Publications

Displaying 201 - 225 of 1307

Publication	Date
Innovation Policies and Big Data: Opportunities and Challenges Authors: Miren Nekane Bilbao,Javier Del Ser,Eva Arrilucea,Javier Herrera Innovation policies are considered to be one of the main tools to turn innovation into wealth, well-being and competitiveness in territories worldwide. However, given the ever-growing data-centered ecosystem where such policies coexist nowadays there is a founded suspicion that traditional methods… IOS Press	2021-01-22
A simulation method for the computation of the effective P-wave velocity in heterogeneous rocks Authors: Julen Álvarez-Aramberri,Julen Álvarez-Aramberri,Angel Javier Omella,Carlos Santos,Magdalena Strugaru,David Pardo,David Pardo,David Pardo,Vincent Darrigrand,Hector González International audience Springer Science and Business Media LLC	2021-01-15
Error control and loss functions for the deep learning inversion of borehole resistivity measurements Authors: David Pardo,David Pardo,David Pardo,Javier Del Ser,Javier Del Ser,Jon Ander Rivera,Jon Ander Rivera,Carlos Torres-Verdín,Sebastián Ossandón,Artzai Picon,Victor M. Calo,Mostafa Shahriari AbstractDeep learning (DL) is a numerical method that approximates functions. Recently, its use has become attractive for the simulation and inversion of multiple problems in computational mechanics, including the inversion of borehole logging measurements for oil and gas applications. In this… Wiley	2021-01-04
Frequency domain modelling of a coupled system of floating structure and mooring Lines: An application to a wave energy converter Authors: Vincenzo Nava,Imanol Touzon,Victor Petuya,Zhen Gao Floating structures for single offshore renewable energy devices, i.e. wave energy converters, tend to be significantly smaller than those of the traditional offshore industry and the interaction between floater motions and mooring line dynamics become important. Installation sites are generally… Elsevier BV	2021-01-01
Autofluorescence Image Reconstruction and Virtual Staining for In-Vivo Optical Biopsying Authors: Artzai Picon,Alfonso Medela,Luisa F. Sanchez-Peralta,Riccardo Cicchi,Roberto Bilbao,Domenico Alfieri,Andoni Elola,Ben Glover,Cristina L. Saratxaga Modern photonic technologies are emerging, allowing the acquisition of in-vivo endoscopic tissue imaging at a microscopic scale, with characteristics comparable to traditional histological slides, and with a label-free modality. This raises the possibility of an 'optical biopsy' to aid clinical… Institute of Electrical and Electronics Engineers (IEEE)	2021-01-01
Sensitivity and uncertainty analysis by discontinuous Galerkin of lock-in thermography for crack characterization Authors: David Pardo,David Pardo,David Pardo,R. Celorrio,Angel Javier Omella,Angel Javier Omella This work focuses on the characterization of narrow vertical cracks of nite size using optically excited lock-in thermography (OLT). To characterize these cracks, we need to solve an ill-posed inverse problem. As a previous step to the solution of this inverse problem, we propose a sensitivity… Elsevier BV	2021-01-01
Dust particle size, shape and optical depth during the 2018/MY34 martian global dust storm retrieved by MSL Curiosity rover Navigation Cameras Authors: H. Chen-Chen,S. Pérez-Hoyos,A. Sánchez-Lavega Martian planet-encircling dust storms or global dust storms (GDS), resulting from the combined influence of local and regional storms, are uncommon aperiodic phenomena: with an average frequency of approximately one every 3-4 MY, they produce a substantial rise in the atmospheric dust loading that… Elsevier BV	2021-01-01
A DPG-based time-marching scheme for linear hyperbolic problems Authors: Judit Muñoz-Matute,David Pardo,David Pardo,David Pardo,Leszek Demkowicz The Discontinuous Petrov-Galerkin (DPG) method is a widely employed discretization method for Partial Di fferential Equations (PDEs). In a recent work, we applied the DPG method with optimal test functions for the time integration of transient parabolic PDEs. We showed that the resulting DPG-based… Elsevier BV	2021-01-01
A Probabilistic Model and Capturing Device for Remote Simultaneous Estimation of Spectral Emissivity and Temperature of Hot Emissive Materials Authors: Artzai Picon,Aitor Alvarez-Gila,Jose Antonio Arteche,Gabriel A. Lopez,Asier Vicente [EN] Estimating the temperature of hot emissive samples (e.g. liquid slag) in the context of harsh industrial environments such as steelmaking plants is a crucial yet challenging task, which is typically addressed by means of methods that require physical contact. Current remote methods require… Institute of Electrical and Electronics Engineers (IEEE)	2021-01-01
LUNAR: Cellular automata for drifting data streams Authors: Jesus L. Lobo,Javier Del Ser,Javier Del Ser,Francisco Herrera 36 pages, 6 figures, 4 tables Elsevier BV	2021-01-01
Framing Lifelong Learning as Autonomous Deployment: Tune Once Live Forever Authors: Agirre, Eneko, E.,Jonsson, Anders,Larcher, Anthony International audience Springer Singapore	2021-01-01
Rank Aggregation for Non-stationary Data Streams Authors: Aritz Pérez,Jesus L. Lobo,Javier Del Ser,Ekhine Irurozki,Ekhine Irurozki 23 pages Springer International Publishing	2021-01-01
Vibration-Based SHM Strategy for a Real Time Alert System with Damage Location and Quantification Authors: Diego Zamora-Sánchez,Jesús Díez-Hernández,Carlos Jiménez-Fernández,Ana Fernández-Navamuel,David Pardo,David Pardo,Tomás Varona-Poncela,David Garcia-Sanchez We present a simple and fully automatable vibration-based Structural Health Monitoring (SHM) alert system. The proposed method consists in applying an Automated Frequency Domain Decomposition (AFDD) algorithm to obtain the eigenfrequencies and mode shapes in real time from acceleration measurements… Springer International Publishing	2021-01-01
Detection of shockable rhythms using convolutional neural networks during chest compressions provided by a load distributing band Authors: Iraia Isasi,Jan-Åge Olsen,Lars Wik,Elisabete Aramendi,Unai Irusta Load Distributing Band (LDB) mechanical chest compression devices are used to treat out-of-hospital cardiac arrest (OHCA) patients. The artefacts that LDB chest compressions induce in the ECG impede a reliable shock/no-shock diagnosis, resulting in compression interruptions to analyze the ECG. The… Computing in Cardiology	2020-12-30
An Impedance-based Algorithm to Detect Ventilations During Cardiopulmonary Resuscitation Authors: Ahamed H. Idris,Elisabete Aramendi,He Wang,Xabier Jaureguibeitia,Unai Irusta Cardiopulmonary resuscitation (CPR) is a core therapy to treat out-of-hospital cardiac arrest (OHCA). Thoracic impedance (TI) can be used to assess ventilations during CPR, but the signal is also affected by chest compression (CC) artifacts. This study presents a method for TI-based ventilation… Computing in Cardiology	2020-12-30
Multimodal Biosignal Analysis Algorithm for the Classification of Cardiac Rhythms During Resuscitation Authors: Lasea, Haizea,Irusta, Unai,Eftestøl, Trygve Christian,Aramendi, Elisabete,Rad, Ali Bahrami,Kramer-Johansen, Jo,Wik, Lars Monitoring the heart rhythm during out-of-hospital cardiac arrest (OHCA) is important to improve treatment quality. OHCA rhythms fall into five categories: asystole (AS), pulseless electrical activity (PEA), pulse-generating rhythms (PR), ventricular fibrillation (VF) and ventricular tachycardia (… Computing in Cardiology	2020-12-30
A Probabilistic Function to Model the Relationship between Quality of Chest Compressions and the Physiological Response for Patients in Cardiac Arrest Authors: Eftestøl, Trygve Christian,Stokka, Svein Erik,Kvaløy, Jan Terje,Rad, Ali Bahrami,Irusta, Unai,Aramendi, Elisabete,Alonso, Erik,Nordseth, Trond,Skogvoll, Eirik,Wik, Lars,Kramer-Johansen, Jo Cardiopulmonary resuscitation quality (CPRQ) parameters can be derived from electric signals obtained during resuscitation. We propose to model a probabilistic relationship between CPRQ parameters and the physiological response as judged by ECG-features, to guide therapy in a clinical context. A… Computing in Cardiology	2020-12-30
A Method to Detect Pauses for Ventilation During Cardiopulmonary Resuscitation Using the Thoracic Impedance Authors: Unai Irusta,Elisabete Aramendi,Ahamed H. Idris,Enrique Rueda Cardiac arrest is the main cause of death in developed countries. A good quality cardiopulmonary resuscitation (CPR) is key for the survival of the patient in out-of-hospital cardiac arrest (OHCA), including chest compressions (CCs) and ventilations. Ventilations have been proven to have an… Computing in Cardiology	2020-12-30
Stationary Wavelet Transform for Extraction of the Impedance Circulation Component During Out-of-hospital Cardiac Arrest Authors: Iraia Isasi,Elisabete Aramendi,Unai Irusta,Erik Alonso,Mohamud Daya An automated pulse detector during out-of-hospital cardiac arrest (OHCA) is needed. The thoracic impedance (TI) recorded through defibrillation pads presents an impedance circulation component (ICC), hidden among other components, in the form of small fluctuations correlated with each effective… Computing in Cardiology	2020-12-30
Identifying common treatments from Electronic Health Records with missing information. An application to breast cancer Authors: Onintze Zaballa,Aritz Pérez,Teresa Acaiturri Ayesta,Jose A. Lozano,Jose A. Lozano,Elisa Gómez Inhiesto The aim of this paper is to analyze the sequence of actions in the health system associated with a particular disease. In order to do that, using Electronic Health Records, we define a general methodology that allows us to: (i) identify the actions in the health system associated with a disease; (… Public Library of Science (PLoS)	2020-12-29
Mutual information based feature subset selection in multivariate time series classification Authors: Josu Ircio,Aizea Lojo,Usue Mori,Jose A. Lozano,Jose A. Lozano Grant agreement no. KK-2019/00095 IT1244-19 TIN2016-78365-R PID2019-104966GB-I00 Elsevier BV	2020-12-01
Cross-environment activity recognition using word embeddings for sensor and activity representation Authors: Aitor Almeida,Gorka Azkune,Eneko Agirre Abstract Cross-environment activity recognition in smart homes is a very challenging problem, specially for data-driven approaches. Currently, systems developed to work for a certain environment degrade substantially when applied to a new environment, where not only sensors, but also the… Elsevier BV	2020-12-01
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities Authors: Salvador García,Javier Del Ser,Lior Rokach,Francisco Herrera,Sergio González Abstract Ensembles, especially ensembles of decision trees, are one of the most popular and successful techniques in machine learning. Recently, the number of ensemble-based proposals has grown steadily. Therefore, it is necessary to identify which are the appropriate algorithms for a certain… Elsevier BV	2020-12-01
FRIPON: a worldwide network to track incoming meteoroids Authors: Zouhair Benkhaldoun,Hadrien A. R. Devillepoix,A. Pagola,Ruggero Stanga,M. Jobin,S. Cointin,B. Grouiez,P. Volpini,B. Caillier,A. Calegaro,A. Calegaro,M. D’Elia,E. Mandon,L. Luciani,E. Huet,C. Nablanc,M. K. Kwon,P. Rougier,P. Le Dû,J. Galard,Enrico Cascone… Context.Until recently, camera networks designed for monitoring fireballs worldwide were not fully automated, implying that in case of a meteorite fall, the recovery campaign was rarely immediate. This was an important limiting factor as the most fragile – hence precious – meteorites must be… EDP Sciences	2020-12-01
Vision-based personalized Wireless Capsule Endoscopy for smart healthcare: Taxonomy, literature review, opportunities and challenges Authors: Muhammad, Khan,Khan, Salman,Kumar, Neeraj,Del Ser, Javier,Mirjalili, Seyedali Abstract Wireless Capsule Endoscopy (WCE) is a patient-friendly approach for digestive tract monitoring to support medical experts towards identifying any anomaly inside human’s Gastrointestinal (GI) tract. The automatic recognition of such type of abnormalities is essential for early diagnosis… Elsevier BV	2020-12-01