Publications

Displaying 151 - 175 of 1227

Publication	Date
Multi-task learning with Multi-view Weighted Fusion Attention for artery-specific calcification analysis Authors: Weiwei Zhang,Guang Yang,Nan Zhang,Lei Xu,Xiaoqing Wang,Yanping Zhang,Heye Zhang,Javier Del Ser,Victor Hugo C. de Albuquerque In general, artery-specific calcification analysis comprises the simultaneous calcification segmentation and quantification tasks. It can help provide a thorough assessment for calcification of different coronary arteries, and further allow for an efficient and rapid diagnosis of cardiovascular… Elsevier BV	2021-07-01
Probabilistic Load Forecasting Based on Adaptive Online Learning Authors: Veronica Alvarez,Santiago Mazuelas,Jose A. Lozano Load forecasting is crucial for multiple energy management tasks such as scheduling generation capacity, planning supply and demand, and minimizing energy trade costs. Such relevance has increased even more in recent years due to the integration of renewable energies, electric cars, and microgrids… Institute of Electrical and Electronics Engineers (IEEE)	2021-07-01
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems Authors: Eneko Osaba,Esther Villar-Rodriguez,Javier Del Ser,Antonio J. Nebro,Daniel Molina,Antonio LaTorre,Ponnuthurai N. Suganthan,Carlos A. Coello Coello,Francisco Herrera Abstract In the last few years, the formulation of real-world optimization problems and their efficient solution via metaheuristic algorithms has been a catalyst for a myriad of research studies. In spite of decades of historical advancements on the design and use of metaheuristics, large… Elsevier BV	2021-07-01
Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks Authors: Piotr S. Maciąg,Marzena Kryszkiewicz,Robert Bembenik,Jesus L. Lobo,Javier Del Ser 52 pages Elsevier BV	2021-07-01
Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions Authors: Khan Muhammad,Amin Ullah,Jaime Lloret,Javier Del Ser,Victor Hugo C. de Albuquerque Advances in information and signal processing technologies have a significant impact on autonomous driving (AD), improving driving safety while minimizing the efforts of human drivers with the help of advanced artificial intelligence (AI) techniques. Recently, deep learning (DL) approaches have… Institute of Electrical and Electronics Engineers (IEEE)	2021-07-01
A Machine Learning Model for the Prognosis of Pulseless Electrical Activity during Out-of-Hospital Cardiac Arrest Authors: Jon Urteaga,Elisabete Aramendi,Andoni Elola,Unai Irusta,Ahamed Idris Pulseless electrical activity (PEA) is characterized by the disassociation of the mechanical and electrical activity of the heart and appears as the initial rhythm in 20–30% of out-of-hospital cardiac arrest (OHCA) cases. Predicting whether a patient in PEA will convert to return of spontaneous… MDPI AG	2021-06-30
Unveiling Interfacial Li-Ion Dynamics in Li₇La₃Zr₂O₁₂/PEO(LiTFSI) Composite Polymer-Ceramic Solid Electrolytes for All-Solid-State Lithium Batteries Authors: Elena Akhmatskaya,Elena Akhmatskaya,Mauricio R. Bonilla,Fabián A. García Daza,Pierre Ranque,Frederic Aguesse,Javier Carrasco -Juan de la Cierva grant IJC2018-037214-I, -PID2019-106519RB-I00, as -HPC-Europa3 grant HPC17ERWTO -AI in BCAM, EXP. 2019/0043 American Chemical Society (ACS)	2021-06-23
Multiview Summarization and Activity Recognition Meet Edge Computing in IoT Environments Authors: Tanveer Hussain,Khan Muhammad,Amin Ullah,Javier Del Ser,Amir H. Gandomi,Muhammad Sajjad,Sung Wook Baik,Victor Hugo C. de Albuquerque Multiview video summarization (MVS) has not received much attention from the research community due to inter-view correlations and views’ overlapping, etc. The majority of previous MVS works are offline, relying on only summary, and require additional communication bandwidth and transmission time,… Institute of Electrical and Electronics Engineers (IEEE)	2021-06-15
Multimodal Algorithms for the Classification of Circulation States During Out-of-Hospital Cardiac Arrest Authors: Andoni Elola,Elisabete Aramendi,Unai Irusta,Per Olav Berve,Lars Wik Identifying the circulation state during out-of-hospital cardiac arrest (OHCA) is essential to determine what life-saving therapies to apply. Currently algorithms discriminate circulation (pulsed rhythms, PR) from no circulation (pulseless electrical activity, PEA), but PEA can be classified into… Institute of Electrical and Electronics Engineers (IEEE)	2021-06-01
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
Tunnelling times, Larmor clock, and the elephant in the room Authors: Sokolovski, Dmitri,Akhmatskaya, Elena 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
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
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
One Way or Another: Cortical Language Areas Flexibly Adapt Processing Strategies to Perceptual And Contextual Properties of Speech Authors: Klimovich-Gray, Anastasia,Barrena, 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
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
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 au- tomatic 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
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 Extremely Elongated Cloud Over Arsia Mons Volcano on Mars: I. Life Cycle Authors: Dmitrij Titov,Simon Wood,B. Gondet,Agustín Sánchez-Lavega,Eleni Ravanis,Daniela Tirsch,Jorge Hernández-Bernal,I. Ordonez-Etxeberria,R. Hueso,Ernst Hauber,R. Jaumann,Kyle Connour,T. del Río-Gaztelurrutia,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