Why are these similar? Investigating item similarity types in a large digital library
Authors: Gonzalez-Agirre, A.,Rigau, G.,Agirre, E.,Aletras, N.,Stevenson, M.
We introduce a new problem, identifying the type of relation that holds between a pair of similar items in a digital library. Being able to provide a reason why items are similar has applications in recommendation, personalization, and search. We investigate the problem within the context of…
Wiley
Goal-oriented adaptivity using unconventional error representations for the 1D Helmholtz equation
Authors: Darrigrand, V.,Pardo, D.,Muga, I.
International audience; In this work, the error of a given output functional is represented using bilinear forms that are different from those given by the adjoint problem. These representations can be employed to design novel h, p, and hp energy-norm and goal-oriented adaptive algorithms.…
Elsevier BV
Mixtures of Generalized Mallows models for solving the quadratic assignment problem
Authors: Josu Ceberio,Alexander Mendiburu,Roberto Santana,Jose A. Lozano
Recently, distance-based exponential probability models have demonstrated their validity in the context of estimation of distribution algorithms when solving permutationbased combinatorial optimisation problems. However, despite their successful performance, some of these models are unimodal, and,…
IEEE
An Artificial Bioindicator System for Network Intrusion Detection
Authors: Christian Blum,Pedro Pinacho Davidson,Jose A. Lozano
An artificial bioindicator system is developed in order to solve a network intrusion detection problem. The system, inspired by an ecological approach to biological immune systems, evolves a population of agents that learn to survive in their environment. An adaptation process allows the…
MIT Press - Journals
Mathematical programming strategies for solving the minimum common string partition problem
Authors: Christian Blum,Christian Blum,Pedro Pinacho Davidson,Pedro Pinacho Davidson,Jose A. Lozano
The minimum common string partition problem is an NP-hard combinatorial optimization problem with applications in computational biology. In this work we propose the first integer linear programming model for solving this problem. Moreover, on the basis of the integer linear programming model we…
Elsevier BV
The Use of Pulse Oximetry to Determine Hypoxemia in Acute Exacerbations of COPD
Authors: Susana, Garcia-Gutierrez,Anette, Unzurrunzaga,Inmaculada, Arostegui,Jose María, Quintana,Esther, Pulido,Maria Soledad, Gallardo,Cristóbal, Esteban,Jose M, Quintana
There is little evidence that the guideline-recommended oxygen saturation of 92% is the best cut-off point for detecting hypoxemia in COPD exacerbations.To detect and validate pulse oximetry oxygen saturation cut-off values likely to detect hypoxemia in patients with aeCOPD, to explore the…
Informa UK Limited
A review of distances for the Mallows and Generalized Mallows estimation of distribution algorithms
Authors: Josu Ceberio,Ekhine Irurozki,Alexander Mendiburu,Jose A. Lozano
The Mallows (MM) and the Generalized Mallows (GMM) probability models have demonstrated their validity in the framework of Estimation of distribution algorithms (EDAs) for solving permutation-based combinatorial optimisation problems. Recent works, however, have suggested that the performance of…
Springer Science and Business Media LLC
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
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
A Coral Reefs Optimization algorithm with Harmony Search operators for accurate wind speed prediction
Authors: Luis Prieto,J. Del Ser,A. Pastor-Sánchez,Zong Woo Geem,Sancho Salcedo-Sanz
CRO and HS for wind speed prediction 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…
Elsevier BV
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
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)
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
Study of the influence of different variables on membrane fouling in submerged membrane bioreactors
Authors: D. Iturbe,E. Agirre,A. Urkiaga,J. Etxebarria
AbstractMembrane fouling is still the greatest handicap to overcome in membrane bioreactor (MBR) technology. In this study, a multi-factorial experimental design was carried out in order to optimize the MBR process, studying the effect of major variables involved in the fouling phenomenon as well…
Elsevier BV
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
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
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
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 research of Jose A. Fernandes and Nerea Goikoetxea is supported by a Doctoral Fellowship from the Fundacion Centros Tecnologicos Inaki Goenaga. This study has been supported by the following projects: Ecoanchoa (funded by the Department of Agriculture, Fisheries and Food of the Basque Country…
Elsevier BV
A Variational Framework for Single Image Dehazing
Authors: Galdran, Adrian,Vazquez-Corral, Javier,Pardo, David,Bertalmío, Marcelo
Images captured under adverse weather conditions, such as haze or fog, typically exhibit low contrast and faded colors, which may severely limit the visibility within the scene. Unveiling the image struc- ture under the haze layer and recovering vivid colors out of a single image remains a…
Springer International Publishing
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 intensities of the pectoral…
Springer International Publishing
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
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
The dynamics of vortex filaments with corners
Authors: Vega, L.
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)