Publications

Displaying 276 - 300 of 1307

Publication	Date
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
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, Imanol,Nava, Vincenzo,Gao, Zhen,Mendikoa, Iñigo,Petuya, Victor 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
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
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
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
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
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
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
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
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
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	2020-01-01
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	2020-01-01
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	2020-01-01
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)	2020-01-01
Spiking Neural Networks and online learning: An overview and perspectives Authors: Lobo, Jesus L.,Del Ser, Javier,Bifet, Albert,Kasabov, Nikola Applications that generate huge amounts of data in the form of fast streams are becoming increasingly prevalent, being therefore necessary to learn in an online manner. These conditions usually impose memory and processing time restrictions, and they often turn into evolving environments where a… Elsevier BV	2020-01-01
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)	2020-01-01
Automatic Evaluation vs. User Preference in Neural Textual QuestionAnswering over COVID-19 Scientific Literature Authors: Gorka Azkune,Arantxa Otegi,Eneko Agirre,Jon Ander Campos,Aitor Soroa Association for Computational Linguistics (ACL)	2020-01-01
Distributed Coordination of Heterogeneous Robotic Swarms Using Stochastic Diffusion Search Authors: Osaba, Eneko,Del Ser, Javier,Jubeto, Xabier,Iglesias, Andrés,Fister, Iztok,Gálvez, Akemi,Fister, Iztok The term Swarm Robotics collectively refers to a population of robotic devices that efficiently undertakes diverse tasks in a collaborative way by virtue of computational intelligence techniques. This paradigm has given rise to a profitable stream of contributions in recent years, all sharing a… Springer International Publishing	2020-01-01
A Novel Metaheuristic Approach for Loss Reduction and Voltage Profile Improvement in Power Distribution Networks Based on Simultaneous Placement and Sizing of Distributed Generators and Shunt Capacitor Banks Authors: Nasir, Mohammad,Sadollah, Ali,Osaba, Eneko,Del Ser, Javier In this paper, Neural Network Algorithm is employed for simultaneous placing and sizing Distributed Generators and Shunt Capacitors Banks in distribution network to minimize active power loss and improve the voltage profile. The NNA is a novel developed optimizer based on the concept of artificial… Springer International Publishing	2020-01-01
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
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