Publications

Displaying 301 - 325 of 1351

Publication	Date
On the unique continuation of solutions to non-local non-linear dispersive equations Authors: Kenig, C.E.,Pilod, Didier Jacques Francois,Ponce, G.,Vega, L. 18 pages Informa UK Limited	2020-03-13
Type and Consequences of Short-Term Complications in Colon Cancer Surgery, Focusing on the Oldest Old Authors: Marisa Baré,Laura Mora,Miguel Pera,Pablo Collera,Maximino Redondo,Antonio Escobar,Rocío Anula,José María Quintana,M. Redondo,F. Rivas,E. Briones,E. Campano,A.I. Sotelo,F. Medina,A. Del Rey,M.M. Morales,S. Gómez,M. Baré,M. Pont,N. Torà,R. Terraza,M. Lleal… While the proportion of colon cancer occurring in older patients is expected to increase, these patients may have more complications that may lead to serious consequences. The aim of this study was assess postoperative complications and their short-term consequences in colon cancer surgery… 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
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
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 Abstract 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… 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 30 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
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: 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
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
Observations and numerical modelling of a convective disturbance in a large-scale cyclone in Jupiter’s South Temperate Belt Authors: Santiago Pérez-Hoyos,Agustín Sánchez-Lavega,Jon Legarreta,P. Iñurrigarro,Ricardo Hueso,Gerald Eichstädt,Jose Félix Rojas,J. M. Gómez-Forrellad,G. S. Orton,C. J. Hansen,John H. Rogers 73 pages, 18 figures, manuscript available online in Icarus Elsevier BV	2020-01-01
Exploring Gaps in DeepFool in Search of More Effective Adversarial Perturbations Authors: Jose A. Lozano,Jose A. Lozano,Jon Vadillo,Roberto Santana IT1244-19 PRE_2019_1_0128 TIN2016-78365-R PID2019-104966GB-I00 FPU19/03231 Springer International Publishing	2020-01-01