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
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)
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)
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
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
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)
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