Publications

Displaying 176 - 200 of 1307

Publication	Date
Evolution of Gaussian Process kernels for machine translation post-editing effort estimation Authors: Ibai Roman,Roberto Santana,Alexander Mendiburu,Jose A. Lozano In many Natural Language Processing problems the combination of machine learning and optimization techniques is essential. One of these problems is the estimation of the human effort needed to improve a text that has been translated using a machine translation method. Recent advances in this area… Springer Science and Business Media LLC	2021-05-25
REAL-TIME 2.5D INVERSION OF LWD RESISTIVITY MEASUREMENTS USING DEEP LEARNING FOR GEOSTEERING APPLICATIONS ACROSS FAULTED FORMATIONS Authors: Carlos Torres-Verdín,Ehu, Bcam, Ikerbasque,David Pardo,Kyubo Noh We develop a Deep Learning (DL) inversion method for the interpretation of 2.5-dimensional (2.5D) borehole resistivity measurements that requires negligible online computational costs. The method is successfully verified with the inversion of triaxial LWD resistivity measurements acquired across… Society of Petrophysicists and Well Log Analysts	2021-05-17
Real-Time 2.5D Inversion of LWD Resistivity Measurements Using Deep Learning for Geosteering Applications Across Faulted Formations Authors: Carlos Torres-Verdín,Ehu, Bcam, Ikerbasque,David Pardo,Kyubo Noh We develop a deep-learning (DL) inversion method for the interpretation of 2.5-dimensional (2.5D) borehole resistivity measurements that requires negligible online computational costs. The method is successfully verified with the inversion of triaxial logging-while-drilling (LWD) resistivity… Society of Petrophysicists and Well Log Analysts (SPWLA)	2021-05-17
Tunnelling times, Larmor clock, and the elephant in the room Authors: Sokolovski, D.,Akhmatskaya, E. AbstractA controversy surrounding the “tunnelling time problem” stems from the seeming inability of quantum mechanics to provide, in the usual way, a definition of the duration a particle is supposed to spend in a given region of space. For this reason, the problem is often approached from an “… Springer Science and Business Media LLC	2021-05-11
A Cheap Feature Selection Approach for the K-Means Algorithm Authors: Marco Capo,Aritz Perez,Jose A. Lozano The increase in the number of features that need to be analyzed in a wide variety of areas, such as genome sequencing, computer vision, or sensor networks, represents a challenge for the K -means algorithm. In this regard, different dimensionality reduction approaches for the K -means algorithm… Institute of Electrical and Electronics Engineers (IEEE)	2021-05-01
Inferring spatial relations from textual descriptions of images Authors: Oier Lopez de Lacalle,Aitzol Elu,Aitor Soroa,Ignacio Arganda-Carreras,Ignacio Arganda-Carreras,Ignacio Arganda-Carreras,Gorka Azkune,Eneko Agirre Generating an image from its textual description requires both a certain level of language understanding and common sense knowledge about the spatial relations of the physical entities being described. In this work, we focus on inferring the spatial relation between entities, a key step in the… Elsevier BV	2021-05-01
Airway strategy and chest compression quality in the Pragmatic Airway Resuscitation Trial Authors: Elisabete Aramendi,Tom P. Aufderheide,Ahamed H. Idris,Jeffrey L. Jarvis,Xabier Jaureguibeitia,Robert Suchting,Unai Irusta,M. Riccardo Colella,Ryan M. Huebinger,Jestin N. Carlson,Erik Alonso,Henry E. Wang,Matthew Hansen,Robert H. Schmicker,Richard Gordon Chest compression (CC) quality is associated with improved out-of-hospital cardiopulmonary arrest (OHCA) outcomes. Airway management efforts may adversely influence CC quality. We sought to compare the effects of initial laryngeal tube (LT) and initial endotracheal intubation (ETI) airway… Elsevier BV	2021-05-01
Modeling extra-deep electromagnetic logs using a deep neural network Authors: Alyaev, Sergey,Shahriari, Mostafa,Pardo, David,Omella, Ángel Javier,Larsen, David Selvåg,Jahani, Nazanin,Suter, Erich Modern geosteering is heavily dependent on real-time interpretation of deep electromagnetic (EM) measurements. We have developed a methodology to construct a deep neural network (DNN) model trained to reproduce a full set of extra-deep EM logs consisting of 22 measurements per logging position.… Society of Exploration Geophysicists	2021-05-01
One Way or Another: Cortical Language Areas Flexibly Adapt Processing Strategies to Perceptual And Contextual Properties of Speech Authors: Klimovich-Gray, Anastasia,Barrena Madinabeitia, Ander,Agirre, Eneko,Molinaro, Nicola Abstract Cortical circuits rely on the temporal regularities of speech to optimize signal parsing for sound-to-meaning mapping. Bottom-up speech analysis is accelerated by top–down predictions about upcoming words. In everyday communications, however, listeners are regularly… Oxford University Press (OUP)	2021-04-07
Computational Intelligence in the hospitality industry: A systematic literature review and a prospect of challenges Authors: Juan Guerra-Montenegro,Javier Sanchez-Medina,Ibai Laña,David Sanchez-Rodriguez,Itziar Alonso-Gonzalez,Javier Del Ser Abstract This research work presents a detailed survey about Computational Intelligence (CI) applied to various Hotel and Travel Industry areas. Currently, the hospitality industry’s interest in data science is growing exponentially because of their expected margin of profit growth. In order to… Elsevier BV	2021-04-01
Analysis of the sensitivity of the End-Of-Turn Detection task to errors generated by the Automatic Speech Recognition process Authors: Jose A. Lozano,Jose A. Lozano,Cesar Montenegro,Roberto Santana An End-Of-Turn Detection Module (EOTD-M) is an essential component of automatic Spoken Dialogue Systems. The capability of correctly detecting whether a user?s utterance has ended or not improves the accuracy in interpreting the meaning of the message and decreases the latency in the answer.… Elsevier BV	2021-04-01
The Mars Environmental Dynamics Analyzer, MEDA. A Suite of Environmental Sensors for the Mars 2020 Mission Authors: R. Leiter,M. Hieta,Miriam García-Villadangos,Mark I. Richardson,Santiago Pérez-Hoyos,Mark T. Lemmon,Ricardo Hueso,H. Chen-Chen,T. Velasco,J. F. Moreno-Álvarez,M. de la Torre Juarez,Meda team,Don Banfield,S. C. R. Rafkin,Ignacio Arruego,Luis Castañer,… AbstractNASA’s Mars 2020 (M2020) rover mission includes a suite of sensors to monitor current environmental conditions near the surface of Mars and to constrain bulk aerosol properties from changes in atmospheric radiation at the surface. The Mars Environmental Dynamics Analyzer (MEDA) consists of… Springer Science and Business Media LLC	2021-04-01
Goal-oriented adaptivity for a conforming residual minimization method in a dual discontinuous Galerkin norm Authors: Sergio Rojas,Pouria Behnoudfar,David Pardo,David Pardo,David Pardo,Victor M. Calo,Victor M. Calo We propose a goal-oriented mesh-adaptive algorithm for a finite element method stabilized via residual minimization on dual discontinuous-Galerkin norms. By solving a saddle-point problem, this residual minimization delivers a stable continuous approximation to the solution on each mesh instance… Elsevier BV	2021-04-01
Jupiter’s Great Red Spot: Strong Interactions With Incoming Anticyclones in 2019 Authors: I. Ordoñez-Extebarria,S. Mizumoto,Agustín Sánchez-Lavega,A. Casely,Ricardo Hueso,Jon Legarreta,P. Iñurrigarro,I. Mendikoa,John H. Rogers,C. J. Hansen,A. Prat-Gasull,Manel Soria,Tom Momary,Glenn S. Orton,Asier Anguiano-Arteaga,Gerald Eichstädt,Clyde… AbstractJupiter’s Great Red Spot (GRS), a giant anticyclone, is the largest and longest‐lived of all the vortices observed in planetary atmospheres. During its history, the GRS has shrunk to half its size since 1879, and encountered many smaller anticyclones and other dynamical features that… American Geophysical Union (AGU)	2021-04-01
Large-offset P-wave traveltime in layered transversely isotropic media Authors: Mohammad Mahdi Abedi,David Pardo Large-offset seismic data processing, imaging, and velocity estimation require an accurate traveltime approximation over a wide range of offsets. In layered transversely isotropic media with a vertical symmetry axis, the accuracy of traditional traveltime approximations is limited to near offsets… Society of Exploration Geophysicists	2021-03-11
An Efficient and Scalable Simulation Model for Autonomous Vehicles With Economical Hardware Authors: Muhammad Sajjad,Muhammad Irfan,Khan Muhammad,Javier Del Ser,Javier Sanchez-Medina,Sergey Andreev,Weiping Ding,Jong Weon Lee 1732 Institute of Electrical and Electronics Engineers (IEEE)	2021-03-01
End-tidal carbon dioxide (ETCO2) and ventricular fibrillation amplitude spectral area (AMSA) for shock outcome prediction in out-of-hospital cardiac arrest. Are they two sides of the same coin? Authors: Laura Frigerio,Enrico Baldi,Elisabete Aramendi,Beatriz Chicote,Unai Irusta,Enrico Contri,Alessandra Palo,Sara Compagnoni,Rosa Fracchia,Giorgio Iotti,Luigi Oltrona Visconti,Simone Savastano,Sara Compagnoni,Rosa Fracchia,Antonio Cuzzoli,Andrea Pagliosa,… Abstract Aim Ventricular fibrillation amplitude spectral area (AMSA) and end-tidal carbon dioxide (ETCO2) are predictors of shock success, understood as restoration of an organized rhythm, and return of spontaneous circulation (ROSC). However, little is known about their combined use. We aimed… Elsevier BV	2021-03-01
An Extremely Elongated Cloud Over Arsia Mons Volcano on Mars: I. Life Cycle Authors: Ernst Hauber,Kyle Connour,B. Gondet,T. del Río-Gaztelurrutia,Agustín Sánchez-Lavega,Dmitrij Titov,I. Ordonez-Etxeberria,R. Jaumann,Daniela Tirsch,Jorge Hernández-Bernal,R. Hueso,Simon Wood,Eleni Ravanis,Alejandro Cardesín-Moinelo,Alejandro Cardesín-… AbstractWe report a previously unnoticed annually repeating phenomenon consisting of the daily formation of an extremely elongated cloud extending as far as 1,800 km westward from Arsia Mons. It takes place in the solar longitude (Ls) range of ∼220°–320°, around the Southern solstice. We study this… American Geophysical Union (AGU)	2021-03-01
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges Authors: Siham Tabik,Eneko Osaba,Daniel Molina,Aritz D. Martinez,Esther Villar-Rodriguez,Javier Del Ser,Francisco Herrera,Javier Poyatos 64 pages, 18 figures, under review for its consideration in Information Fusion journal Elsevier BV	2021-03-01
Equivalence between the DPG method and the exponential integrators for linear parabolic problems Authors: David Pardo,David Pardo,David Pardo,Judit Muñoz-Matute,Leszek Demkowicz The Discontinuous Petrov-Galerkin (DPG) method and the exponential integrators are two well established numerical methods for solving Partial Di fferential Equations (PDEs) and sti ff systems of Ordinary Di fferential Equations (ODEs), respectively. In this work, weapply the DPG method in the time… Elsevier BV	2021-03-01
Scientific modelling can be accessible, interoperable and user friendly: An example for pasture and livestock modelling Authors: Alba Marquez Torres,Stefano Balbi,Ferdinando Villa AbstractThis article describes the adaptation of a non-spatial model of pastureland dynamics, including vegetation life cycle, livestock management and nitrogen cycle, for use in a spatially explicit and modular modelling platform (k.LAB) dedicated to make data and models more interoperable. The… Cold Spring Harbor Laboratory	2021-02-23
From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability Authors: Ibai Laña,Javier J. Sanchez-Medina,Eleni I. Vlahogianni,Javier Del Ser Advances in Data Science permeate every field of Transportation Science and Engineering, resulting in developments in the transportation sector that are data-driven. Nowadays, Intelligent Transportation Systems (ITS) could be arguably approached as a “story” intensively producing and consuming… MDPI AG	2021-02-05
Multi-model Meteorological and Aeolian Predictions for Mars 2020 and the Jezero Crater Region Authors: François Forget,R. J. Wilson,Daniel Viúdez-Moreiras,Agustín Sánchez-Lavega,Frank Daerden,Aymeric Spiga,M. de la Torre Juarez,Tanguy Bertrand,Mark I. Richardson,Lori Neary,Jorge Pla-Garcia,Jorge Pla-Garcia,Claire E. Newman,Ryan C. Sullivan,Melinda A.… AbstractNine simulations are used to predict the meteorology and aeolian activity of the Mars 2020 landing site region. Predicted seasonal variations of pressure and surface and atmospheric temperature generally agree. Minimum and maximum pressure is predicted at$\text{Ls}\sim 145^{\circ}$Ls∼145∘… Springer Science and Business Media LLC	2021-02-01
A large reproducible benchmark of ontology-based methods and word embeddings for word similarity Authors: Eneko Agirre,Josu Goikoetxea,Juan J. Lastra-Díaz,Ana García-Serrano,Mohamed Ben Aouicha,David Sánchez,Mohamed Ali Hadj Taieb Abstract This work is a companion reproducibility paper of the experiments and results reported in Lastra-Diaz et al. (2019a), which is based on the evaluation of a companion reproducibility dataset with the HESML V1R4 library and the long-term reproducibility tool called Reprozip. Human… Elsevier BV	2021-02-01
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey Authors: Khan Muhammad,Salman Khan,Javier Del Ser,Victor Hugo C. de Albuquerque Brain tumor is one of the most dangerous cancers in people of all ages, and its grade recognition is a challenging problem for radiologists in health monitoring and automated diagnosis. Recently, numerous methods based on deep learning have been presented in the literature for brain tumor… Institute of Electrical and Electronics Engineers (IEEE)	2021-02-01