Publications

Displaying 551 - 575 of 1227

Publication	Date
Introducing gravitational resonances from simple observations of Jupiter’s Galilean satellites Authors: I Ordonez-Etxeberria,A Sánchez-Lavega,T del Rio-Gaztelurrutia We introduce a simple observation methodology to measure the orbital longitudes and mean motions of Jupiter Galilean satellites in order to verify the Laplace resonance phenomenon between Io, Europa and Ganymede (an orbital period commensurability 1:2:4 and an equation that relates their orbital… IOP Publishing	2016-08-17
A novel Coral Reefs Optimization algorithm with substrate layers for optimal battery scheduling optimization in micro-grids Authors: R. Mallol-Poyato,Carlos Camacho-Gómez,Silvia Jiménez-Fernández,Sancho Salcedo-Sanz,J. Del Ser In this paper we propose a Coral Reefs Optimization algorithm with substrate layers (CRO-SL) to tackle the battery scheduling optimization problem in micro-grids (MGs). Specifically, we consider a MG that includes renewable generation and different loads, defined by their power profiles, and is… Springer Science and Business Media LLC	2016-08-08
Progress on the experimental set-up for the testing of a floating offshore wind turbine scaled model in a field site Authors: Ruzzo, Carlo,Fiamma, Vincenzo,Nava, Vincenzo,Collu, Maurizio,Failla, Giuseppe,Arena, Felice This document describes design and realization of a small-scale field experiment on a 1:30 model of spar floating support structure for offshore wind turbines. The aim of the experiment is to investigate the dynamic behaviour of the floating wind turbine under extreme wave and parked rotor… SAGE Publications	2016-08-01
A novel Grouping Coral Reefs Optimization algorithm for optimal mobile network deployment problems under electromagnetic pollution and capacity control criteria Authors: Jose A. Portilla-Figueras,Miren Nekane Bilbao,Javier Del Ser,Sancho Salcedo-Sanz,P. Garcia-Diaz This paper proposes a novel optimization algorithm for grouping problems, the Grouping Coral Reefs Optimization algorithm, and describes its application to a Mobile Network Deployment Problem (MNDP) under four optimization criteria. These criteria include economical cost and coverage, and also… Elsevier BV	2016-08-01
Transfer weight functions for injecting problem information in the multi-objective CMA-ES Authors: Olacir R. Castro,Aurora Pozo,Jose A. Lozano,Roberto Santana The covariance matrix adaptation evolution strategy (CMA-ES) is one of the state-of-the-art evolutionary algorithms for optimization problems with continuous representation. It has been extensively applied to single-objective optimization problems, and different variants of CMA-ES have also been… Springer Science and Business Media LLC	2016-07-28
Machine Learning Techniques for the Detection of Shockable Rhythms in Automated External Defibrillators Authors: Figuera, Carlos,Irusta, Unai,Morgado, Eduardo,Aramendi, Elisabete,Ayala, Unai,Wik, Lars,Kramer-Johansen, Jo,Eftestøl, Trygve,Alonso-Atienza, Felipe Early recognition of ventricular fibrillation (VF) and electrical therapy are key for the survival of out-of-hospital cardiac arrest (OHCA) patients treated with automated external defibrillators (AED). AED algorithms for VF-detection are customarily assessed using Holter recordings from public… Public Library of Science (PLoS)	2016-07-21
Learning from Proportions of Positive and Unlabeled Examples Authors: Jose A. Lozano,Jose A. Lozano,Jerónimo Hernández-González,Iñaki Inza Weakly supervised classification tries to learn from data sets which are not certainly labeled. Many problems, with different natures of partial labeling, fit this description. In this paper, the novel problem of learning from positive-unlabeled proportions is presented. The provided examples are… Wiley	2016-07-09
Identifying recommendation opportunities for computer‐supported collaborative environments Authors: Jesus L. Lobo,Olga C. Santos,Jesus G. Boticario,Javier Del Ser AbstractCollaborative indicators derived from participants' interactions can be used to support and improve their collaborative behaviour. In this research, we focus on automatically identifying recommendation opportunities in the Collaborative Logical Framework from participants' interactions.… Wiley	2016-07-08
Community detection in graphs based on surprise maximization using firefly heuristics Authors: Jesus L. Lobo,Javier Del Ser,Esther Villar-Rodriguez,Miren Nekane Bilbao,Cristina Perfecto The detection of node clusters (communities) in graphs has been at the core of many modeling paradigms emerging in different fields and disciplines such as Social Sciences, Biology, Chemistry, Telecommunications and Linguistics. When evaluating the quality of a clustering arrangement unsupervised… IEEE	2016-07-01
Synchronization of faulty processors in coarse-grained TMR protected partially reconfigurable FPGA designs Authors: Uli Kretzschmar,Unai Bidarte,Armando Astarloa,J. Del Ser,Julen Gomez-Cornejo The expansion of FPGA technology in numerous application fields is a fact. Single Event Effects (SEE) are a critical factor for the reliability of FPGA based systems. For this reason, a number of researches have been studying fault tolerance techniques to harden different elements of FPGA designs.… Elsevier BV	2016-07-01
A novel adaptive density-based ACO algorithm with minimal encoding redundancy for clustering problems Authors: Villar-Rodriguez, E.,Gonzalez-Pardo, A.,Del Ser, J.,Bilbao, M.N.,Salcedo-Sanz, S. In the so-called Big Data paradigm descriptive analytics are widely conceived as techniques and models aimed at discovering knowledge within unlabeled datasets (e.g. patterns, similarities, etc) of utmost help for subsequent predictive and prescriptive methods. One of these techniques is clustering… IEEE	2016-07-01
Bayesian optimization for parameter tuning in evolutionary algorithms Authors: Alexander Mendiburu,Josu Ceberio,Ibai Roman,Jose A. Lozano Advances in evolutionary computation have demonstrated that Evolutionary Algorithms (EAs) proposed in this area are a solid alternative for solving combinatorial and continuous optimization problems. Despite their success in innumerable real-world scenarios, EAs depend on a set of input parameters… IEEE	2016-07-01
Efficient approximation of probability distributions with k-order decomposable models Authors: Pérez, A.,Inza, I.,Lozano, J.A. During the last decades several learning algorithms have been proposed to learn probability distributions based on decomposable models. Some of these algorithms can be used to search for a maximum likelihood decomposable model with a given maximum clique size, k. Unfortunately, the problem of… Elsevier BV	2016-07-01
Vine copula classifiers for the mind reading problem Authors: Jose A. Lozano,Jose A. Lozano,Diana Carrera,Roberto Santana In this paper we introduce vine copulas to model probabilistic dependencies in supervised classification problems. Vine copulas allow the representation of the dependence structure of multidimensional distributions as a factorization of bivariate pair-copulas. The flexibility of this model lies in… Springer Science and Business Media LLC	2016-06-20
Sampling and Learning Mallows and Generalized Mallows Models Under the Cayley Distance Authors: Ekhine Irurozki,Borja Calvo,Jose A. Lozano The Mallows and Generalized Mallows models are compact yet powerful and natural ways of representing a probability distribution over the space of permutations. In this paper, we deal with the problems of sampling and learning such distributions when the metric on permutations is the Cayley distance… Springer Science and Business Media LLC	2016-06-20
A Sparse Spectral Clustering Framework via Multiobjective Evolutionary Algorithm Authors: Juanjuan Luo,Jose A. Lozano,Licheng Jiao This paper introduces sparse representation into spectral clustering and provides a sparse spectral clustering framework via a multiobjective evolutionary algorithm. In contrast to conventional spectral clustering, the main contribution of this paper is to construct the similarity matrix using a… Institute of Electrical and Electronics Engineers (IEEE)	2016-06-01
Fitting the data from embryo implantation prediction: Learning from label proportions Authors: Jerónimo Hernández-González,María J Iñarra,Jose A. Lozano,Jose A. Lozano,Iñaki Inza,Lorena Crisol-Ortíz,María A Guembe Machine learning techniques have been previously used to assist clinicians to select embryos for human-assisted reproduction. This work aims to show how an appropriate modeling of the problem can contribute to improve machine learning techniques for embryo selection. In this study, a dataset of 330… SAGE Publications	2016-05-30
Reliable early classification of time series based on discriminating the classes over time Authors: Alexander Mendiburu,Usue Mori,Jose A. Lozano,Eamonn Keogh The goal of early classification of time series is to predict the class value of a sequence early in time, when its full length is not yet available. This problem arises naturally in many contexts where the data is collected over time and the label predictions have to be made as soon as possible.… Springer Science and Business Media LLC	2016-04-29
Understanding daily mobility patterns in urban road networks using traffic flow analytics Authors: Javier Del Ser,Ibai Laña,Ignacio Olabarrieta The MoveUs project funded by the European Commission aims to foster sustainable eco-friendly mobility habits in cities. In this context predicting the traffic flow is useful for managers to optimize the configuration of the road network towards reducing the congestions and ultimately, the pollution… IEEE	2016-04-01
Potential vorticity of the south polar vortex of Venus Authors: Ricardo Hueso,I. Garate-Lopez,Agustín Sánchez-Lavega,A. García Muñoz,A. García Muñoz AbstractVenus' atmosphere shows highly variable warm vortices over both of the planet's poles. The nature of the mechanism behind their formation and properties is still unknown. Potential vorticity is a conserved quantity when advective processes dominate over friction and diabatic heating and is… American Geophysical Union (AGU)	2016-04-01
Erantzunen kalifikazio automatikorako lehen urratsak Authors: Agirre Bengoa, Eneko,Aldabe Arregi, Itziar,López de Lacalle Lecuona, Oier,López Gazpio, Iñigo,Maritxalar Anglada, Montse Lan honetan erantzunen kalifikazio automatikorako lehen urratsak azaltzen ditugu. Urrats horiek azaltzeko irakaskuntzaren domeinuko bi sistema deskribatzen ditugu:bata, erantzunak hierarkikoki antolatzen eta kalifikatzen dituena; eta, bestea, kalifikazioaren azalpena emateko asmoz, erantzunaren… UPV/EHU Press	2016-03-18
Spatial distribution of jovian clouds, hazes and colors from Cassini ISS multi-spectral images Authors: Agustín Sánchez-Lavega,Santiago Pérez-Hoyos,Ricardo Hueso,I. Ordonez-Etxeberria The Cassini spacecraft made a gravity assist flyby of Jupiter in December 2000. The Imaging Science Subsystem (ISS) acquired images of the planet that covered the visual range with filters sensitive to the distribution of clouds and hazes, their altitudes and color. We use a selection of these… Elsevier BV	2016-03-01
Image processing applications through a variational perceptually-based color correction related to Retinex Authors: Bertalmío,Javier Vazquez-Corral,Adrian Galdran,David Pardo,Syed Waqas Zamir,Marcelo The retinex theory of color vision has been a light of inspiration for color researchers since its inception 50 years ago. It has been adapted to work for different goals such as shadow removal, high dynamic range imaging, or computational color constancy. Back in 2007 a variational perceptually-… Society for Imaging Science & Technology	2016-02-14
Estimation of the Distribution Algorithm With a Stochastic Local Search for Uncertain Capacitated Arc Routing Problems Authors: Juan Wang,Ke Tang,Jose A. Lozano,Xin Yao The uncertain capacitated arc routing problem is a challenging problem in which the demands of tasks, the costs of edges, and the presence of tasks and edges are uncertain. The objective of this problem is to find a robust optimal solution for a finite set of possible scenarios. In this paper, we… Institute of Electrical and Electronics Engineers (IEEE)	2016-02-01
Circulation detection using the electrocardiogram and the thoracic impedance acquired by defibrillation pads Authors: Erik Alonso,Elisabete Aramendi,Mohamud Daya,Unai Irusta,Beatriz Chicote,James K. Russell,Larisa G. Tereshchenko To develop and evaluate a method to detect circulation in the presence of organized rhythms (ORs) during resuscitation using signals acquired by defibrillation pads.Segments containing electrocardiogram (ECG) and thoracic impedance (TI) signals free of artifacts were used. The ECG corresponded to… Elsevier BV	2016-02-01