Publications

Displaying 51 - 75 of 1307

Publication	Date
Multimodal variational autoencoder for inverse problems in geophysics: application to a 1-D magnetotelluric problem Authors: Oscar Rodriguez,Jamie M Taylor,David Pardo SUMMARY Estimating subsurface properties from geophysical measurements is a common inverse problem. Several Bayesian methods currently aim to find the solution to a geophysical inverse problem and quantify its uncertainty. However, most geophysical applications exhibit more than one… Oxford University Press (OUP)	2023-09-18
Recent Advances in Natural Language Processing via Large Pre-trained Language Models: A Survey Authors: Bonan Min,Hayley Ross,Elior Sulem,Amir Pouran Ben Veyseh,Thien Huu Nguyen,Oscar Sainz,Eneko Agirre,Ilana Heintz,Dan Roth Large, pre-trained language models (PLMs) such as BERT and GPT have drastically changed the Natural Language Processing (NLP) field. For numerous NLP tasks, approaches leveraging PLMs have achieved state-of-the-art performance. The key idea is to learn a generic, latent representation of language… Association for Computing Machinery (ACM)	2023-09-14
Successful innovation strategies to overcome the technical challenges in the development of wave energy technologies Authors: Pablo Ruiz-Minguela,Jesús María Blanco,Vincenzo Nava Despite the considerable efforts the international research community has made over the last decades, wave energy technologies have failed to achieve the desired design convergence to support their future market growth. Many technical challenges remain unresolved, leading to high costs of energy in… European Wave and Tidal Energy Conference	2023-09-02
Selective Imputation for Multivariate Time Series Datasets With Missing Values Authors: Ane Blázquez-García,Kristoffer Wickstrøm,Shujian Yu,Karl Øyvind Mikalsen,Ahcène Boubekki,Angel Conde,Usue Mori,Robert Jenssen,Jose A. Lozano Multivariate time series often contain missing values for reasons such as failures in data collection mechanisms. Since these missing values can complicate the analysis of time series data, imputation techniques are typically used to deal with this issue. However, the quality of the imputation… Institute of Electrical and Electronics Engineers (IEEE)	2023-09-01
Monitoring chest compressions using finger photoplethysmography in out-of-hospital cardiac arrest Authors: Jon Urteaga,Elisabete Aramendi,Andoni Elola,Mohamud R. Daya,Ahamed H. Idris Quality cardiopulmonary resuscitation (CPR) is crucial to increase the probability of survival during out-of-hospital cardiac arrest (OHCA). Continuous chest compressions (CCs) provided with appropriate rate are recommended by the guidelines. Currently, defibrillators and monitors may integrate… Elsevier BV	2023-09-01
Amplitude spectral area of ventricular fibrillation and defibrillation success at low energy in out-of-hospital cardiac arrest Authors: Francesca R. Gentile,Lars Wik,Iraia Isasi,Enrico Baldi,Elisabete Aramendi,Jon Erik Steen-Hansen,Alessandro Fasolino,Sara Compagnoni,Enrico Contri,Alessandra Palo,Roberto Primi,Sara Bendotti,Alessia Currao,Federico Quilico,Luca Vicini Scajola,Clara… The optimal energy for defibrillation has not yet been identified and very often the maximum energy is delivered. We sought to assess whether amplitude spectral area (AMSA) of ventricular fibrillation (VF) could predict low energy level defibrillation success in out-of-hospital cardiac arrest (OHCA… Springer Science and Business Media LLC	2023-08-09
A Graph-Based Methodology for the Sensorless Estimation of Road Traffic Profiles Authors: Eric L. Manibardo,Ibai Laña,Esther Villar-Rodriguez,Javier Del Ser Traffic forecasting models rely on data that needs to be sensed, processed, and stored. This requires the deployment and maintenance of traffic sensing infrastructure, often leading to unaffordable monetary costs. The lack of sensed locations can be complemented with synthetic data simulations that… Institute of Electrical and Electronics Engineers (IEEE)	2023-08-01
Beyond Heart Murmur Detection: Automatic Murmur Grading From Phonocardiogram Authors: Andoni Elola,Elisabete Aramendi,Jorge Oliveira,Francesco Renna,Miguel T. Coimbra,Matthew A. Reyna,Reza Sameni,Gari D. Clifford,Ali Bahrami Rad Objective: Murmurs are abnormal heart sounds, identified by experts through cardiac auscultation. The murmur grade, a quantitative measure of the murmur intensity, is strongly correlated with the patient's clinical condition. This work aims to estimate each patient's murmur grade (i.e., absent,… Institute of Electrical and Electronics Engineers (IEEE)	2023-08-01
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification Authors: Roberto Santana,Iván Hidago-Cenalmor,Unai Garciarena,Alexander Mendiburu,Jose Antonio Lozano In some machine learning applications the availability of labeled instances for supervised classification is limited while unlabeled instances are abundant. Semi-supervised learning algorithms deal with these scenarios and attempt to exploit the information contained in the unlabeled examples. In… ACM	2023-07-15
Online Pentane Concentration Prediction System Based on Machine Learning Techniques Authors: Diana Manjarrés,Erik Maqueda,Itziar Landa-Torres Industry 4.0 has emerged together with relevant technological tools that have enabled the rise of this new industrial paradigm. One of the main employed tools is Machine Learning techniques, which allow us to extract knowledge from raw data and, therefore, devise intelligent strategies or systems… MDPI AG	2023-07-12
On the Use of Second Order Neighbors to Escape from Local Optima Authors: Manuel Torralbo,Leticia Hernando,Ernesto Contreras-Torres,Jose A. Lozano ACM	2023-07-12
New Knowledge about the Elementary Landscape Decomposition for Solving the Quadratic Assignment Problem Authors: Xabier Benavides,Josu Ceberio,Leticia Hernando,Jose Antonio Lozano Previous works have shown that studying the characteristics of the Quadratic Assignment Problem (QAP) is a crucial step in gaining knowledge that can be used to design tailored meta-heuristic algorithms. One way to analyze the characteristics of the QAP is to decompose its objective function into a… ACM	2023-07-12
Deep learning for understanding multilabel imbalanced Chest X-ray datasets Authors: Helena Liz,Javier Huertas-Tato,Manuel Sánchez-Montañés,Javier Del Ser,David Camacho Over the last few years, convolutional neural networks (CNNs) have dominated the field of computer vision thanks to their ability to extract features and their outstanding performance in classification problems, for example in the automatic analysis of X-rays. Unfortunately, these neural networks… Elsevier BV	2023-07-01
Increased top-down semantic processing in natural speech linked to better reading in dyslexia Authors: Anastasia Klimovich-Gray,Giovanni Di Liberto,Lucia Amoruso,Ander Barrena,Eneko Agirre,Nicola Molinaro Early research proposed that individuals with developmental dyslexia use contextual information to facilitate lexical access and compensate for phonological deficits. Yet at present there is no corroborating neuro-cognitive evidence. We explored this with a novel combination of… Elsevier BV	2023-06-01
Impedance-Based Ventilation Detection and Signal Quality Control During Out-of-Hospital Cardiopulmonary Resuscitation Authors: Xabier Jaureguibeitia,Elisabete Aramendi,Henry E. Wang,Ahamed H. Idris Feedback on ventilation could help improve cardiopulmonary resuscitation quality and survival from out-of-hospital cardiac arrest (OHCA). However, current technology that monitors ventilation during OHCA is very limited. Thoracic impedance (TI) is sensitive to air volume changes in the lungs,… Institute of Electrical and Electronics Engineers (IEEE)	2023-06-01
Physics-guided deep-learning inversion method for the interpretation of noisy logging-while-drilling resistivity measurements Authors: Kyubo Noh,David Pardo,Carlos Torres-Verdín SUMMARY Deep learning (DL) inversion is a promising method for real-time interpretation of logging-while-drilling (LWD) resistivity measurements for well-navigation applications. In this context, measurement noise may significantly affect inversion results. Existing publications… Oxford University Press (OUP)	2023-05-27
Anion Trapping and Ionic Conductivity Enhancement in PEO-Based Composite Polymer–Li₇La₃Zr₂O₁₂ Electrolytes: The Role of the Garnet Li Molar Content Authors: Henry A. Cortés,Mauricio R. Bonilla,Ernesto E. Marinero,Javier Carrasco,Elena Akhmatskaya The successful development of all-solid-state batteries will provide solutions for many problems facing current Li-ion batteries, such as high flammability, limited energy density, poor cyclability and low cation transference number. In this quest, the development of high-performance solid-state… American Chemical Society (ACS)	2023-05-22
aMplitude spectral area of ventricular fibrillation and amiOdarone Study in patients with out-of-hospital cArdIaC arrest. The MOSAIC study Authors: Francesca Romana Gentile,Francesca Romana Gentile,Lars Wik,Lars Wik,Elisabete Aramendi,Enrico Baldi,Iraia Isasi,Jon Erik Steen-Hansen,Sara Compagnoni,Sara Compagnoni,Alessandro Fasolino,Alessandro Fasolino,Enrico Contri,Alessandra Palo,Roberto Primi,Sara… ObjectiveAntiarrhythmic drugs are recommended for out of hospital cardiac arrest (OHCA) with shock-refractory ventricular fibrillation (VF). Amplitude Spectral Area (AMSA) of VF is a quantitative waveform measure that describes the amplitude-weighted mean frequency of VF, it correlates with… Frontiers Media SA	2023-05-15
Visual Appearance and Soft Biometrics Fusion for Person Re-Identification Using Deep Learning Authors: Samee Ullah Khan,Noman Khan,Tanveer Hussain,Khan Muhammad,Mohammad Hijji,Javier Del Ser,Sung Wook Baik Institute of Electrical and Electronics Engineers (IEEE)	2023-05-01
An exponential integration generalized multiscale finite element method for parabolic problems Authors: Contreras, L.F.,Pardo, D.,Abreu, E.,Muñoz-Matute, J.,Diaz, C.,Galvis, J. We consider linear and semilinear parabolic problems posed in high-contrast multiscale media in two dimensions. The presence of high-contrast multiscale media adversely affects the accuracy, stability, and overall efficiency of numerical approximations such as finite elements in space combined with… Elsevier BV	2023-04-01
Reducing model complexity by means of the optimal scaling: Population balance model for latex particles morphology formation Authors: Simone Rusconi,Christina Schenk,Arghir Zarnescu,Elena Akhmatskaya Rational computer-aided design of multiphase polymer materials is vital for rapid progress in many important applications, such as: diagnostic tests, drug delivery, coatings, additives for constructing materials, cosmetics, etc. Several property predictive models, including the prospective… Elsevier BV	2023-04-01
Automated location of orofacial landmarks to characterize airway morphology in anaesthesia via deep convolutional neural networks Authors: Fernando García-García,Dae-Jin Lee,Francisco J. Mendoza-Garcés,Sofía Irigoyen-Miró,María J. Legarreta-Olabarrieta,Susana García-Gutiérrez,Inmaculada Arostegui A reliable anticipation of a difficult airway may notably enhance safety during anaesthesia. In current practice, clinicians use bedside screenings by manual measurements of patients' morphology.To develop and evaluate algorithms for the automated extraction of orofacial landmarks, which… Elsevier BV	2023-04-01
Heart rate and QRS duration as biomarkers predict the immediate outcome from pulseless electrical activity Authors: A. Norvik,J.T. Kvaløy,GW. Skjeflo,D. Bergum,T. Nordseth,J.P. Loennechen,E. Unneland,D.G. Buckler,A. Bhardwaj,T. Eftestøl,E. Aramendi,BS. Abella,E. Skogvoll Pulseless electrical activity (PEA) is commonly observed in in-hospital cardiac arrest (IHCA). Universally available ECG characteristics such as QRS duration (QRSd) and heart rate (HR) may develop differently in patients who obtain ROSC or not. The aim of this study was to assess prospectively how… Elsevier BV	2023-04-01
Venus cloud discontinuity in 2022 Authors: J. Peralta,A. Cidadão,L. Morrone,C. Foster,M. Bullock,E. F. Young,I. Garate-Lopez,A. Sánchez-Lavega,T. Horinouchi,T. Imamura,E. Kardasis,A. Yamazaki,S. Watanabe Context. First identified in 2016 by the Japan Aerospace eXploration Agency (JAXA) Akatsuki mission, the discontinuity or disruption is a recurrent wave observed to propagate over decades at the deeper clouds of Venus (47–56 km above the surface), while its absence at the top of the clouds (∼70 km… EDP Sciences	2023-03-28
Accurate long-term air temperature prediction with Machine Learning models and data reduction techniques Authors: D. Fister,J. Pérez-Aracil,C. Peláez-Rodríguez,J. Del Ser,S. Salcedo-Sanz In this paper, three customised Artificial Intelligence (AI) frameworks, considering Deep Learning, Machine Learning (ML) algorithms and data reduction techniques, are proposed for a problem of long-term summer air temperature prediction. Specifically, the prediction of the average air temperature… Elsevier BV	2023-03-01