Publications

Displaying 576 - 600 of 1307

Publication	Date
The role of local urban traffic and meteorological conditions in air pollution: A data-based case study in Madrid, Spain Authors: Manuel Velez,C. Casanova-Mateo,Javier Del Ser,Javier Del Ser,Ibai Laña,Ales Padró Urban air pollution is a matter of growing concern for both public adminis- trations and citizens. Road traffic is one of the main sources of air pollutants, though topography characteristics and meteorological conditions can make pollution levels increase or diminish dramatically. In this context… Elsevier BV	2016-11-01
A feature selection method for author identification in interactive communications based on supervised learning and language typicality Authors: Sancho Salcedo-Sanz,Miren Nekane Bilbao,Javier Del Ser,Javier Del Ser,Esther Villar-Rodriguez Authorship attribution, conceived as the identification of the origin of a text be- tween different authors, has been a very active area of research in the scientific community mainly supported by advances in Natural Language Processing (NLP), machine learning and Computational Intelligence. This… Elsevier BV	2016-11-01
Operational Modal Analysis of a Spar-Type Floating Platform Using Frequency Domain Decomposition Method Authors: Carlo Ruzzo,Giuseppe Failla,Maurizio Collu,Vincenzo Nava,Vincenzo Fiamma,Felice Arena System identification of offshore floating platforms is usually performed by testing small-scale models in wave tanks, where controlled conditions, such as still water for free decay tests, regular and irregular wave loading can be represented. However, this approach may result in constraints on… MDPI AG	2016-10-26
A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept Drift Authors: L. Lobo, Jesus,Del Ser, Javier,Bilbao, Miren Nekane,Laña, Ibai,Salcedo-Sanz, Sancho In the last decade the interest in adaptive models for non-stationary environments has gained momentum within the research community due to an increasing number of application scenarios generating non-stationary data streams. In this context the literature has been specially rich in terms of… Springer International Publishing	2016-10-08
On the Application of Bio-inspired Heuristics for Network Routing with Multiple QoS Constraints Authors: Javier Del Ser,Xabier Albizu Landa,Miren Nekane Bilbao,Cristina Perfecto Since the advent of Telecommunication networks in the early 60’s, routing has become a recurrent problem with evergrowing complexity due to the simultaneous share of resources, stringent Quality of Service (QoS) constraints and unmanageable network scales (size, speed and exchanged data volume) by… Springer International Publishing	2016-10-08
Saturn’s tropospheric particles phase function and spatial distribution from Cassini ISS 2010–11 observations Authors: Santiago Pérez-Hoyos,José Francisco Sanz-Requena,Agustín Sánchez-Lavega,Patrick G.J. Irwin,Andrew Smith Abstract The phase function describes the way particles scatter the incoming radiation. This is a fundamental piece of knowledge in order to understand how a planetary atmosphere scatters sunlight and so it has a profound influence in the retrieved atmospheric properties such as cloud height,… Elsevier BV	2016-10-01
The Hera Saturn entry probe mission Authors: J. H. Waite,P. Levacher,S. B. Calcutt,Thibault Cavalié,Agustín Sánchez-Lavega,Christoph U. Keller,Anthony Colaprete,Tristan Guillot,Shahid Aslam,O. Mousis,David H. Atkinson,J. Poncy,Daphne Stam,Athena Coustenis,Francesca Ferri,G. S. Orton,J. J. Fortney,… Accepted for publication in Planetary and Space Science Elsevier BV	2016-10-01
A quadrature-free method for simulation and inversion of 1.5D direct current (DC) borehole measurements Authors: Ignacio Muga,David Pardo,David Pardo,David Pardo,Sergio Rojas Resistivity inverse problems are routinely solved in order to characterize hydrocarbon bearing formations. They often require a large number of forward problems simulations. When considering a one dimensional (1D) planarly layered media, semi-analytical methods can be employed in order to solve a… Springer Science and Business Media LLC	2016-09-30
Cognitive workload classification using eye-tracking and EEG data Authors: Jesus L. Lobo,Simona Collina,Roberta Presta,Javier Del Ser,Flavia De Simone,Zdenek Moravek It has been shown that an increased mental workload in pilots could lead to a decrease in their situation awareness, which could lead, in turn, to a worse piloting performance and ultimately to critical human errors. Assessing the current pilot's psycho-physiological state is a hot topic of… ACM	2016-09-14
Chronic Obstructive Pulmonary Disease Subtypes. Transitions over Time Authors: Esteban, C.,Arostegui, I.,Aburto, M.,Moraza, J.,Quintana, J.M.,García-Loizaga, A.,Basualdo, L.V.,Aramburu, A.,Aizpiri, S.,Uranga, A.,Capelastegui, A. Although subtypes of chronic obstructive pulmonary disease are recognized, it is unknown what happens to these subtypes over time. Our objectives were to assess the stability of cluster-based subtypes in patients with stable disease and explore changes in clusters over 1 year.Multiple… Public Library of Science (PLoS)	2016-09-09
Application of Entropy-Based Features to Predict Defibrillation Outcome in Cardiac Arrest Authors: Beatriz Chicote,Unai Irusta,Raúl Alcaraz,José Rieta,Elisabete Aramendi,Iraia Isasi,Daniel Alonso,Karlos Ibarguren Prediction of defibrillation success is of vital importance to guide therapy and improve the survival of patients suffering out-of-hospital cardiac arrest (OHCA). Currently, the most efficient methods to predict shock success are based on the analysis of the electrocardiogram (ECG) during… MDPI AG	2016-08-24
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
A novel Grouping Coral Reefs Optimization algorithm for optimal mobile network deployment problems under electromagnetic pollution and capacity control criteria Authors: Salcedo-Sanz, Sancho,Garcia-Diaz, Pilar,Del Ser, Javier,Bilbao, Miren Nekane,Portilla-Figueras, Jose Antonio A new grouping Coral Reefs Optimization algorithm is presented.A problem of mobile network deployment with pollution control is tackled.A real case-study in Alcala de Henares (Madrid) is discussed.Comparison with state of the art algorithms shows excellent performance of the proposed algorithm.… Elsevier BV	2016-08-01
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
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: Carlos Figuera,Unai Irusta,Eduardo Morgado,Elisabete Aramendi,Unai Ayala,Lars Wik,Jo Kramer-Johansen,Trygve Eftestøl,Felipe Alonso-Atienza 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
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
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: Kretzschmar, Uli,Gomez-Cornejo, Julen,Astarloa, Armando,Bidarte, Unai,Del Ser, Javier Abstract 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… 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
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