Publications

Displaying 676 - 700 of 1307

Publication	Date
A Coral Reefs Optimization algorithm with Harmony Search operators for accurate wind speed prediction Authors: Salcedo-Sanz, Sancho,Pastor-Sanchez, Alvaro,Del Ser, Javier,Prieto, Luis,Geem, Zong-Woo Abstract This paper introduces a new hybrid bio-inspired solver which combines elements from the recently proposed Coral Reefs Optimization (CRO) algorithm with operators from the Harmony Search (HS) approach, which gives rise to the coined CRO-HS optimization technique. Specifically, this novel… Elsevier BV	2015-03-01
The linear ordering problem revisited Authors: Josu Ceberio,Alexander Mendiburu,Jose A. Lozano Abstract The Linear Ordering Problem is a popular combinatorial optimisation problem which has been extensively addressed in the literature. However, in spite of its popularity, little is known about the characteristics of this problem. This paper studies a procedure to extract static information… Elsevier BV	2015-03-01
Fast 1D inversion of logging-while-drilling resistivity measurements for improved estimation of formation resistivity in high-angle and horizontal wells Authors: Pardo, David,Torres-Verdín, Carlos We have developed an efficient inversion method to estimate layer-by-layer electric resistivity from logging-while-drilling electromagnetic induction measurements. The method assumes a 1D model based on planarly layered transversely isotropic formations with known bed boundaries, penetrated by… Society of Exploration Geophysicists	2015-03-01
Reliability and accuracy of the thoracic impedance signal for measuring cardiopulmonary resuscitation quality metrics Authors: Mohamud Daya,Elisabete Aramendi,Sofía Ruiz de Gauna,James K. Russell,Unai Ayala,Digna M. González-Otero,Jesus Ruiz,Erik Alonso To determine the accuracy and reliability of the thoracic impedance (TI) signal to assess cardiopulmonary resuscitation (CPR) quality metrics.A dataset of 63 out-of-hospital cardiac arrest episodes containing the compression depth (CD), capnography and TI signals was used. We developed a chest… Elsevier BV	2015-03-01
An extremely high-altitude plume seen at Mars’ morning terminator Authors: C. Pellier,D. Parker,J. M. Gómez-Forrellad,Agustín Sánchez-Lavega,D. Peach,Enrique Garcia-Melendo,Santiago Pérez-Hoyos,A. García Muñoz,Miguel Lopez-Valverde,Miguel Lopez-Valverde,M. Delcroix,J. Phillips,W. Jaeschke,F. González-Galindo,F. González-Galindo The Martian limb (that is, the observed 'edge' of the planet) represents a unique window into the complex atmospheric phenomena occurring there. Clouds of ice crystals (CO2 ice or H2O ice) have been observed numerous times by spacecraft and ground-based telescopes, showing that clouds are typically… Springer Science and Business Media LLC	2015-02-16
Venus's major cloud feature as an equatorially trapped wave distorted by the wind Authors: Miguel Lopez-Valverde,Miguel Lopez-Valverde,P. Machado,Agustín Sánchez-Lavega,Javier Peralta,David Luz AbstractThe superrotation of the atmospheres of slowly rotating bodies is a long‐standing problem yet unsolved in atmospheric dynamics. On Venus, the most extreme case known of superrotation, this is accompanied and influenced by a recurrent planetary‐scale cloud structure, known as the Y feature.… American Geophysical Union (AGU)	2015-02-06
Computational cost of isogeometric multi-frontal solvers on parallel distributed memory machines Authors: Maciej Woźniak,Victor M. Calo,David Pardo,David Pardo,David Pardo,Maciej Paszyński,Lisandro Dalcin This paper derives theoretical estimates of the computational cost for isogeometric multi-frontal direct solver executed on parallel distributed memory machines. We show theoretically that for the $C^{p-1}$ global continuity of the isogeometric solution, both the computational cost and the… Elsevier BV	2015-02-01
Inputazio tekniken errendimenduaren ebaluazioa bi neurketako luzeranzko datuetan Authors: Aguirre Larracoechea, Urko,Arostegui Madariaga, Inmaculada,Quintana, José M. Neurketa errepikatuetan oinarrituriko behaketa-ikerketak menpeko aldagaien aldaketak denboran zehar aztertzeko erabiltzen dira. Bi neurketa baizik bakarrik egiten ez direnean, ikerketa helburu nagusietariko bat izan daiteke menpeko aldagaiaren batez besteko aldaketa aurresaten dituzten faktoreak… UPV/EHU Press	2015-01-09
Eredu aurresaleetako aldagai jarraituen kategorizaziorik hoberena lortzeko metodologia proposamena: aplikazio zehatza medikuntzan Authors: Barrio Beraza, Irantzu,Arostegui Madariaga, Inmaculada,García Gutiérrez, Susana Medikuntzan parametro kliniko asko kategorizatzen dira erabaki prozesuak errazteko. Areago arau aurresale klinikoen garapenean ohiko teknika bat da aldagaien kategorizazio hau. Aldagai aurresale bat kategorizatzerakoan kategoria kopurua aldagai aurresale eta erantzulearen arteko erlazioaren menpe… UPV/EHU Press	2015-01-08
Multidimensional Learning from Crowds: Usefulness and Application of Expertise Detection Authors: Jerónimo Hernández-González,Jose A. Lozano,Iñaki Inza Learning from crowds is a classification problem where the provided training instances are labeled by multiple usually conflicting annotators. In different scenarios of this problem, straightforward strategies show an astonishing performance. In this paper, we characterize the crowd scenarios where… Hindawi Limited	2015-01-05
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	2015-01-01
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	2015-01-01
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	2015-01-01
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	2015-01-01
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)	2015-01-01
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	2015-01-01
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)	2015-01-01
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	2015-01-01
Integrated Risk Assessment of Water-Related Disasters Authors: Carlo Giupponi,Vahid Mojtahed,Stefano Balbi,Animesh K. Gain,Claudio Biscaro,Claudio Biscaro Abstract 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… Elsevier BV	2015-01-01
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	2015-01-01
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	2015-01-01
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	2015-01-01
Pectoral Muscle Segmentation in Mammograms Based on Cartoon-Texture Decomposition Authors: Galdran, Adrian,Picon, Artzai,Garrote, Estibaliz,Pardo, David Pectoral muscle segmentation on medio-lateral oblique views of mammograms represents an important preprocessing step in many mammographic image analysis tasks. Although its location can be per- ceptually obvious for a human observer, the variability in shape, size, and… Springer International Publishing	2015-01-01
Automatic Red-Channel underwater image restoration Authors: Galdran, A.,Pardo, D.,Picón, A.,Alvarez-Gila, A. Underwater images typically exhibit color distortion and low contrast as a result of the exponential decay that light suffers as it travels. Moreover, colors associated to different wavelengths have different attenuation rates, being the red wavelength the one that attenuates the fastest. To… Elsevier BV	2015-01-01
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	2015-01-01