Publications

A novel Grouping Coral Reefs Optimization algorithm for optimal mobile network deployment problems under electromagnetic pollution and capacity control criteria
Authors: Salcedo Sanz, Sancho,García Díaz, María del Pilar,Ser Lorente, Javier del,Nekane Bilbao, Miren,Portilla Figueras, José 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

Progress on the experimental set-up for the testing of a floating offshore wind turbine scaled model in a field site
Authors: Ruzzo C.,Fiamma V.,Nava V.,Collu M.,Failla G.,Arena F.
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

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

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)

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

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

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

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

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

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

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

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

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

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)

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… SAGE Publications

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

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)

A Tunable Generator of Instances of Permutation-Based Combinatorial Optimization Problems
Authors: Hernando, Leticia,Mendiburu, Alexander,Lozano, Jose A.
[EN]In this paper, we propose a tunable generator of instances of permutation-based Combinatorial Optimization Problems. Our approach is based on a probabilistic model for permutations, called the Generalized Mallows model. The generator depends on a set of parameters that permits the control of… Institute of Electrical and Electronics Engineers (IEEE)

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

Construct, Merge, Solve & Adapt A new general algorithm for combinatorial optimization
Authors: Blum, Christian,Pinacho, Pedro,Lopez-Ibanez, Manuel,Lozano, Jose A
Peer reviewed
Elsevier BV

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

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

Sustainable tourism planning and climate change adaptation in the Alps: a case study of winter tourism in mountain communities in the Dolomites
Authors: Laura Bonzanigo,Carlo Giupponi,Stefano Balbi
ABSTRACTA vast body of literature suggests that the European Alpine Region is extremely sensitive to climate change. Winter tourism is closely related to climate variations, especially in mountain regions where resorts are heavily dependent on snow. This paper explores how to effectively integrate… Informa UK Limited

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
Comunicació presentada al IS&T International Symposium on Electronic Imaging, celebrat del 14 al 18 de febrer de 2016 a San Francisco (CA, USA) i organitzat per la Society for Imaging Science and Technology. The retinex theory of color vision has been a light of inspiration for color… Society for Imaging Science & Technology

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