Publications

Displaying 26 - 50 of 1227

Publication	Date
A data-mining approach to understanding the impact of multi-doping on the ionic transport mechanism of solid electrolytes materials: the case of dual-doped Ga_0.15/Sc_y Li₇La₃Zr₂O₁₂ Authors: Henry A. Cortés,Mauricio R. Bonilla,Herbert Früchtl,Tanja van Mourik,Javier Carrasco,Elena Akhmatskaya Uncovering Ga/Sc dual-doping effects on Li-ion dynamics in LLZO through molecular dynamics, Monte Carlo simulations, and data mining clustering techniques. Royal Society of Chemistry (RSC)	2024-01-01
Reconstruction-Based Anomaly Detection in Wind Turbine Operation Time Series Using Generative Models Authors: Amaia Abanda,Ainhoa Pujana,Javier Del Ser Springer Nature Switzerland	2024-01-01
On generating trustworthy counterfactual explanations Authors: Del Ser, Javier,Barredo-Arrieta, Alejandro,Díaz-Rodríguez, Natalia,Herrera, Francisco,Saranti, Anna,Holzinger, Andreas Centro para el Desarrollo Tecnologico Industrial (CDTI) Elsevier BV	2024-01-01
Bag-Valve-Mask Ventilation and Survival From Out-of-Hospital Cardiac Arrest: A Multicenter Study Authors: Ahamed H. Idris,Elisabete Aramendi Ecenarro,Brian Leroux,Xabier Jaureguibeitia,Betty Y. Yang,Sarah Shaver,Mary P. Chang,Tom Rea,Peter Kudenchuk,Jim Christenson,Christian Vaillancourt,Clifton Callaway,David Salcido,Jonas Carson,Jennifer Blackwood,Henry E… BACKGROUND: Few studies have measured ventilation during early cardiopulmonary resuscitation (CPR) before advanced airway placement. Resuscitation guidelines recommend pauses after every 30 chest compressions to deliver ventilations. The effectiveness of bag-valve-mask… Ovid Technologies (Wolters Kluwer Health)	2023-12-05
The crystal chemistry and reactivity of ternary Na2Fe3Cl8 from the NaCl-FeCl2 system and its potential application as coating layer for cathode in sodium ion batteries Authors: Liliana T. López Ch.,Franklin Jaramillo,Jorge A. Calderón,José L. Tirado,Elena Akhmatskaya,Mauricio R. Bonilla This report explores theoretical and experimental methods to characterize the ternary phases arising from the NaCl + FeCl2 system at both low (150 °C) and high temperatures (550 °C), through milling and evaporation processing techniques. We found that Na2Fe3Cl8 is the only metastable ternary… Elsevier BV	2023-12-01
Dynamics and clouds in planetary atmospheres from telescopic observations Authors: Sánchez-Lavega, A,Irwin, P,García Muñoz, A AbstractThis review presents an insight into our current knowledge of the atmospheres of the planets Venus, Mars, Jupiter, Saturn, Uranus and Neptune, the satellite Titan, and those of exoplanets. It deals with the thermal structure, aerosol properties (hazes and clouds, dust in the case of Mars),… Springer Science and Business Media LLC	2023-12-01
Fast parallel IGA-ADS solver for time-dependent Maxwell's equations Authors: Marcin Łoś,Maciej Woźniak,Keshav Pingali,Luis Emilio Garcia Castillo,Julen Alvarez-Aramberri,David Pardo,Maciej Paszyński We propose a simulator for time-dependent Maxwell's equations with linear computational cost. We employ B-spline basis functions as considered in the isogeometric analysis (IGA). We focus on non-stationary Maxwell's equations defined on a regular patch of elements. We employ the idea of… Elsevier BV	2023-12-01
Semi‐blind‐trace algorithm for self‐supervised attenuation of trace‐wise coherent noise Authors: Mohammad Mahdi Abedi,David Pardo,Tariq Alkhalifah AbstractTrace‐wise noise is a type of noise often seen in seismic data, which is characterized by vertical coherency and horizontal incoherency. Using self‐supervised deep learning to attenuate this type of noise, the conventional blind‐trace deep learning trains a network to blindly reconstruct… Wiley	2023-11-08
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation Authors: Natalia Díaz-Rodríguez,Javier Del Ser,Mark Coeckelbergh,Marcos López de Prado,Enrique Herrera-Viedma,Francisco Herrera Trustworthy Artificial Intelligence (AI) is based on seven technical requirements sustained over three main pillars that should be met throughout the system's entire life cycle: it should be (1) lawful, (2) ethical, and (3) robust, both from a technical and a social perspective. However, attaining… Elsevier BV	2023-11-01
Diagnosis of the health status of mooring systems for floating offshore wind turbines using autoencoders Authors: N. Gorostidi,D. Pardo,V. Nava Floating offshore wind turbines (FOWTs) show promise in terms of energy production, availability, and sustainability, but remain unprofitable due to high maintenance costs. This work proposes a deep learning algorithm to detect mooring line degradation and failure by monitoring the dynamic response… Elsevier BV	2023-11-01
ChatAgri: Exploring potentials of ChatGPT on cross-linguistic agricultural text classification Authors: Biao Zhao,Weiqiang Jin,Javier Del Ser,Guang Yang 24 pages,10+figures,46references.Both the first two authors, Biao Zhao and Weiqiang Jin, made equal contributions to this work. Corresponding author: Guang Yang Elsevier BV	2023-11-01
Machine learning discovery of optimal quadrature rules for isogeometric analysis Authors: Tomas Teijeiro,Jamie M. Taylor,Ali Hashemian,David Pardo 18 pages, 14 figures Elsevier BV	2023-11-01
An intense narrow equatorial jet in Jupiter’s lower stratosphere observed by JWST Authors: Ricardo Hueso,Agustín Sánchez-Lavega,Thierry Fouchet,Imke de Pater,Arrate Antuñano,Leigh N. Fletcher,Michael H. Wong,Pablo Rodríguez-Ovalle,Lawrence A. Sromovsky,Patrick M. Fry,Glenn S. Orton,Sandrine Guerlet,Patrick G. J. Irwin,Emmanuel Lellouch,Jake… AbstractThe atmosphere of Jupiter has east–west zonal jets that alternate as a function of latitude as tracked by cloud motions at tropospheric levels. Above and below the cold tropopause at ~100 mbar, the equatorial atmosphere is covered by hazes at levels where thermal infrared observations used… Springer Science and Business Media LLC	2023-10-19
A review of deep learning‐based approaches for deepfake content detection Authors: Leandro A. Passos,Danilo Jodas,Kelton A. P. Costa,Luis A. Souza Júnior,Douglas Rodrigues,Javier Del Ser,David Camacho,João Paulo Papa AbstractRecent advancements in deep learning generative models have raised concerns as they can create highly convincing counterfeit images and videos. This poses a threat to people's integrity and can lead to social instability. To address this issue, there is a pressing need to develop new… Wiley	2023-10-15
HDL: Hybrid Deep Learning for the Synthesis of Myocardial Velocity Maps in Digital Twins for Cardiac Analysis Authors: Xing, Xiaodan,Ser, Javier Del,Wu, Yinzhe,Li, Yang,Xia, Jun,Xu, Lei,Firmin, David,Gatehouse, Peter,Yang, Guang,Yang, Guang Synthetic digital twins based on medical data accelerate the acquisition, labelling and decision making procedure in digital healthcare. A core part of digital healthcare twins is model-based data synthesis, which permits the generation of realistic medical signals without requiring to cope with… Institute of Electrical and Electronics Engineers (IEEE)	2023-10-01
Minimum Recall-Based Loss Function for Imbalanced Time Series Classification Authors: Josu Ircio,Aizea Lojo,Usue Mori,Simon Malinowski,Jose A. Lozano Institute of Electrical and Electronics Engineers (IEEE)	2023-10-01
Non-shockable rhythms: A parametric model for the immediate probability of return of spontaneous circulation Authors: Eirik Unneland,Anders Norvik,Daniel Bergum,David G. Buckler,Abhishek Bhardwaj,Trygve Christian Eftestøl,Elisabete Aramendi,Trond Nordseth,Benjamin S. Abella,Jan Terje Kvaløy,Eirik Skogvoll Cardiac arrest can present with asystole, Pulseless Electrical Activity (PEA), or Ventricular Fibrillation/Tachycardia (VF/VT). We investigated the transition intensity of Return of spontaneous circulation (ROSC) from PEA and asystole during in-hospital resuscitation.We included 770 episodes of… Elsevier BV	2023-10-01
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