Publications

Publications

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Quantities of Interest for Surface based Resistivity Geophysical Measurements
Authors: Alvarez-Aramberri, J.,Bakr, S.A.,Pardo, D.,Barucq, H.
The objective of traditional goal-oriented strategies is to construct an optimal mesh that minimizes the problem size needed to achieve a user prescribed tolerance error for a given quantity of interest (QoI). Typical geophysical resistivity measurement acquisition systems can easily record… Elsevier BV

The dynamics of vortex filaments with corners
Authors: Luis Vega
This paper focuses on surveying some recent results obtained by the author together with V. Banica on the evolution of a vortex filament with one corner according to the so-called binormal flow. The case of a regular polygon studied in collaboration with F. de la Hoz is also considered.
American Institute of Mathematical Sciences (AIMS)

Numerical investigation of the aerodynamic performance for a wells-type turbine in a wave energy converter
Authors: Stipcich G.,Ramezani A.,Nava V.,Touzon I.,Sanchez-Lara M.,Remaki L.
Ocean waves constitute an extensive energy resource, whose extraction has been the subject of intense research activity in the last three decades. Among the different variants of Wave Energy Converters, the principle of the Oscillating Water Column (OWC) is one of the most promising ones. An OWC… CIMNE

On a Machine Learning Approach for the Detection of Impersonation Attacks in Social Networks
Authors: Villar-Rodriguez, Esther,Del Ser, Javier,Salcedo-Sanz, Sancho
Lately the proliferation of social networks has given rise to a myriad of fraudulent strategies aimed at getting some sort of benefit from the attacked individual. Despite most of them being exclusively driven by economic interests, the so called impersonation, masquerading attack or identity fraud… Springer International Publishing

Multi-objectivising the Quadratic Assignment Problem by Means of an Elementary Landscape Decomposition
Authors: Jose A. Lozano,Alexander Mendiburu,Josu Ceberio,Borja Calvo
In the last decade, many works in combinatorial optimisation have shown that, due to the advances in multi-objective optimisation, the algorithms in this field could be used for solving single-objective problems. In this sense, a number of papers have proposed multi-objectivising single-objective… Springer International Publishing

Complex angular momentum theory of state-to-state integral cross sections: resonance effects in the F + HD → HF(v′ = 3) + D reaction
Authors: Elena Akhmatskaya,Elena Akhmatskaya,C. Echeverría-Arrondo,Dario De Fazio,Dmitri Sokolovski,Dmitri Sokolovski

State-to-state reactive integral cross sections (ICSs) are often affected by quantum mechanical resonances, especially in the neighborhood of a reactive threshold.


Royal Society of Chemistry (RSC)

Multi-objective Hierarchic Memetic Solver for Inverse Parametric Problems
Authors: Julen Álvarez-Aramberri,Julen Álvarez-Aramberri,Julen Álvarez-Aramberri,Maciej Smołka,Ewa Gajda-Zagórska,David Pardo,David Pardo,David Pardo,Robert Schaefer
We propose a multi-objective approach for solving challenging inverse parametric problems. The objectives are misfits for several physical descriptions of a phenomenon under consideration, whereas their domain is a common set of admissible parameters. The resulting Pareto set, or parameters close… Elsevier BV

Numerical simulation of extreme wave runup during storm events in Tramandaí Beach, Rio Grande do Sul, Brazil
Authors: Pedro V. Guimarães,Pedro V. Guimarães,Elírio E. Toldo,Gabriel Diaz-Hernandez,Leandro Farina,Leandro Farina,Elena Akhmatskaya,Elena Akhmatskaya
We present a high resolution analysis of the interaction of irregular waves with natural and urban structures leading to extreme wave runup. Horizontal runup data, instantaneous flooding maps, and wave propagation beyond the coastline are numerically predicted. The novel methodology combining the… Elsevier BV

On the Applicability of Ant Colony Optimization to Non-Intrusive Load Monitoring in Smart Grids
Authors: Gonzalez-Pardo, A.,Del Ser, J.,Camacho, D.
Along with the proliferation of the Smart Grid, power load disaggregation is a research area that is lately gaining a lot of popularity due to the interest of energy distribution companies and customers in identifying consumption patterns towards improving the way the energy is produced and… Springer International Publishing

Semantic Information Fusion of Linked Open Data and Social Big Data for the Creation of an Extended Corporate CRM Database
Authors: Torre-Bastida, Ana I.,Villar-Rodriguez, Esther,Del Ser, Javier,Gil-Lopez, Sergio
The amount of on-line available open information from heterogeneous sources and domains is growing at an extremely fast pace, and constitutes an important knowledge base for the consideration of industries and companies. In this context, two relevant data providers can be highlighted: the “Linked… Springer International Publishing

Adaptive simulation of unsteady flow past the submerged part of a floating wind turbine platform
Authors: Jansson J.,Nava V.,Sanchez M.,Aguirre G.,De Abreu R. V.,Hoffman J.,Villate J. L.
Offshore floating platforms for wind turbines represent challenging concepts for design- ers trying to combine an optimal compromise between cost effectiveness and performance. Modelling of the hydrodynamic behaviour of the structure is still the subject of wide de- bate in the… CIMNE

Multiple-time-stepping generalized hybrid Monte Carlo methods
Authors: Bruno Escribano,Elena Akhmatskaya,Sebastian Reich,Jon M. Azpiroz
Performance of the generalized shadow hybrid Monte Carlo (GSHMC) method [1], which proved to be superior in sampling efficiency over its predecessors [2-4], molecular dynamics and hybrid Monte Carlo, can be further improved by combining it with multi-time-stepping (MTS) and mollification of slow… Elsevier BV

A Novel Weakly Supervised Problem: Learning from Positive-Unlabeled Proportions
Authors: Jerónimo Hernández-González,Iñaki Inza,Jose A. Lozano
Standard supervised classification learns a classifier from a set of labeled examples. Alternatively, in the field of weakly supervised classification different frameworks have been presented where the training data cannot be certainly labeled. In this paper, the novel problem of learning from… Springer International Publishing

On the application of multi-objective harmony search heuristics to the predictive deployment of firefighting aircrafts: a realistic case study
Authors: Bilbao, Miren Nekane,Del Ser, Javier,Salcedo-Sanz, Sancho,Casanova-Mateo, Carlos
This manuscript focuses on the increasing frequency and scales of worldwide wildfires and the need for enhancing the effectiveness of firefighting resources. The scope is focused on optimally deploying firefighting aircrafts on aerodromes and airports existing over an area based on fire risk… Inderscience Publishers

Enhanced Variational Image Dehazing
Authors: Adrian Galdran,Javier Vazquez-Corral,David Pardo,Marcelo Bertalmío
Images obtained under adverse weather conditions, such as haze or fog, typically/nexhibit low contrast and faded colors, which may severely limit the visibility within the scene. Unveiling/nthe image structure under the haze layer and recovering vivid colors out of a single image/nremains a… Society for Industrial & Applied Mathematics (SIAM)

Multi-start Methods
Authors: Marti, Rafael,Lozano, Jose A.,Mendiburu, Alexander,Hernando, Leticia
[EN]Multi-start procedures were originally conceived as a way to exploit a local or neighborhood search procedure, by simply applying it from multiple random initial solutions. Modern multi-start methods usually incorporate a powerful form of diversification in the generation of solutions to help… Springer International Publishing

Shell Interactions for Dirac Operators: On the Point Spectrum and the Confinement
Authors: Arrizabalaga, Naiara,Mas Blesa, Albert,Vega, Luis
25 pages, 2 figures
Society for Industrial & Applied Mathematics (SIAM)

Instantaneous three-dimensional thermal structure of the South Polar Vortex of Venus
Authors: Agustín Sánchez-Lavega,Ricardo Hueso,A. García Muñoz,I. Garate-Lopez
The Venus thermal radiation spectrum exhibits the signature of $CO_2$ absorption bands. By means of inversion techniques, those bands enable the retrieval of atmospheric temperature profiles. We have analyzed VIRTIS-M-IR night-side data obtaining high-resolution thermal maps of Venus south polar… Elsevier BV

Integrated Risk Assessment of Water-Related Disasters
Authors: GIUPPONI, Carlo,MOJTAHED, Vahid,GAIN, ANIMESH,BISCARO, CLAUDIO,BALBI, Stefano
This chapter presents a conceptual framework (KULTURisk Framework or KR-FWK) and its implementation methods (SERRA or Socio-Economic Regional Risk Assessment) for integrated (physical and economical) risk assessment and evaluation of risk prevention benefits in the field of water-related processes… Elsevier BV

Evaluating machine-learning techniques for recruitment forecasting of seven North East Atlantic fish species
Authors: Aritz Pérez,Xabier Irigoien,Nerea Goikoetxea,Iñaki Inza,Jose A. Lozano,Jose A. Fernandes,Jose A. Fernandes
The effect of different factors (spawning biomass, environmental conditions) on recruitment is a subject of great importance in the management of fisheries, recovery plans and scenario exploration. In this study, recently proposed supervised classification techniques, tested by the machine-learning… Elsevier BV

The initial value problem for the Binormal Flow with rough data
Authors: Banica, V.,Vega, L.
34 pages, 3 figures, revised version, to appear in Ann. Sci. \'Ec. Norm. Sup\'er. (4)
Societe Mathematique de France

A Variational Framework for Single Image Dehazing
Authors: Adrian Galdran,Javier Vazquez-Corral,David Pardo,Marcelo Bertalmío
Comunicació presentada a: European Conference on Computer Vision Workshops (ECCV 2014), celebrada del 6 al 7 de setembre de 2014 a Zurich, Suïssa. Images captured under adverse weather conditions, such as haze or fog, typically exhibit low contrast and faded colors, which may severely… Springer International Publishing

Erratum to: Relativistic Hardy Inequalities in Magnetic Fields
Authors: Nicola Visciglia,Luca Fanelli,Luis Vega
Springer Science and Business Media LLC

A review of message passing algorithms in estimation of distribution algorithms
Authors: Jose A. Lozano,Alexander Mendiburu,Roberto Santana
Message passing algorithms (MPAs) have been traditionally used as an inference method in probabilistic graphical models. Some MPA variants have recently been introduced in the field of estimation of distribution algorithms (EDAs) as a way to improve the efficiency of these algorithms. Multiple… Springer Science and Business Media LLC

The misconception of ecosystem disservices: How a catchy term may yield the wrong messages for science and society
Authors: Villa, Ferdinando,Bagstad, Kenneth J.,Voigt, Brian,Johnson, Gary W.,Athanasiadis, Ioannis N.,Balbi, Stefano
Elsevier BV