Publications

Displaying 251 - 275 of 1227

Publication	Date
Taming the Latency in Multi-User VR 360°: A QoE-Aware Deep Learning-Aided Multicast Framework Authors: Cristina Perfecto,Mohammed S. Elbamby,Javier Del Ser,Mehdi Bennis Immersive virtual reality (VR) applications require ultra-high data rate and low-latency for smooth operation. Hence in this paper, aiming to improve VR experience in multi-user VR wireless video streaming, a deep-learning aided scheme for maximizing the quality of the delivered video chunks with… Institute of Electrical and Electronics Engineers (IEEE)	2020-04-01
Borehole resistivity simulations of oil-water transition zones with a 1.5D numerical solver Authors: David Pardo,David Pardo,David Pardo,Mostafa Shahriari When simulating borehole resistivity measurements in a reservoir, it is common to consider an oilwater contact (OWC) planar interface. However, this consideration can lead to an unrealistic model since in the presence of capillary actions, the mix of two immiscible fluids (oil and water) often… Springer Science and Business Media LLC	2020-03-19
On the unique continuation of solutions to non-local non-linear dispersive equations Authors: Kenig, C. E.,Pilod, D.,Ponce, G.,Vega, L. 18 pages Informa UK Limited	2020-03-13
Characterization of a local dust storm on Mars with REMS/MSL measurements and MARCI/MRO images Authors: Ricardo Hueso,I. Ordonez-Etxeberria,Agustín Sánchez-Lavega,Álvaro Vicente-Retortillo Abstract The REMS instrument on board the Curiosity rover has been collecting meteorological data from Gale crater on Mars since August 2012. A dust storm that developed north of Gale crater in sol 852 of the Mars Science Laboratory (MSL) mission spread above the location of the Curiosity rover… Elsevier BV	2020-03-01
Small scale experimental validation of a numerical model of the HarshLab2.0 floating platform coupled with a non-linear lumped mass catenary mooring system Authors: Touzon, I.,Nava, V.,Gao, Z.,Mendikoa, I.,Petuya, V. When focusing on mooring system numerical modelling, the efforts are focused on validating models that increase the accuracy and maintain the computation time under reasonable limits. In this paper an approach for modelling the interaction among supporting structure and mooring system is introduced… Elsevier BV	2020-03-01
Uniqueness properties of solutions to the Benjamin-Ono equation and related models Authors: Gustavo Ponce,Luis Vega,Luis Vega,Carlos E. Kenig We prove that if $u_1,\,u_2$ are solutions of the Benjamin-Ono equation defined in $ (x,t)\in\R \times [0,T]$ which agree in an open set $��\subset \R \times [0,T]$, then $u_1\equiv u_2$. We extend this uniqueness result to a general class of equations of Benjamin-Ono type in both the initial value… Elsevier BV	2020-03-01
Exploiting the stimuli encoding scheme of evolving Spiking Neural Networks for stream learning Authors: Lobo, Jesus L.,Oregi, Izaskun,Bifet, Albert,Del Ser, Javier Stream data processing has lately gained momentum with the arrival of new Big Data scenarios and applications dealing with continuously produced information flows. Unfortunately, traditional machine learning algorithms are not prepared to tackle the specific challenges imposed by data stream… Elsevier BV	2020-03-01
Cross-Lingual Word Embeddings. ByAnders Søgaard, Ivan Vulić, Sebastian Ruder, Manaal Faruqui (University of Copenhagen, University of Cambridge, DeepMind, Google Assistant). Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 37), 2019, 132 pp; paperback, ISBN 9781681735725; ebook, ISBN 9781681730646; doi:10.2200/S00920ED2V01Y201904HLT042 Authors: Eneko Agirre MIT Press - Journals	2020-03-01
WHY DEEP LEARNING PERFORMS BETTER THAN CLASSICAL MACHINE LEARNING? Authors: ARTZAI PICON RUIZ,AITOR ALVAREZ GILA,UNAI IRUSTA,JONE ECHAZARRA HUGUET During the last years, deep learning techniques have demonstrated their capability to outperform traditional machine learning methods in completing complex pattern recognition tasks. In this article we will try to explain the reasons behind this. UK Zhende Publishing Limited Company	2020-03-01
Stream Learning in Energy IoT Systems: A Case Study in Combined Cycle Power Plants Authors: Jesus L. Lobo,Igor Ballesteros,Izaskun Oregi,Javier Del Ser,Sancho Salcedo-Sanz The prediction of electrical power produced in combined cycle power plants is a key challenge in the electrical power and energy systems field. This power production can vary depending on environmental variables, such as temperature, pressure, and humidity. Thus, the business problem is how to… MDPI AG	2020-02-08
Magnetic field-based arc stability sensor for electric arc furnaces Authors: Asier Vicente,Artzai Picon,Jose Antonio Arteche,Miguel Linares,Arturo Velasco,Jose Angel Sainz During the last decades the strategy to define the optimal Electric Arc Furnaces (EAF) electrical operational parameters has been constantly evolving. Foaming slag practice is currently used to allow high power factors that ensures higher energy efficiency. However, this performance depends on… Elsevier BV	2020-02-01
Bioinspired Computational Intelligence and Transportation Systems: A Long Road Ahead Authors: Javier Del Ser,Eneko Osaba,Javier J. Sanchez-Medina,Iztok Fister,Iztok Fister This paper capitalizes on the increasingly high relevance gained by data-intensive technologies in the development of intelligent transportation system, which calls for the progressive adoption of adaptive, self-learning methods for solving modeling, simulation, and optimization problems. In this… Institute of Electrical and Electronics Engineers (IEEE)	2020-02-01
Community detection in networks using bio-inspired optimization: Latest developments, new results and perspectives with a selection of recent meta-heuristics Authors: Javier Del Ser,Javier Del Ser,David Camacho,Eneko Osaba,Xin-She Yang,Miren Nekane Bilbao Detecting groups within a set of interconnected nodes is a widely addressed prob- lem that can model a diversity of applications. Unfortunately, detecting the opti- mal partition of a network is a computationally demanding task, usually conducted by means of optimization methods. Among them,… Elsevier BV	2020-02-01
An optimal scaling to computationally tractable dimensionless models: Study of latex particles morphology formation Authors: Elena Akhmatskaya,Elena Akhmatskaya,Denys Dutykh,Simone Rusconi,Dmitri Sokolovski,Dmitri Sokolovski,Arghir Zarnescu,Arghir Zarnescu,Arghir Zarnescu In modelling of chemical, physical or biological systems it may occur that the coefficients, multiplying various terms in the equation of interest, differ greatly in magnitude, if a particular system of units is used. Such is, for instance, the case of the Population Balance Equations (PBE)… Elsevier BV	2020-02-01
On the design of hybrid bio‐inspired meta‐heuristics for complex multiattribute vehicle routing problems Authors: Ana‐Maria Nogareda,Javier Del Ser,Eneko Osaba,David Camacho AbstractThis paper addresses a multiattribute vehicle routing problem, the rich vehicle routing problem, with time constraints, heterogeneous fleet, multiple depots, multiple routes, and incompatibilities of goods. Four different approaches are presented and applied to 15 real datasets. They are… Wiley	2020-01-28
An Intelligent Procedure for the Methodology of Energy Consumption in Industrial Environments Authors: Adelaida Lejarazu,Izaskun Mendia,Javier Del Ser,Erik Maqueda,Sergio Gil-Lopez,Iñaki Grau,Eugenio Perea 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
COEBA: A Coevolutionary Bat Algorithm for Discrete Evolutionary Multitasking Authors: Eneko Osaba,Xin-She Yang,Andrés Iglesias,Akemi Gálvez,Javier Del Ser 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
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
Data Augmentation for Industrial Prognosis Using Generative Adversarial Networks Authors: Alberto Diez-Olivan,Basilio Sierra,Patxi Ortego,Javier Del Ser 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
Visualization of Numerical Association Rules by Hill Slopes Authors: Akemi Gálvez,Eneko Osaba,Javier Del Ser,Andrés Iglesias,Iztok Fister,Dušan Fister,Iztok FisterJr. 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