Publications

Displaying 126 - 150 of 1307

Publication	Date
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	2022-03-01
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	2022-03-01
Physiological effects of providing supplemental air for avalanche victims. A randomised trial Authors: Lars, Wik,Guttorm, Brattebø,Øyvind, Østerås,Jörg, Assmus,Unai, Irusta,Elisabete, Aramendi,Sigurd, Mydske,Tore, Skaalhegg,Sven Christjar, Skaiaa,Øyvind, Thomassen Survival from avalanche burial is dependent on time to extraction, breathing ability, air pocket oxygen content, and avoiding rebreathing of carbon dioxide (COA prospective randomized crossover experimental field study enrolled 20 healthy subjects in Hemsedal, Norway in March 2019. Subjects… Elsevier BV	2022-03-01
Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives Authors: J. Del Ser,D. Casillas-Perez,L. Cornejo-Bueno,L. Prieto-Godino,J. Sanz-Justo,C. Casanova-Mateo,S. Salcedo-Sanz 88 pages, 14 figures, 12 tables. Under review Elsevier BV	2022-03-01
A novel approach for the detection of anomalous energy consumption patterns in industrial cyber‐physical systems Authors: Izaskun Mendia,Sergio Gil‐Lopez,Iñaki Grau,Javier Del Ser AbstractMost scenarios emerging from the Industry 4.0 paradigm rely on the concept of cyber‐physical production systems (CPPS), which allow them to synergistically connect physical to digital setups so as to integrate them over all stages of product development. Unfortunately, endowing CPPS with AI… Wiley	2022-02-25
The global environmental agenda urgently needs a semantic web of knowledge Authors: Stefano Balbi,Kenneth J. Bagstad,Ainhoa Magrach,Maria Jose Sanz,Naikoa Aguilar-Amuchastegui,Carlo Giupponi,Ferdinando Villa AbstractProgress in key social-ecological challenges of the global environmental agenda (e.g., climate change, biodiversity conservation, Sustainable Development Goals) is hampered by a lack of integration and synthesis of existing scientific evidence. Facing a fast-increasing volume of data,… Springer Science and Business Media LLC	2022-02-17
A deep learning approach to design a borehole instrument for geosteering Authors: M. Shahriari,A. Hazra,D. Pardo Deep neural network (DNN)-based methods are suitable for the rapid inversion of borehole resistivity measurements. They approximate the forward and the inverse problem offline during the training phase, and they only require a fraction of a second for the online evaluation (aka prediction). Herein… Society of Exploration Geophysicists	2022-02-16
Integrated modelling of social-ecological systems for climate change adaptation Authors: Giupponi, Carlo,Ausseil, Anne-Gaelle,Balbi, Stefano,Cian, Fabio,Fekete, Alexander,Gain, Animesh K.,Essenfelder, Arthur Hrast,Martínez-López, Javier,Mojtahed, Vahid,Norf, Celia,Relvas, Hélder,Villa, Ferdinando Analysis of climate change risks in support of policymakers to set effective adaptation policies requires an innovative yet rigorous approach towards integrated modelling (IM) of social-ecological systems (SES). Despite continuous advances, IM still faces various challenges that span through both… Wageningen University and Research	2022-01-31
Energy-Aware Multi-Objective Job Shop Scheduling Optimization with Metaheuristics in Manufacturing Industries: A Critical Survey, Results, and Perspectives Authors: Jesus Para,Javier Del Ser,Antonio J. Nebro In recent years, the application of artificial intelligence has been revolutionizing the manufacturing industry, becoming one of the key pillars of what has been called Industry 4.0. In this context, we focus on the job shop scheduling problem (JSP), which aims at productions orders to be carried… MDPI AG	2022-01-29
Deep learning enhanced principal component analysis for structural health monitoring Authors: Fernandez-Navamuel, Ana,Magalhães, Filipe,Zamora-Sánchez, Diego,Omella, Ángel J,Garcia-Sanchez, David,Pardo, David This paper proposes a Deep Learning Enhanced Principal Component Analysis (PCA) approach for outlier detection to assess the structural condition of bridges. We employ partially explainable autoencoder architecture to replicate and enhance the data compression and reconstruction ability of PCA.… SAGE Publications	2022-01-18
From storms to cyclones at Jupiter’s poles Authors: Agustín Sánchez-Lavega Springer Science and Business Media LLC	2022-01-10
R-Adaptive Deep Learning Method for Solving Partial Differential Equations Authors: Ángel J. Omella,David Pardo 19 pages Elsevier BV	2022-01-01
Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization Authors: Mario Martínez-García,Susana García-Gutierrez,Rubén Armañanzas,Adrián Díaz,Iñaki Inza,Jose A. Lozano This research is supported by the Basque Government (IT1504- 22, Elkartek) through the BERC 2022–2025 program and BMTF project, and by the Ministry of Science, Innovation and Universities: BCAM Severo Ochoa accreditation SEV-2017-0718 and PID2019-104966GB-I00. Furthermore, the work is also… Springer International Publishing	2022-01-01
2.5-D Deep Learning Inversion of LWD and Deep-Sensing EM Measurements Across Formations With Dipping Faults Authors: Kyubo Noh,David Pardo,Carlos Torres-Verdin Deep learning (DL) inversion of induction logging measurements is used in well geosteering for real-time imaging of the distribution of subsurface electrical conductivity. We develop a DL inversion workflow to solve 2.5-D inverse problems arising in well geosteering. The inversion workflow employs… Institute of Electrical and Electronics Engineers (IEEE)	2022-01-01
A Multidirectional Deep Neural Network for Self-Supervised Reconstruction of Seismic Data Authors: Mohammad Mahdi Abedi,David Pardo Seismic studies exhibit gaps in the recorded data due to surface obstacles. To fill in the gaps with self-supervised deep learning, the network learns to predict different events from the recorded parts of data and then applies it to reconstruct the missing parts of the same dataset. We propose two… Institute of Electrical and Electronics Engineers (IEEE)	2022-01-01
1D Painless Multi-level Automatic Goal-Oriented h and p Adaptive Strategies Using a Pseudo-Dual Operator Authors: Felipe Vinicio Caro,Vincent Darrigrand,Julen Alvarez-Aramberri,Elisabete Alberdi Celaya,David Pardo The main idea of our Goal-Oriented Adaptive (GOA) strategy is based on performing global and uniform h- or p-refinements (for h- and p-adaptivity, respectively) followed by a coarsening step, where some basis functions are removed according to their estimated importance. Many Goal-Oriented Adaptive… Springer International Publishing	2022-01-01
r-Adaptive deep learning method for solving partial differential equations Authors: Ángel J. Omella,David Pardo 19 pages Elsevier BV	2022-01-01
The association of race with CPR quality following out-of-hospital cardiac arrest Authors: Robert H, Schmicker,Audrey, Blewer,Joshua R, Lupton,Tom P, Aufderheide,Henry E, Wang,Ahamed H, Idris,Elisabete, Aramendi,Mohamed B, Hagahmed,Owen T, Traynor,M Riccardo, Colella,Mohamud R, Daya Previous studies have shown racial disparities in outcomes after out-of-hospital cardiac arrest. Although several treatment factors may account for these differences, there is limited information regarding differences in CPR quality and its effect on survival in underrepresented racial populations.… Elsevier BV	2022-01-01
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms Authors: Antonio LaTorre,Daniel Molina,Eneko Osaba,Javier Poyatos,Javier Del Ser,Francisco Herrera Bio-inspired optimization (including Evolutionary Computation and Swarm Intelligence) is a growing research topic with many competitive bio-inspired algorithms being proposed every year. In such an active area, preparing a successful proposal of a new bio-inspired algorithm is not an easy task.… Elsevier BV	2021-12-01
Merge Nondominated Sorting Algorithm for Many-Objective Optimization Authors: Javier Moreno,Daniel Rodriguez,Antonio J. Nebro,Jose A. Lozano Many Pareto-based multi-objective evolutionary algorithms require to rank the solutions of the population in each iteration according to the dominance principle, what can become a costly operation particularly in the case of dealing with many-objective optimization problems. In this paper, we… Institute of Electrical and Electronics Engineers (IEEE)	2021-12-01
Towards zero-shot cross-lingual named entity disambiguation Authors: Barrena Madinabeitia, Ander,Soroa Echave, Aitor,Agirre Bengoa, Eneko [EN]In cross-Lingual Named Entity Disambiguation (XNED) the task is to link Named Entity mentions in text in some native language to English entities in a knowledge graph. XNED systems usually require training data for each native language, limiting their application for low resource languages with… Elsevier BV	2021-12-01
Methodology and framework for the analysis of cardiopulmonary resuscitation quality in large and heterogeneous cardiac arrest datasets Authors: Matthew Hansen,Elisabete Aramendi,Tom P. Aufderheide,Ahamed H. Idris,Xabier Jaureguibeitia,Jestin N. Carlson,Jestin N. Carlson,Robert H. Schmicker,Unai Irusta,Erik Alonso,Henry E. Wang,Robert Suchting Out-of-hospital cardiac arrest (OHCA) data debriefing and clinical research often require the retrospective analysis of large datasets containing defibrillator files from different vendors and clinical annotations by the emergency medical services.To introduce and evaluate a methodology to… Elsevier BV	2021-11-01
Novel application of thoracic impedance to characterize ventilations during cardiopulmonary resuscitation in the pragmatic airway resuscitation trial Authors: Michelle M.J. Nassal,Xabier Jaureguibeitia,Elisabete Aramendi,Unai Irusta,Ashish R. Panchal,Henry E. Wang,Ahamed Idris Significant challenges exist in measuring ventilation quality during out-of-hospital cardiopulmonary arrest (OHCA) outcomes. Since ventilation is associated with outcomes in cardiac arrest, tools that objectively describe ventilation dynamics are needed. We sought to characterize thoracic impedance… Elsevier BV	2021-11-01
Adaptive Dendritic Cell-Deep Learning Approach for Industrial Prognosis Under Changing Conditions Authors: Alberto Diez-Olivan,Patxi Ortego,Javier Del Ser,Itziar Landa-Torres,Diego Galar,David Camacho,Basilio Sierra Industrial prognosis refers to the prediction of failures of an industrial asset based on data collected by Internet of Things sensors. Prognostic models can experience the undesired effects of concept drift, namely, the presence of nonstationary phenomena that affects the data collected over time… Institute of Electrical and Electronics Engineers (IEEE)	2021-11-01
Vertical Distribution of Aerosols and Hazes Over Jupiter's Great Red Spot and Its Surroundings in 2016 From HST/WFC3 Imaging Authors: Santiago Pérez-Hoyos,José Francisco Sanz-Requena,José Francisco Sanz-Requena,Asier Anguiano-Arteaga,Patrick G. J. Irwin,Agustín Sánchez-Lavega AbstractIn this work, we have analyzed images provided by the Hubble Space Telescope's Wide Field Camera 3 (HST/WFC3) in December 2016, with a spectral coverage from the ultraviolet to the near infrared. We have obtained the spectral reflectivity of the GRS and its surroundings, with particular… American Geophysical Union (AGU)	2021-10-28