Publications

Displaying 51 - 75 of 1227

Publication	Date
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
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
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
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
Methods for calculating ventilation rates during resuscitation from out-of-hospital cardiac arrest Authors: Henry E, Wang,Xabier, Jaureguibeitia,Elisabete, Aramendi,Michelle, Nassal,Ashish, Panchal,Erik, Alonso,Graham, Nichol,Tom, Aufderheide,Mohamud R, Daya,Jestin, Carlson,Ahamed, Idris Ventilation control is important during resuscitation from out-of-hospital cardiac arrest (OHCA). We compared different methods for calculating ventilation rates (VR) during OHCA.We analyzed data from the Pragmatic Airway Resuscitation Trial, identifying ventilations through capnogram recordings.… Elsevier BV	2023-03-01
Clinical severity prediction of COVID-19 admitted patients in Spain: SEMI and REDISSEC cohorts Authors: Mario Martínez-García,Susana García-Gutierrez,Lasai Barreñada Taleb,Rubén Armañanzas,Inaki Inza,Jose A. Lozano AbstractThis report addresses, from a machine learning perspective, a multi-class classification problem to predict the first deterioration level of a COVID-19 positive patient at the time of hospital admission. Socio-demographic features, laboratory tests and other measures are taken into account… Cold Spring Harbor Laboratory	2023-02-10
Image captioning for effective use of language models in knowledge-based visual question answering Authors: Ander Salaberria,Gorka Azkune,Oier Lopez de Lacalle,Aitor Soroa,Eneko Agirre Under review. 25 pages with 4 figures Elsevier BV	2023-02-01
A Deep Fourier Residual method for solving PDEs using Neural Networks Authors: Jamie M. Taylor,David Pardo,Ignacio Muga When using Neural Networks as trial functions to numerically solve PDEs, a key choice to be made is the loss function to be minimised, which should ideally correspond to a norm of the error. In multiple problems, this error norm coincides with--or is equivalent to--the $H^{-1}$-norm of the residual… Elsevier BV	2023-02-01
A Deep Double Ritz Method (D2RM) for solving Partial Differential Equations using Neural Networks Authors: Carlos Uriarte,David Pardo,Ignacio Muga,Judit Muñoz-Matute Elsevier BV	2023-02-01
Explainable COVID-19 Infections Identification and Delineation Using Calibrated Pseudo Labels Authors: Ming Li,Yingying Fang,Zeyu Tang,Chibudom Onuorah,Jun Xia,Javier Del Ser,Simon Walsh,Guang Yang The upheaval brought by the arrival of the COVID-19 pandemic has continued to bring fresh challenges over the past two years. During this COVID-19 pandemic, there has been a need for rapid identification of infected patients and specific delineation of infection areas in computed tomography (CT)… Institute of Electrical and Electronics Engineers (IEEE)	2023-02-01
Solving a Multi-objective Job Shop Scheduling Problem with an Automatically Configured Evolutionary Algorithm Authors: Jesús Para,Javier Del Ser,Antonio J. Nebro Springer Nature Switzerland	2023-01-01
Automatic Logical Forms improve fidelity in Table-to-Text generation Authors: Iñigo Alonso,Eneko Agirre Table-to-text systems generate natural language statements from structured data like tables. While end-to-end techniques suffer from low factual correctness (fidelity), a previous study reported gains when using manual logical forms (LF) that represent the selected content and the semantics of the… Elsevier BV	2023-01-01