Publications

Displaying 126 - 150 of 1227

Publication	Date
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
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
Energy signature of ton TNT-class impacts: analysis of the 2018 December 22 fireball over Western Pyrenees Authors: Pierre Vernazza,J. Vaubaillon,Cyril Blanpain,D. A. Nedelcu,D. A. Nedelcu,E. Peña-Asensio,E. Peña-Asensio,Mar Tapia,Ricardo Hueso,Mirel Birlan,Mirel Birlan,Theresa Ott,Josep M. Trigo-Rodríguez,Agustín Sánchez-Lavega,S. Anghel,S. Anghel,S. Anghel,Esther… ABSTRACT The increase in detector sensitivity and availability in the past three decades has allowed us to derive knowledge of the meteoroid flux and impact energy into the Earth’s atmosphere. We present the multi-instrument detected 2018 December 22 fireball over Western Pyrenees,… Oxford University Press (OUP)	2021-10-18
Numerical Approaches for Loads and Motions Assessment of Floating WECs Moored by Means of Catenary Mooring Systems Authors: Imanol Touzon,Victor Petuya,Vincenzo Nava,Maria Alonso-Reig,Iñigo Mendikoa Technologies for harvesting offshore renewable energy based on floating platforms, such as offshore wind, wave and tidal energies, are currently being developed with the purpose of achieving a competitive cost of energy. The economic impact of the mooring system is significant within the total cost… Springer International Publishing	2021-10-14
Approximations for traveltime, slope, curvature, and geometric spreading of elastic waves in layered transversely isotropic media Authors: Abedi, Mohammad Mahdi,Pardo, David,Stovas, Alexey Each seismic body wave, including quasi-, P-, S-, and converted wave modes, carries useful subsurface information. For the processing, imaging, amplitude analysis, and forward modeling of each wave mode, we need approximate equations of the traveltime, slope (ray parameter), and curvature as a… Society of Exploration Geophysicists	2021-10-12
Jarduera fisikoaren, obesitatearen eta ezaugarri soziodemografikoen arteko erlazioa unibertsitateko langileetan Authors: Itxazne Garcia-Ceciaga,Ana María Valle,Inmaculada Arostegui,Jaime Zubero,Begoña Marina Jugo,Elena Diaz-Ereño Lan-ingurunean bizimodu osasungarriak sustatzea funtsezkoa da langileen osasuna eta autonomia ahalik eta ondoen mantentzeko. Gero eta interes handiagoa dago gehiegizko pisuaren, obesitatearen eta ohitura osasungarrien arteko erlazioa aztertzeko, bai eta jarduera fisikoa edo loaren iraupena eta… UPV/EHU Press	2021-10-07
Tidal volume measurements via transthoracic impedance waveform characteristics: The effect of age, body mass index and gender. A single centre interventional study Authors: Jo Kramer-Johansen,Tore Skålhegg,Unai Irusta,Elisabete Aramendi,Lars Wik,Per Olav Berve Measuring tidal volumes (TV) during bag-valve ventilation is challenging in the clinical setting. The ventilation waveform amplitude of the transthoracic impedance (TTI-amplitude) correlates well with TV for an individual, but poorer between patients. We hypothesized that TV to TTI-amplitude… Elsevier BV	2021-10-01
Wigner's friends, tunnelling times and Feynman's “only mystery of quantum mechanics” Authors: Sokolovsksi, D.,Akhmatskaya, E. Abstract Recent developments in elementary quantum mechanics have seen a number of extraordinary claims regarding quantum behaviour, and even questioning internal consistency of the theory. These are, we argue, different disguises of what Feynman described as quantum theory's “only… IOP Publishing	2021-10-01
Massive database generation for 2.5D borehole electromagnetic measurements using refined isogeometric analysis Authors: David Pardo,David Pardo,David Pardo,Ali Hashemian,Daniel Garcia,Jon Ander Rivera,Jon Ander Rivera Borehole resistivity measurements are routinely inverted in real-time during geosteering operations. The inversion process can be efficiently performed with the help of advanced artificial intelligence algorithms such as deep learning. These methods require a large dataset that relates multiple… Elsevier BV	2021-10-01
Recurrent Neural Networks to Predict the Outcome of Subsequent Defibrillation Shocks in Cardiac Arrest Authors: Xabier Jaureguibeitia,Gorka Zubia,Unai Irusta,Elisabete Aramendi,Giuseppe Ristagno IEEE	2021-09-13
Automated Detection of Pulse Using Continuous Invasive Arterial Blood Pressure in Patients During Cardiopulmonary Resuscitation Authors: Jon Urteaga,Andoni Elola,Elisabete Aramendi,Unai Irusta,Per Olav Berve,Lars Wik IEEE	2021-09-13
A Machine Learning-Based Pulse Detection Algorithm for Use During Cardiopulmonary Resuscitation Authors: Iraia Isasi,Erik Alonso,Unai Irusta,Elisabete Aramendi,Morteza Zabihi,Ali Bahrami Rad,Trygve Eftestol,Jo Kramer-Johansen,Lars Wik IEEE	2021-09-13
CURIE: a cellular automaton for concept drift detection Authors: Jesus L. Lobo,Javier Del Ser,Eneko Osaba,Albert Bifet,Francisco Herrera Data stream mining extracts information from large quantities of data flowing fast and continuously (data streams). They are usually affected by changes in the data distribution, giving rise to a phenomenon referred to as concept drift. Thus, learning models must detect and adapt to such changes,… Springer Science and Business Media LLC	2021-09-04
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking Authors: Osaba, E.,Del Ser, J.,Martínez, A.D.,Lobo, J.L.,Herrera, F. 31 pages, 4 figures, paper accepted for being published in Information Sciences journal Elsevier BV	2021-09-01
On the post-hoc explainability of deep echo state networks for time series forecasting, image and video classification Authors: Alejandro Barredo Arrieta,Sergio Gil-Lopez,Ibai Laña,Miren Nekane Bilbao,Javier Del Ser 22 pages, 9 figures, 3 tables. Currently under review Springer Science and Business Media LLC	2021-08-06
Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions Authors: Torre-Bastida, Ana I.,Díaz-de-Arcaya, Josu,Osaba, Eneko,Muhammad, Khan,Camacho, David,Del Ser, Javier This overview gravitates on research achievements that have recently emerged from the confluence between Big Data technologies and bio-inspired computation. A manifold of reasons can be identified for the profitable synergy between these two paradigms, all rooted on the adaptability, intelligence… Springer Science and Business Media LLC	2021-08-03
Shock decision algorithm for use during load distributing band cardiopulmonary resuscitation Authors: I. Isasi,U. Irusta,E. Aramendi,J.A. Olsen,L. Wik Chest compressions delivered by a load distributing band (LDB) induce artefacts in the electrocardiogram. These artefacts alter shock decisions in defibrillators. The aim of this study was to demonstrate the first reliable shock decision algorithm during LDB compressions.The study dataset comprised… Elsevier BV	2021-08-01
Refined isogeometric analysis for generalized Hermitian eigenproblems Authors: David Pardo,David Pardo,David Pardo,Ali Hashemian,Victor M. Calo,Victor M. Calo We use the refined isogeometric analysis (rIGA) to solve generalized Hermitian eigenproblems $({Ku=��Mu})$. The rIGA framework conserves the desirable properties of maximum-continuity isogeometric analysis (IGA) discretizations while reducing the computation cost of the solution through… Elsevier BV	2021-08-01