Data Augmentation for Industrial Prognosis Using Generative Adversarial Networks
Authors: Ortego, Patxi,Diez-Olivan, Alberto,Del Ser, Javier,Sierra, Basilio
The Industry 4.0 revolution allows monitoring and intelligent processing of big amounts of data. When monitoring certain assets, very few data is found for operation under faulty conditions because the cost of not operating properly is unacceptable and thus preventive strategies are put in practice…
Springer International Publishing
A Deep Neural Network as Surrogate Model for Forward Simulation of Borehole Resistivity Measurements
Authors: Florian Sobieczky,Bernhard Moser,Mostafa Shahriari,David Pardo,David Pardo,David Pardo
Inverse problems appear in multiple industrial applications. Solving such inverse problems require the repeated solution of the forward problem. This is the most time-consuming stage when employing inversion techniques, and it constitutes a severe limitation when the inversion needs to be performed…
Elsevier BV
Visualization of Numerical Association Rules by Hill Slopes
Authors: Fister, Iztok,Fister, Dušan,Iglesias, Andres,Galvez, Akemi,Osaba, Eneko,Del Ser, Javier,Fister, Iztok
Association Rule Mining belongs to one of the more prominent methods in Data Mining, where relations are looked for among features in a transaction database. Normally, algorithms for Association Rule Mining mine a lot of association rules, from which it is hard to extract knowledge. This paper…
Springer International Publishing
Design of Loss Functions for Solving Inverse Problems Using Deep Learning
Authors: Rivera, J.A.,Pardo, D.,Alberdi, E.
Solving inverse problems is a crucial task in several applications that strongly affect our daily lives, including multiple engineering fields, military operations, and/or energy production. There exist different methods for solving inverse problems, including gradient based methods, statistics…
Springer International Publishing
Data-Driven Optimization for Transportation Logistics and Smart Mobility Applications [Guest Editorial]
Authors: Eneko Osaba,Javier J. Sanchez Medina,Eleni I. Vlahogianni,Xin-She Yang,Antonio D. Masegosa,Joshue Perez Rastelli,Javier Del Ser
The articles in this special section focus on data driven optimization for transportation and smart mobility applications. We live in an era of major societal and technological changes. Transportation de-carbonization and postindustrial demographic trends, such as massive migrations and an aging…
Institute of Electrical and Electronics Engineers (IEEE)
Shock Decision Algorithms for Automated External Defibrillators Based on Convolutional Networks
Authors: Xabier Jaureguibeitia,Gorka Zubia,Unai Irusta,Elisabete Aramendi,Beatriz Chicote,Daniel Alonso,Andima Larrea,Carlos Corcuera
Automated External Defibrillators (AED) incorporate a shock decision algorithm that analyzes the patient's electrocardiogram (EKG), allowing lay persons to provide life saving defibrillation therapy to out-of-hospital cardiac arrest (OHCA) patients. The most accurate shock decision algorithms are…
Institute of Electrical and Electronics Engineers (IEEE)
Parametric Learning of Associative Functional Networks Through a Modified Memetic Self-adaptive Firefly Algorithm
Authors: Akemi Gálvez,Andrés Iglesias,Eneko Osaba,Javier Del Ser
Functional networks are a powerful extension of neural networks where the scalar weights are replaced by neural functions. This paper concerns the problem of parametric learning of the associative model, a functional network that represents the associativity operator. This problem can be formulated…
Springer International Publishing
Soft Computing for Swarm Robotics: New Trends and Applications
Authors: Osaba, Eneko,Del Ser, Javier,Iglesias, Andres,Yang, Xin-She
Abstract Robotics have experienced a meteoric growth over the last decades, reaching unprecedented levels of distributed intelligence and self-autonomy. Today, a myriad of real-world scenarios can benefit from the application of robots, such as structural health monitoring, complex manufacturing…
Elsevier BV
A Machine Learning Framework for Pulse Detection During Out-of-Hospital Cardiac Arrest
Authors: Erik Alonso,Unai Irusta,Elisabete Aramendi,Mohamud R. Daya
The availability of an automatic pulse detection during out-of-hospital cardiac arrest (OHCA) would allow the rapid identi cation of cardiac arrest and the prompt detection of return of spontaneous circulation. The aim of this study was to develop a reliable pulse detection algorithm using the…
Institute of Electrical and Electronics Engineers (IEEE)
Question Answering When Knowledge Bases are Incomplete
Authors: Camille Pradel,Damien Sileo,Álvaro Rodrigo,Anselmo Peñas,Eneko Agirre
While systems for question answering over knowledge bases (KB) continue to progress, real world usage requires systems that are robust to incomplete KBs. Dependence on the closed world assumption is highly problematic, as in many practical cases the information is constantly evolving and KBs cannot…
Springer International Publishing
Online heart monitoring systems on the internet of health things environments: A survey, a reference model and an outlook
Authors: Marcus A.G. Santos,Roberto Munoz,Rodrigo Olivares,Pedro P. Rebouças Filho,Javier Del Ser,Victor Hugo C. de Albuquerque
Abstract The Internet of Health Things promotes personalized and higher standards of care. Its application is diverse and attracts the attention of a substantial section of the scientific community. This approach has also been applied by people looking to enhance quality of life by using this…
Elsevier BV
A Methodology for Creating Question Answering Corpora Using Inverse Data Annotation
Authors: Deriu, Jan,Mlynchyk, Katsiaryna,Schläpfer, Philippe,Rodrigo, Alvaro,von Grünigen, Dirk,Kaiser, Nicolas,Stockinger, Kurt,Agirre, Eneko,Cieliebak, Mark
In this paper, we introduce a novel methodology to efficiently construct a corpus for question answering over structured data. For this, we introduce an intermediate representation that is based on the logical query plan in a database called Operation Trees (OT). This representation allows us to…
Association for Computational Linguistics (ACL)
Activity Recognition Using Temporal Optical Flow Convolutional Features and Multilayer LSTM
Authors: Amin Ullah,Khan Muhammad,Javier Del Ser,Sung Wook Baik,Victor Hugo C. de Albuquerque
Nowadays digital surveillance systems are universally installed for continuously collecting enormous amounts of data, thereby requiring human monitoring for the identification of different activities and events. Smarter surveillance is the need of this era through which normal and abnormal…
Institute of Electrical and Electronics Engineers (IEEE)
Introduction to the Special Issue on Online Learning for Big-Data Driven Transportation and Mobility
Authors: Javier Del Ser,Javier J. Sanchez-Medina,Eleni I. Vlahogianni
In the last years, the arrival and progressively gained maturity of technological paradigms such as Connected Vehicles, the Internet of Things, Sensor Networks, Urban Computing, Smart Cities, Cloud Computing, Edge Computing, Big Data and others alike have ignited the role historically played by…
Institute of Electrical and Electronics Engineers (IEEE)
Robust combination of the Morris and Sobol methods in complex multidimensional models
Authors: Raúl Prellezo,Inmaculada Arostegui,Inmaculada Arostegui,Dorleta Garcia
Conducting global sensitivity analysis using variance decomposition methods in complex simulation models with many input factors is usually unaffordable. An alternative is to first apply a screening method to reduce the number of input factors and then apply a variance decomposition method to the…
Elsevier BV
Atmospheric Dynamics and Vertical Structure of Uranus and Neptune’s Weather Layers
Authors: Ricardo Hueso,Agustín Sánchez-Lavega
The Icy Giants Uranus and Neptune have similar rotation periods, large orbital inclinations and intense zonal winds at the visible cloud level. The winds are organized into three broad jets: a zonal jet that flows to the West at low latitudes and single jets that flow to the East in each hemisphere…
Springer Science and Business Media LLC
Refined isogeometric analysis for fluid mechanics and electromagnetics
Authors: David Pardo,David Pardo,David Pardo,Victor M. Calo,Victor M. Calo,Daniel Garcia
Starting from a highly continuous isogeometric analysis discretization, we introduce hyperplanes that partition the domain into subdomains and reduce the continuity of the discretization spaces at these hyperplanes. As the continuity is reduced, the number of degrees of freedom in the system grows…
Elsevier BV
Hazes and clouds in a singular triple vortex in Saturn's atmosphere from HST/WFC3 multispectral imaging
Authors: Agustín Sánchez-Lavega,Patrick G. J. Irwin,T. del Río-Gaztelurrutia,J. F. Sanz-Requena,J. F. Sanz-Requena,Santiago Pérez-Hoyos
In this paper we present a study of the vertical haze and cloud structure over a triple vortex in Saturn's atmosphere in the planetographic latitude range 55N-69N (del Rio- Gaztelurrutia et al. , 2018) using HST/WFC3 multispectral imaging. The observations were taken during 29-30 June and 1 July…
Elsevier BV
Variational formulations for explicit Runge-Kutta Methods
Authors: Victor M. Calo,Victor M. Calo,Elisabete Alberdi,David Pardo,David Pardo,David Pardo,Judit Muñoz-Matute
Variational space-time formulations for Partial Differential Equations have been of great interest in the last decades. While it is known that implicit time marching schemes have variational structure, the Galerkin formulation of explicit methods in time remains elusive. In this work, we prove that…
Elsevier BV