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Publications

Displaying 26 - 50 of 1307
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Grounding spatial relations in text-only language models
Authors: Gorka Azkune,Ander Salaberria,Eneko Agirre
This paper shows that text-only Language Models (LM) can learn to ground spatial relations like "left of" or "below" if they are provided with explicit location information of objects and they are properly trained to leverage those locations. We perform experiments on a verbalized version of the… Elsevier BV

Cardiac output estimation using ballistocardiography: a feasibility study in healthy subjects
Authors: Svensøy, Johannes Nordsteien,Alonso, Erik,Elola Artano, Andoni,Bjørnerheim, Reidar,Ræder, Johan,Aramendi Ecenarro, Elisabete,Wik, Lars
AbstractThere is no reliable automated non-invasive solution for monitoring circulation and guiding treatment in prehospital emergency medicine. Cardiac output (CO) monitoring might provide a solution, but CO monitors are not feasible/practical in the prehospital setting. Non-invasive… Springer Science and Business Media LLC

A probabilistic generative model to discover the treatments of coexisting diseases with missing data
Authors: Onintze Zaballa,Aritz Pérez,Elisa Gómez-Inhiesto,Teresa Acaiturri-Ayesta,Jose A. Lozano
Comorbidities, defined as the presence of co-existing diseases, progress through complex temporal patterns among patients. Learning such dynamics from electronic health records is crucial for understanding the coevolution of diseases. In general, medical records are represented through temporal… Elsevier BV

Reconstruction-Based Anomaly Detection in Wind Turbine Operation Time Series Using Generative Models
Authors: Amaia Abanda,Ainhoa Pujana,Javier Del Ser
Springer Nature Switzerland

Multi-domain Adversarial Variational Bayesian Inference for Domain Generalization
Authors: Zhifan Gao,Saidi Guo,Chenchu Xu,Jinglin Zhang,Mingming Gong,Javier Del Ser,Shuo Li
Institute of Electrical and Electronics Engineers (IEEE)

Ensemble Deep Learning for Enhanced Seismic Data Reconstruction
Authors: Mohammad Mahdi Abedi,David Pardo,Tariq Alkhalifah
Seismic data often contain gaps due to various obstacles in the investigated area and recording instrument failures. Deep learning techniques offer promising solutions for reconstructing missing data parts by leveraging existing information. However, self-supervised methods frequently struggle with… Institute of Electrical and Electronics Engineers (IEEE)

Transforming Combinatorial Optimization Problems in Fourier Space: Consequences and Uses
Authors: Anne Elorza,Xabier Benavides,Josu Ceberio,Leticia Hernando,Jose A. Lozano
Institute of Electrical and Electronics Engineers (IEEE)

Targeting the High Frequency Tail of Wave Spectra for Energy Harvesting in Marine Sensor Networks
Authors: Josh Davidson,Vincenzo Nava
Elsevier BV

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 Ga0.15/Scy 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)

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

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)

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

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

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

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

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

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

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

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

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

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… Authorea, Inc.

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

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)

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)

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