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Publications

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On-line Elastic Similarity Measures for time series
Authors: Aritz Pérez,Javier Del Ser,Javier Del Ser,Jose A. Lozano,Jose A. Lozano,Izaskun Oregi
The way similarity is measured among time series is of paramount importance in many data mining and machine learning tasks. For instance, Elastic Similarity Measures are widely used to determine whether two time series are similar to each other. Indeed, in off-line time series mining, these… Elsevier BV

Novelty search for global optimization
Authors: Akemi Gálvez,Javier Del Ser,Javier Del Ser,Andrés Iglesias,Iztok Fister,Iztok Fister,Matjaž Perc,Mitja Slavinec,Eneko Osaba
Novelty search is a tool in evolutionary and swarm robotics for maintaining the diversity of population needed for continuous robotic operation. It enables nature-inspired algorithms to evaluate solutions on the basis of the distance to their k-nearest neighbors in the search space. Besides this,… Elsevier BV

Explicit-in-time goal-oriented adaptivity
Authors: Elisabete Alberdi,Victor M. Calo,Victor M. Calo,Judit Muñoz-Matute,David Pardo,David Pardo,David Pardo,Kristoffer G. van der Zee
The first four authors have received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska- Curie grant agreement No 777778. David Pardo, Elisabete Alberdi and Judit Muñoz-Matute were partially funded by the Basque Government Consolidated… Elsevier BV

Forward‐in‐time goal‐oriented adaptivity
Authors: Elisabete Alberdi,Judit Muñoz-Matute,Victor M. Calo,Victor M. Calo,David Pardo,David Pardo,David Pardo
SummaryIn goal‐oriented adaptive algorithms for partial differential equations, we adapt the finite element mesh to reduce the error of the solution in some quantity of interest. In time‐dependent problems, this adaptive algorithm involves solving a dual problem that runs backward in time. This… Wiley

Human dependence on natural resources in rapidly urbanising South African regions
Authors: Patrick J. O’Farrell,Patrick J. O’Farrell,Stefano Balbi,Nadia Sitas,Nadia Sitas,Ilse Kotzee,Ferdinando Villa,Odirilwe Selomane,Odirilwe Selomane,Ryan Blanchard,Ryan Blanchard
Enhancing the governance of social-ecological systems for more equitable and sustainable development is hindered by inadequate knowledge about how different social groups and communities rely on natural resources. We used openly accessible national survey data to develop a metric of overall… IOP Publishing

Deep Neural Networks for ECG-Based Pulse Detection during Out-of-Hospital Cardiac Arrest
Authors: Andoni Elola,Elisabete Aramendi,Unai Irusta,Artzai Picón,Erik Alonso,Pamela Owens,Ahamed Idris
The automatic detection of pulse during out-of-hospital cardiac arrest (OHCA) is necessary for the early recognition of the arrest and the detection of return of spontaneous circulation (end of the arrest). The only signal available in every single defibrillator and valid for the detection of pulse… MDPI AG

Adjoint-based formulation for computing derivatives with respect to bed boundary positions in resistivity geophysics
Authors: Mostafa Shahriari,Théophile Chaumont-Frelet,Théophile Chaumont-Frelet,David Pardo,David Pardo,David Pardo
In inverse geophysical resistivity problems, it is common to optimize for specific resistivity values and bed boundary positions, as needed, for example, in geosteering applications. When using gradient-based inversion methods such as Gauss-Newton, we need to estimate the derivatives of the… Springer Science and Business Media LLC

<p>COPD classification models and mortality prediction capacity</p>
Authors: Irantzu Barrio,Inmaculada Arostegui,Inmaculada Arostegui,Amaia Aramburu,Txomin Zabala,Myriam Aburto,Cristóbal Esteban,José M. Quintana,Javier Moraza,Ane Uranga,Amaia García-Loizaga
Our aim was to assess the impact of comorbidities on existing COPD prognosis scores.A total of 543 patients with COPD (FEV1 <80% and FEV1/FVC <70%) were included between January 2003 and January 2004. Patients were stable for at least 6 weeks before inclusion and were followed for 5 years… Informa UK Limited

Source time reversal (STR) method for linear elasticity
Authors: Jaime H. Ortega,Ignacio Brevis,David Pardo,David Pardo,David Pardo,Ángel Rodríguez-Rozas,Ángel Rodríguez-Rozas
This work was partially supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant No 644602 GEAGAM (Spain) and CONICYT, Chile - PIA/Concurso de Apoyo a Centros Científicos y Tecnológicos de Excelencia con Financiamiento Basal AFB170001.… Elsevier BV

Foreword: New theoretical insights and practical applications of bio-inspired computation approaches
Authors: Xin-She Yang,Javier Del Ser,Zong Woo Geem
Elsevier BV

Weighted strategies to guide a multi-objective evolutionary algorithm for multi-UAV mission planning
Authors: Javier Del Ser,Javier Del Ser,David Camacho,Cristian Ramirez Atencia
Management and mission planning over a swarm of unmanned aerial vehicle (UAV) remains to date as a challenging research trend in what regards to this particular type of aircrafts. These vehicles are controlled by a number of ground control station (GCS), from which they are commanded to… Elsevier BV

A Discrete and Improved Bat Algorithm for solving a medical goods distribution problem with pharmacological waste collection
Authors: Javier Del Ser,Javier Del Ser,Pedro Lopez-Garcia,Eneko Osaba,Xin-She Yang,Iztok Fister,Alejo J. Vazquez-Pardavila
Abstract The work presented in this paper is focused on the resolution of a real-world drugs distribution problem with pharmacological waste collection. With the aim of properly meeting all the real-world restrictions that comprise this complex problem, we have modeled it as a multi-attribute or… Elsevier BV

Dust particle size and optical depth on Mars retrieved by the MSL navigation cameras
Authors: Agustín Sánchez-Lavega,Santiago Pérez-Hoyos,H. Chen-Chen
In this paper we show that Sun-viewing images obtained by the Mars Science Laboratory (MSL) Navigation Cameras (Navcam) can be used for retrieving the dust optical depth and constrain the aerosol physical properties at Gale Crater by evaluating the sky brightness as a function of the scattering… Elsevier BV

Combining eight research areas to foster the uptake of ecosystem‐based management in fresh waters
Authors: Sami Domisch,Simone D. Langhans,Simone D. Langhans,Sonja C. Jähnig,Romina Martin,Gonzalo Delacámara,Javier Martínez-López,Stefano Balbi,Peter Vermeiren,Virgilio Hermoso,Mathias Kuemmerlen,Ferdinando Villa
AbstractFreshwater ecosystems are under a constant risk of being irreversibly damaged by human pressures that threaten their biodiversity, the sustainability of ecosystem services (ESs), and human well‐being. Despite the implementation of various environmental regulations, the challenges of… Wiley

Bat Algorithm for Kernel Computation in Fractal Image Reconstruction
Authors: Gálvez, Akemi,Osaba, Eneko,Del Ser, Javier,Iglesias, Andrés
Computer reconstruction of digital images is an important problem in many areas such as image processing, computer vision, medical imaging, sensor systems, robotics, and many others. A very popular approach in that regard is the use of different kernels for various morphological image processing… Springer International Publishing

Unsupervised Neural Machine Translation, a new paradigm solely based on monolingual text
Authors: Artetxe, Mikel,Labaka Intxauspe, Gorka,Agirre Bengoa, Eneko
UnsupNMT is a project funded by the Spanish Ministry of Economy, Industry and Competitiveness (TIN2017-91692-EXP).
Sociedad Española para el Procesamiento del Lenguaje Natural

LIHLITH: Learning to Interact with Humans by Lifelong Interaction with Humans
Authors: Agirre Bengoa, Eneko,Otegi, Arantxa,Pradel, Camille,Rosset, Sophie,Peñas Padilla, Anselmo,Cieliebak, Mark
The LIHLITH project will research, innovate and validate a new lifelong learning framework for the interaction of humans and machines on specific domains with the aim of improving the quality of existing dialogue systems and lowering the cost of deployment in new domains. LILITH will develop… Sociedad Española para el Procesamiento del Lenguaje Natural

Dynamic Partitioning of Evolving Graph Streams Using Nature-Inspired Heuristics
Authors: Akemi Gálvez,Akemi Gálvez,Javier Del Ser,Andrés Iglesias,Andrés Iglesias,Eneko Osaba,Iztok Fister,Miren Nekane Bilbao
Detecting communities of interconnected nodes is a frequently addressed problem in situation that be modeled as a graph. A common practical example is this arising from Social Networks. Anyway, detecting an optimal partition in a network is an extremely complex and highly time-consuming task. This… Springer International Publishing

Cuckoo Search Algorithm for Border Reconstruction of Medical Images with Rational Curves
Authors: Gálvez, Akemi,Fister, Iztok,Fister, Iztok,Osaba, Eneko,Ser, Javier Del,Iglesias, Andrés
Border reconstruction is a key technology in medical image processing, where it is applied to identify and separate different tissues, organs, and tumors in diagnostic procedures. The classical approaches for this problem are based on either linear or polynomial functions to describe the border of… Springer International Publishing

Trophallaxis, Low-Power Vision Sensors and Multi-objective Heuristics for 3D Scene Reconstruction Using Swarm Robotics
Authors: Javier Sánchez-Cubillo,Eneko Osaba,Javier Del Ser,Miren Nekane Bilbao,Maria Carrillo
A profitable strand of literature has lately capitalized on the exploitation of the collaborative capabilities of robotic swarms for efficiently undertaking diverse tasks without any human intervention, ranging from the blind exploration of devastated areas after massive disasters to mechanical… Springer International Publishing

An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization
Authors: Ibai Roman,Roberto Santana,Alexander Mendiburu,Jose A. Lozano
Bayesian Optimization has been widely used along with Gaussian Processes for solving expensive-to-evaluate black-box optimization problems. Overall, this approach has shown good results, and particularly for parameter tuning of machine learning algorithms. Nonetheless, Bayesian Optimization has to… Institute of Electrical and Electronics Engineers (IEEE)

Hydrodynamic identification of NAUTILUS FOWT platform from small scale tests
Authors: Nava V.,Galvan J.,Sanchez-Lara M.,Garrido-Mendoza C.,Perez-Moran G.,Boulluec M. L.,Augier B.,Rodriguez-Arias R.
A small-scale tank test campaign of the NAUTILUS offshore wind floating semisub-mersible platform was held at the Ifremer Deep Water Basin within the framework of the MaRINET 2 project. The support structure consists in four stabilized columns on a square pontoon supporting a generic 8-MW wind… CRC Press/Balkema

Automatic Cardiac Rhythm Classification With Concurrent Manual Chest Compressions
Authors: Isasi, Iraia,Irusta, Unai,Rad, Ali Bahrami,Aramendi, Elisabete,Zabihi, Morteza,Eftestol, Trygve,Kramer-Johansen, Jo,Wik,Lars
Electrocardiogram (EKG) based classification of out-of-hospital cardiac arrest (OHCA) rhythms is important to guide treatment and to retrospectively elucidate the effects of therapy on patient response. OHCA rhythms are grouped into five categories: ventricular fibrillation (VF) and tachycardia (VT… Institute of Electrical and Electronics Engineers (IEEE)

Some Lower Bounds for Solutions of Schrödinger Evolutions
Authors: Agirre, Mikel,Vega, Luis
We present some lower bounds for regular solutions of Schr��dinger equations with bounded and time dependent complex potentials. Assuming that the solution has some positive mass at time zero within a ball of certain radius, we prove that this mass can be observed if one looks at the solution and… Society for Industrial & Applied Mathematics (SIAM)

Exploring Li-Ion Conductivity in Cubic, Tetragonal and Mixed-Phase Al-Substituted Li <sub>7</sub>La <sub>3</sub>Zr2O <sub>12</sub> Using Atomistic Simulations and Effective Medium Theory
Authors: Fabián A. García Daza,Elena Akhmatskaya,Elena Akhmatskaya,Javier Carrasco,Mauricio R. Bonilla
MINECO ENE2016-81020-R. SGI/IZO-SGIker UPV/EHU. the i2BASQUE academic network. Barcelona Supercomputer Center (QCM-2016-450 3-0002).
Elsevier BV