Publications

Publications

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Estimation of the Distribution Algorithm With a Stochastic Local Search for Uncertain Capacitated Arc Routing Problems
Authors: Juan Wang,Ke Tang,Jose A. Lozano,Xin Yao
The uncertain capacitated arc routing problem is a challenging problem in which the demands of tasks, the costs of edges, and the presence of tasks and edges are uncertain. The objective of this problem is to find a robust optimal solution for a finite set of possible scenarios. In this paper, we… Institute of Electrical and Electronics Engineers (IEEE)

PerMallows: AnRPackage for Mallows and Generalized Mallows Models
Authors: Jose A. Lozano,Borja Calvo,Ekhine Irurozki
In this paper we present the R package PerMallows, which is a complete toolbox to work with permutations, distances and some of the most popular probability models for permutations: Mallows and the Generalized Mallows models. The Mallows model is an exponential location model, considered as… Foundation for Open Access Statistic

Similarity Measure Selection for Clustering Time Series Databases
Authors: Jose A. Lozano,Usue Mori,Alexander Mendiburu
In the past few years, clustering has become a popular task associated with time series. The choice of a suitable distance measure is crucial to the clustering process and, given the vast number of distance measures for time series available in the literature and their diverse characteristics, this… Institute of Electrical and Electronics Engineers (IEEE)

Joint Topology Optimization, Power Control and Spectrum Allocation for Intra-Vehicular Multi-hop Sensor Networks Using Dandelion-Encoded Heuristics
Authors: Del Ser, J.,Bilbao, M.N.,Perfecto, C.,Gonzalez-Pardo, A.,Campos-Cordobes, S.
In the last years the interest in multi-hop communications has gained momentum within the research community due to the challenging characteristics of the intra-vehicular radio environment and the stringent robustness imposed on critical sensors within the vehicle. As opposed to point-to-point… Springer International Publishing

iUBC at SemEval-2016 Task 2: RNNs and LSTMs for interpretable STS
Authors: Montse Maritxalar,Iñigo Lopez-Gazpio,Eneko Agirre
Association for Computational Linguistics (ACL)

Estimating Attraction Basin Sizes
Authors: Alexander Mendiburu,Jose A. Lozano,Jose A. Lozano,Leticia Hernando
The performance of local search algorithms is influenced by the properties that the neighborhood imposes on the search space. Among these properties, the number of local optima has been traditionally considered as a complexity measure of the instance, and different methods for its estimation have… Springer International Publishing

To interrupt, or not to interrupt chest compressions for ventilation: that is the question!
Authors: Unai Irusta,Elisabete Aramendi
Out-of-hospital cardiac arrest (OHCA) is one of the leading causes of death in the industrialized world, with an average global incidence of 55 cases per 100,000 person-year (1). OHCA is a major public health problem. Every 5 years leading institutions like the European Resuscitation Council (ERC)… J Thorac Dis

Fusion-based Variational Image Dehazing
Authors: Adrian Galdran,Javier Vazquez-Corral,David Pardo,Marcelo Bertalmio
We propose a novel image-dehazing technique based on the minimization of two energy functionals and a fusion scheme to combine the output of both optimizations. The proposed fusion-based variational image-dehazing (FVID) method is a spatially varying image enhancement process that first minimizes a… Institute of Electrical and Electronics Engineers (IEEE)

Weak supervision and other non-standard classification problems: A taxonomy
Authors: Jerónimo Hernández-González,Iñaki Inza,Jose A. Lozano
A taxonomy of weakly supervised classification problems.Weak supervision in learning and prediction stages.Problem structure: instance-label relationship.Organization of the field: similarities and differences among frameworks.Revealing unexplored challenging frameworks. In recent years, different… Elsevier BV

A Priori Fourier Analysis for 2.5D Finite Elements Simulations of Logging-While-Drilling (LWD) Resistivity Measurements
Authors: Rodríguez-Rozas, Ángel,Pardo, David
AbstractTriaxial induction measurements provided by LWD tools generate crucial petrophysical data to determine several quantities of interest around the drilled formation under exploration, such as a map of resistivities. However, the corresponding forward modeling requires the simulation of a… Elsevier BV

Intelligent SPARQL Endpoints: Optimizing Execution Performance by Automatic Query Relaxation and Queue Scheduling
Authors: Miren Nekane Bilbao,Javier Del Ser,Javier Del Ser,Ana I. Torre-Bastida,Esther Villar-Rodriguez
The Web of Data is widely considered as one of the major global repositories populated with countless interconnected and struc- tured data prompting these linked datasets to be continuously and sharply increasing. In this context the so-called SPARQL Protocol and RDF Query Language is commonly used… Springer International Publishing

Distance Measures for Time Series in R: The TSdist Package
Authors: Alexander Mendiburu,Jose A. Lozano,Usue Mori
The R Foundation

Filtering mechanical chest compression artefacts from out-of-hospital cardiac arrest data
Authors: Elisabete Aramendi,Unai Ayala,Jo Kramer-Johansen,Trygve Eftestøl,H. Naas,Unai Irusta
Filtering techniques to remove manual compression artefacts from the ECG have not been incorporated to defibrillators to diagnose the rhythm during cardiopulmonary resuscitation. Mechanical and manual compression artefacts may be very different. The aim of this study is to characterize the… Elsevier BV

A Note on the Boltzmann Distribution and the Linear Ordering Problem
Authors: Alexander Mendiburu,Jose A. Lozano,Jose A. Lozano,Josu Ceberio
The Boltzmann distribution plays a key role in the field of optimization as it directly connects this field with that of probability. Basically, given a function to optimize, the Boltzmann distribution associated to this function assigns higher probability to the candidate solutions with better… Springer International Publishing

A Computer-Aided SAS Macro for the Evaluation of the Simulation Performances in Missingness Settings
Authors: Urko Aguirre,Inmaculada Arostegui,José M. Quintana
Model validation has become a topic of great interest to many fields such as industry, medicine or even to government. Its main challenge is to provide stable and credible tools so that the decision-maker with the information necessary can make high-consequence judgments.  This process requires… MDPI AG

Categorisation of continuous variables in a logistic regression model using the R package CatPredi
Authors: Inmaculada Arostegui,Inmaculada Arostegui,María Xosé Rodríguez-Álvarez,Irantzu Barrio
Prediction models are gaining importance in many areas such as medicine, meteorology, finance, toxicology, etc. In this context, a common distribution for the response variable is the binomial distribution and hence the logistic regression model is a commonly used regression modelling approach.… MDPI AG

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

A Boltzmann-Based Estimation of Distribution Algorithm for a General Resource Scheduling Model
Authors: Jose A. Lozano,Huaping Chen,Xinle Liang
Most researchers employed common functional models when managing scheduling problems with controllable processing times. However, in many complicated manufacturing systems with a high diversity of jobs, these functional resource models fail to reflect their specific characteristics. To fulfill… Institute of Electrical and Electronics Engineers (IEEE)

A decision tree to assess short-term mortality after an emergency department visit for an exacerbation of COPD: a cohort study
Authors: Iratxe Lafuente,Inmaculada Arostegui,Inmaculada Arostegui,Nerea González,Francisco Rivas,Susana Garcia-Gutierrez,Nerea Fernández de Larrea,José M. Quintana,Marisa Baré,Cristóbal Esteban
Creating an easy-to-use instrument to identify predictors of short-term (30/60-day) mortality after an exacerbation of chronic obstructive pulmonary disease (eCOPD) could help clinicians choose specific measures of medical care to decrease mortality in these patients. The objective of this study… Springer Science and Business Media LLC

Hardy Uncertainty Principle, Convexity and Parabolic Evolutions
Authors: Escauriaza, L.,Kenig, C. E.,Ponce, G.,Vega, L.
We give a new proof of the $L^2$ version of Hardy's uncertainty principle based on calculus and on its dynamical version for the heat equation. The reasonings rely on new log-convexity properties and the derivation of optimal Gaussian decay bounds for solutions to the heat equation with Gaussian… Springer Science and Business Media LLC

Fourier finite element modeling of light emission in waveguides: 25-dimensional FEM approach
Authors: Ou, Yangxin,Pardo, David,Chen, Yuntian
11 pages, 4 figures, Optics Express, 2015
Optica Publishing Group

Impact of element-level static condensation on iterative solver performance
Authors: Pardo, D.,Álvarez-Aramberri, J.,Paszynski, M.,Dalcin, L.,Calo, V.M.
This paper provides theoretical estimates that quantify and clarify the savings associated to the use of element-level static condensation as a first step of an iterative solver. These estimates are verified numerically. The numerical evidence shows that static condensation at the element level is… Elsevier BV

A secondary field based hp-Finite Element Method for the simulation of magnetotelluric measurements
Authors: Julen Álvarez-Aramberri,Julen Álvarez-Aramberri,Julen Álvarez-Aramberri,David Pardo,David Pardo,David Pardo,Hélène Barucq,Hélène Barucq
In some geophysical problems, it is sometimes possible to divide the subsurface resistivity distribution as a one dimensional (1D) contribution plus some two dimensional (2D) inhomogeneities. Assuming this scenario, we split the electromagnetic fields into their primary and secondary components,… Elsevier BV

A spatial Bayesian network model to assess the benefits of early warning for urban flood risk to people
Authors: Karin Tessa Hegetschweiler,Vahid Mojtahed,Vahid Mojtahed,Carlo Giupponi,Stefano Balbi,Ferdinando Villa
Abstract. This article presents a novel methodology to assess flood risk to people by integrating people's vulnerability and ability to cushion hazards through coping and adapting. The proposed approach extends traditional risk assessments beyond material damages; complements quantitative and semi-… Copernicus GmbH

Relative frequencies of constrained events in stochastic processes: An analytical approach
Authors: J.C. de la Cal,Dmitri Sokolovski,Dmitri Sokolovski,Nicholas Ballard,Elena Akhmatskaya,Elena Akhmatskaya,Simone Rusconi
The stochastic simulation algorithm (SSA) and the corresponding Monte Carlo (MC) method are among the most common approaches for studying stochastic processes. They relies on knowledge of interevent probability density functions (PDFs) and on information about dependencies between all possible… American Physical Society (APS)