Publications

Displaying 326 - 350 of 1351

Publication	Date
An Intelligent Procedure for the Methodology of Energy Consumption in Industrial Environments Authors: Mendia, Izaskun,Gil-Lopez, Sergio,Del Ser, Javier,Grau, Iñaki,Lejarazu, Adelaida,Maqueda, Erik,Perea, Eugenio The concern of the industrial sector about the increase of energy costs has stimulated the development of new strategies for the effective management of energy consumption in industrial setups. Along with this growth, the irruption and continuous development of digital technologies have generated… Springer International Publishing	2020-01-01
Evaluating Multimodal Representations on Visual Semantic Textual Similarity Authors: Oier Lopez de Lacalle,Aitor Soroa,Eneko Agirre,Gorka Azkune,Ander Salaberria The combination of visual and textual representations has produced excellent results in tasks such as image captioning and visual question answering, but the inference capabilities of multimodal representations are largely untested. In the case of textual representations, inference tasks such as… IOS Press	2020-01-01
COEBA: A Coevolutionary Bat Algorithm for Discrete Evolutionary Multitasking Authors: Osaba, Eneko,Del Ser, Javier,Yang, Xin-She,Iglesias, Andres,Galvez, Akemi 13 pages, 0 figures, paper submitted and accepted in the 11th workshop Computational Optimization, Modelling and Simulation (COMS 2020), part of the International Conference on Computational Science (ICCS 2020) Springer International Publishing	2020-01-01
Evolving Gaussian Process Kernels for Translation Editing Effort Estimation Authors: Ibai Roman,Roberto Santana,Alexander Mendiburu,Jose A. Lozano TIN2016-78365-R Springer International Publishing	2020-01-01
Using External Knowledge to Improve Zero-Shot Action Recognition in Egocentric Videos Authors: Adrián Núñez-Marcos,Gorka Azkune,Eneko Agirre,Diego López-de-Ipiña,Ignacio Arganda-Carreras Zero-shot learning is a very promising research topic. For a vision-based action recognition system, for instance, zero-shot learning allows to recognise actions never seen during the training phase. Previous works in zero-shot action recognition have exploited in several ways the visual appearance… Springer International Publishing	2020-01-01
Bayesian Optimization Approaches for Massively Multi-modal Problems Authors: Ibai Roman,Alexander Mendiburu,Roberto Santana,Jose A. Lozano TIN2016-78365-R Springer International Publishing	2020-01-01
Evaluating Multimodal Representations on Visual Semantic Textual Similarity Authors: Oier Lopez de Lacalle,Aitor Soroa,Eneko Agirre,Gorka Azkune,Ander Salaberria The combination of visual and textual representations has produced excellent results in tasks such as image captioning and visual question answering, but the inference capabilities of multimodal representations are largely untested. In the case of textual representations, inference tasks such as… arXiv	2020-01-01
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	2020-01-01
On the Evolution of the Vortex Filament Equation for Regular $M$-Polygons with Nonzero Torsion Authors: de la Hoz, Francisco,Kumar, Sandeep,Vega, Luis 23 pages, 14 figures Society for Industrial & Applied Mathematics (SIAM)	2020-01-01
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	2020-01-01
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	2020-01-01
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	2020-01-01
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)	2020-01-01
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)	2020-01-01
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	2020-01-01
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	2019-12-01
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)	2019-12-01
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)	2019-12-01
jMetalPy: A Python framework for multi-objective optimization with metaheuristics Authors: Izaskun Oregi,José García-Nieto,Javier Del Ser,Javier Del Ser,Antonio J. Nebro,Antonio Benítez-Hidalgo 13 pages, under review in Swarm and Evolutionary Computation journal. Updated version Elsevier BV	2019-12-01
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	2019-11-18
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	2019-11-01
An evolutionary discretized Lambert approach for optimal long-range rendezvous considering impulse limit Authors: Jose A. Lozano,Jose A. Lozano,Abolfazl Shirazi,Abolfazl Shirazi,Josu Ceberio TIN2016-78365R Elsevier BV	2019-11-01
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	2019-11-01
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	2019-11-01
Opening note: third workshop on nonlinear dispersive equations, IMECC-UNICAMP, 2017 Authors: J. Angulo,J. Bona,F. Linares,G. Ponce,L. Vega Springer Science and Business Media LLC	2019-10-22