysis consists of evaluating opinions or statements based on text analysis. Among the methods used to estimate the degree to which a text expresses a certain sentiment are those based on Gaussian Processes. ...
    • Metastable resting state brain dynamics 

      beim Graben P.; Jimenez-Marin A.; Diez I.; Cortes J. M.; Desroches M.; Rodrigues S. (Frontiers in Computational Neuroscience, 2019-09-06)
      Metastability refers to the fact that the state of a dynamical system spends a large amount of time in a restricted region of its available phase space before a transition takes place, bringing the system into another state ...
    • Optimal multi-impulse space rendezvous considering limited impulse using a discretized Lambert problem combined with evolutionary algorithms 

      Shirazi A.; Ceberio J.; Lozano J.A. (8th European Conference for Aeronautics and Space Sciences, 2019-07-01)
      In this paper, a direct approach is presented to tackle the multi-impulse rendezvous problem considering the impulse limit. Particularly, the standard Lambert problem is extended toward several consequential orbit transfers ...
    • Reconstruction of the Derivative of the Conductivity at the Boundary 

      Ponce-Vanegas F. (2019-08)
      We describe a method to reconstruct the conductivity and its normal derivative at the boundary from the knowledge of the potential and current measured at the boundary. This boundary determination implies the uniqueness ...
    • A Bilinear Strategy for Calderón's Problem 

      Ponce-Vanegas F. (2019-08)
      Electrical Impedance Imaging would suffer a serious obstruction if for two different conductivities the potential and current measured at the boundary were the same. The Calder\'on's problem is to decide whether the ...
    • An evolutionary discretized Lambert approach for optimal long-range rendezvous considering impulse limit 

      Shirazi A.; Ceberio J.; Lozano J.A. (Aerospace Science and Technology, 2019-09-18)
      In this paper, an approach is presented for finding the optimal long-range space rendezvous in terms of fuel and time, considering limited impulse. In this approach , the Lambert problem is expanded towards a discretized ...
    • Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework 

      Carreño A.; Inza I.; Lozano J.A. (Artificial Intelligence Review, 2019-09-01)
      In recent years, a variety of research areas have contributed to a set of related problems with rare event, anomaly, novelty and outlier detection terms as the main actors. These multiple research areas have created a ...
    • Single-trajectory spectral analysis of scaled Brownian motion 

      Sposini V.; Metzler R.; Oshanin G. (New Journal of Physics, 2019-06)
      A standard approach to study time-dependent stochastic processes is the power spectral density (PSD), an ensemble-averaged property defined as the Fourier transform of the autocorrelation function of the process in the ...
    • Crowd-Centric Counting via Unsupervised Learning 

      Morselli F.; Bartoletti S.; Mazuelas S.; Win M.; Conti A. (2019 IEEE International Conference on Communications Workshops (ICC Workshops), 2019-07-11)
      Counting targets (people or things) within a moni-tored area is an important task in emerging wireless applications,including those for smart environments, safety, and security.Conventional device-free radio-based ...