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Publications

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A painless multi-level automatic goal-oriented hp-adaptive coarsening strategy for elliptic and non-elliptic problems
Authors: Felipe V. Caro,Vincent Darrigrand,Julen Alvarez-Aramberri,Elisabete Alberdi,David Pardo
Elsevier BV

Jointly optimized ensemble deep random vector functional link network for semi-supervised classification
Authors: Qiushi Shi,Ponnuthurai Nagaratnam Suganthan,Javier Del Ser
Randomized neural networks have become more and more attractive recently since they use closed-form solutions for parameter training instead of gradient-based approaches. Among them, the random vector functional link network (RVFL) and its deeper version ensemble deep random vector functional link… Elsevier BV

On the interfacial lithium dynamics in Li7La3Zr2O12:poly(ethylene oxide) (LiTFSI) composite polymer-ceramic solid electrolytes under strong polymer phase confinement
Authors: Rincón, M.,Cortés, H.E.,Carrasco, J.,Akhmatskaya, E.,Garcia, F.
A better molecular-level understanding of Li+ diffusion through ceramic/polymer interfaces is key to designing high-performance composite solid-state electrolytes for all-solid-state batteries. By considering as a case study a composite electrolyte constituted by Li+ conductive Ga3+ doped-… Elsevier BV

Group’n Route: An Edge Learning-Based Clustering and Efficient Routing Scheme Leveraging Social Strength for the Internet of Vehicles
Authors: Naercio Magaia,Pedro Ferreira,Paulo Rogerio Pereira,Khan Muhammad,Javier Del Ser,Victor Hugo C. de Albuquerque
The Internet of Vehicles (IoV) is undoubtedly at the core of the future of intelligent transportation. It will prevail over the road ecosystem, and it will have a huge impact on our lives throughout the provision of seamless connectivity among diverse transportation means. For the network to… Institute of Electrical and Electronics Engineers (IEEE)

EDA++: Estimation of Distribution Algorithms With Feasibility Conserving Mechanisms for Constrained Continuous Optimization
Authors: Abolfazl Shirazi,Josu Ceberio,Jose A. Lozano
Handling non-linear constraints in continuous optimization is challenging, and finding a feasible solution is usually a difficult task. In the past few decades, various techniques have been developed to deal with linear and non-linear constraints. However, reaching feasible solutions has been a… Institute of Electrical and Electronics Engineers (IEEE)

How regulating and cultural services of ecosystems have changed over time in Italy
Authors: Alessio Capriolo,Riccardo Giuseppe Boschetto,Rosa Anna Mascolo,Alessio Bulckaen,Stefano Balbi,Ferdinando Villla
In this experimental study, different components are computed for three different ecosystem services (ES). Specifically, supply, demand and use are estimated for pollination service, flood risk regulation service and nature-based tourism. These are analysed and assessed in 2012 and 2018 for the… Pensoft Publishers

Refined isogeometric analysis of quadratic eigenvalue problems
Authors: Hashemian, Ali,Garcia, Daniel,Pardo, David,Calo, Victor M.
Certain applications that analyze damping effects require the solution of quadratic eigenvalue problems (QEPs). We use refined isogeometric analysis (rIGA) to solve quadratic eigenproblems. rIGA discretization, while conserving desirable properties of maximum-continuity isogeometric analysis (IGA… Elsevier BV

Time series classifier recommendation by a meta-learning approach
Authors: A. Abanda,U. Mori,Jose A. Lozano
This work addresses time series classifier recommendation for the first time in the literature by considering several recommendation forms or meta-targets: classifier accuracies, complete ranking, top-M ranking, best set and best classifier. For this, an ad-hoc set of quick estimators of the… Elsevier BV

Numerical Regge pole analysis of resonance structures in state-to-state reactive differential cross sections
Authors: Elena Akhmatskaya,Dmitri Sokolovski
This is the third (and the last) code in a collection of three programs [Sokolovski et al (2011), Akhmatskaya et al (2014)] dedicated to the analysis of numerical data, obtained in an accurate simulation of an atom-diatom chemical reaction. Our purpose is to provide a detailed description of a… Elsevier BV

Convective storms in closed cyclones in Jupiter's South Temperate Belt: (I) observations
Authors: Hueso, Ricardo,Iñurrigarro, Peio,Sánchez-Lavega, Agustín,Foster, Clyde R.,Rogers, John H.,Orton, Glenn S.,Hansen, Candice,Eichstädt, Gerald,Ordonez-Etxeberria, Inaki,Rojas, Jose Felix,Brueshaber, Shawn R.,Sanz-Requena, Jose Francisco,Pérez-Hoyos,…
On May 31, 2020 a short-lived convective storm appeared in one of the small cyclones of Jupiter's South Temperate Belt (STB) at planetographic latitude 30.8S. The outbreak was captured by amateur astronomer Clyde Foster in methane-band images, became widely known as Clyde's Spot, and was imaged at… Elsevier BV

Airway strategy and ventilation rates in the pragmatic airway resuscitation trial
Authors: Henry E, Wang,Xabier, Jaureguibeitia,Elisabete, Aramendi,Graham, Nichol,Tom, Aufderheide,Mohamud R, Daya,Matthew, Hansen,Michelle, Nassal,Ashish R, Panchal,Dhimitri A, Nikolla,Erik, Alonso,Jestin, Carlson,Robert H, Schmicker,Shannon W, Stephens,Unai,…
We sought to describe ventilation rates during out-of-hospital cardiac arrest (OHCA) resuscitation and their associations with airway management strategy and outcomes.We analyzed continuous end-tidal carbon dioxide capnography data from adult OHCA enrolled in the Pragmatic Airway Resuscitation… Elsevier BV

Deep Learning for Road Traffic Forecasting: Does it Make a Difference?
Authors: Eric L. Manibardo,Ibai Lana,Javier Del Ser
25 pages, 7 figures, 2 tables
Institute of Electrical and Electronics Engineers (IEEE)

Pulseless electrical activity in in-hospital cardiac arrest – A crossroad for decisions
Authors: Norvik, A.,Unneland, E.,Bergum, D.,Buckler, D.G.,Bhardwaj, A.,Eftestøl, T.,Aramendi Ecenarro, Elisabete,Nordseth, T.,Abella, B.S.,Kvaløy, J.T.,Skogvoll, E.
PEA is often seen during resuscitation, either as the presenting clinical state in cardiac arrest or as a secondary rhythm following transient return of spontaneous circulation (ROSC), ventricular fibrillation/tachycardia (VF/VT), or asystole (ASY). The aim of this study was to explore and quantify… Elsevier BV

Human Short Long-Term Cognitive Memory Mechanism for Visual Monitoring in IoT-Assisted Smart Cities
Authors: Shuai Wang,Xinyu Liu,Shuai Liu,Khan Muhammad,Ali Asghar Heidari,Javier Del Ser,Victor Hugo C. de Albuquerque
In the Industry 4.0 era, the visualization and real-time automatic monitoring of smart cities supported by the Internet of Things is becoming increasingly important. The use of filtering algorithms in smart city monitoring is a feasible method for this purpose. However, maintaining fast and… Institute of Electrical and Electronics Engineers (IEEE)

Vessel-GAN: Angiographic reconstructions from myocardial CT perfusion with explainable generative adversarial networks
Authors: Chulin Wu,Heye Zhang,Jiaqi Chen,Zhifan Gao,Pengfei Zhang,Khan Muhammad,Javier Del Ser
Elsevier BV

Technology-Agnostic Assessment of Wave Energy System Capabilities
Authors: Pablo Ruiz-Minguela,Jesus M. Blanco,Vincenzo Nava,Henry Jeffrey
Developing new wave energy technologies is risky, costly and time-consuming. The large diversity of concepts, components and evaluation criteria creates a vast design space of potentially feasible solutions. This paper aims to introduce a novel methodology for the holistic assessment of wave energy… MDPI AG

On quadrature rules for solving Partial Differential Equations using Neural Networks
Authors: Rivera, Jon A.,Taylor, Jamie M.,Omella, Ángel J.,Pardo, David
Neural Networks have been widely used to solve Partial Differential Equations. These methods require to approximate definite integrals using quadrature rules. Here, we illustrate via 1D numerical examples the quadrature problems that may arise in these applications and propose different… Elsevier BV

Predictive Maintenance of Floating Offshore Wind Turbine Mooring Lines using Deep Neural Networks
Authors: Gorostidi, N.,Nava, V.,Aristondo, A.,Pardo, D.
Abstract The recent massive deployment of onshore wind farms has caused controversy to arise mainly around the issues of land occupation, noise and visual pollution and impact on wildlife. Fixed offshore turbines, albeit beneficial in those aspects, become economically unfeasible… IOP Publishing

Supervised Deep Learning with Finite Element simulations for damage identification in bridges
Authors: Ana Fernandez-Navamuel,Diego Zamora-Sánchez,Ángel J. Omella,David Pardo,David Garcia-Sanchez,Filipe Magalhães
This work proposes a supervised Deep Learning approach for damage identification in bridge structures. We employ a hybrid methodology that incorporates Finite Element simulations to enrich the training phase of a Deep Neural Network with synthetic damage scenarios. The neural network is based on… Elsevier BV

Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning
Authors: Aritz D. Martinez,Javier Del Ser,Eneko Osaba,Francisco Herrera
Evolutionary computation has largely exhibited its potential to complement conventional learning algorithms in a variety of Machine Learning tasks, especially those related to unsupervised (clustering) and supervised learning. It has not been until lately when the computational efficiency of… Institute of Electrical and Electronics Engineers (IEEE)

Analysis of Few-Shot Techniques for Fungal Plant Disease Classification and Evaluation of Clustering Capabilities Over Real Datasets
Authors: Itziar Egusquiza,Itziar Egusquiza,Artzai Picon,Artzai Picon,Unai Irusta,Arantza Bereciartua-Perez,Till Eggers,Christian Klukas,Elisabete Aramendi,Ramon Navarra-Mestre
Plant fungal diseases are one of the most important causes of crop yield losses. Therefore, plant disease identification algorithms have been seen as a useful tool to detect them at early stages to mitigate their effects. Although deep-learning based algorithms can achieve high detection accuracies… Frontiers Media SA

Exploiting the Kronecker product structure of φ−functions in exponential integrators
Authors: Muñoz‐Matute, Judit,Pardo, David,Calo, Victor M.
AbstractExponential time integrators are well‐established discretization methods for time semilinear systems of ordinary differential equations. These methods use functions, which are matrix functions related to the exponential. This work introduces an algorithm to speed up the computation of the… Wiley

A Finite Element based Deep Learning solver for parametric PDEs
Authors: Uriarte, Carlos,Pardo, David,Omella, Ángel Javier
We introduce a dynamic Deep Learning (DL) architecture based on the Finite Element Method (FEM) to solve linear parametric Partial Differential Equations(PDEs). The connections between neurons in the architecture mimic the Finite Element connectivity graph when applying mesh refinements. We select… Elsevier BV

Information retrieval and question answering: A case study on COVID-19 scientific literature
Authors: Arantxa Otegi,Iñaki San Vicente,Xabier Saralegi,Anselmo Peñas,Borja Lozano,Eneko Agirre
Biosanitary experts around the world are directing their efforts towards the study of COVID-19. This effort generates a large volume of scientific publications at a speed that makes the effective acquisition of new knowledge difficult. Therefore, Information Systems are needed to assist biosanitary… Elsevier BV

NATURE- AND BIO-INSPIRED OPTIMIZATION: THE GOOD, THE BAD, THE UGLY AND THE HOPEFUL
Authors: Daniel Molina Cabrera,JAVIER POYATOS AMADOR,ENEKO OSABA ICEDO,JAVIER DEL SER LORENTE,FRANCISCO HERRERA TRIGUERO
Nowadays, optimization has become an important issue for industrial systems and product development. From an engineering perspective, optimization implies adjusting or fine tuning the design of the system considering performance factors. Unfortunately, in many real-world problems there are no… UK Zhende Publishing Limited Company