Publications

A Grouping Harmony Search Algorithm for Assigning Resources to Users in WCDMA Mobile Networks
Authors: Aybar-Ruiz, A.,Cuadra, L.,Salcedo-Sanz, S.,Portilla-Figueras, J.A.,Del Ser, J.
This paper explores the feasibility of a particular implemen- tation of a Grouping Harmony Search (GHS) algorithm to assign re- sources (codes, aggregate capacity, power) to users in Wide-band Code Division Multiple Access (WCDMA) networks. We use a problem for- mulation that takes into account a… Springer Singapore

Joint Feature Selection and Parameter Tuning for Short-Term Traffic Flow Forecasting Based on Heuristically Optimized Multi-layer Neural Networks
Authors: Oregi, I.,Del Ser, J.,Laña, I.,Vélez, M.
Short-term traffic flow forecasting is a vibrant research topic that has been growing in interest since the late 70’s. In the last decade this vibrant field has shifted its focus towards machine learning methods. These techniques often require fine-grained parameter tuning to obtain satisfactory… Springer Singapore

A Novel Grouping Harmony Search Algorithm for Clustering Problems
Authors: Landa-Torres, I.,Del Ser, J.,Manjarres, D.,Gil-Lopez, S.,Salcedo-Sanz, S.
The problem of partitioning a data set into disjoint groups or clusters of related items plays a key role in data analytics, in particular when the information retrieval becomes crucial for further data analysis. In this context, clustering approaches aim at obtaining a good parti- tion of the data… Springer Singapore

Learning bilingual word embeddings with (almost) no bilingual data
Authors: Gorka Labaka,Mikel Artetxe,Eneko Agirre
Most methods to learn bilingual word embeddings rely on large parallel corpora, which is difficult to obtain for most language pairs. This has motivated an active research line to relax this requirement, with methods that use document-aligned corpora or bilingual dictionaries of a few thousand… Association for Computational Linguistics (ACL)

A source time reversal method for seismicity induced by mining
Authors: Brevis, R.I.,Ortega, J.H.,Pardo, D.
In this work, we present a modified Time-Reversal Mirror (TRM) Method, called Source Time Reversal (STR), to find the spatial distribution of a seismic source induced by mining activity. This methodology is based on a known full description of the temporal dependence of the source, the Duhamel's… American Institute of Mathematical Sciences (AIMS)

Quantitative Analysis and Performance Study of Ant Colony Optimization Models Applied to Multi-mode Resource Constraint Project Scheduling Problems
Authors: Gonzalez-Pardo, A.,Del Ser, J.,Camacho, D.
Constraint Satisfaction Problems (CSP) belongs to this kind of traditional NP-hard problems with a high impact in both, research and industrial domains. However, due to the complexity that CSP problems exhibit, researchers are forced to use heuristic algorithms for solving the problems in a… Springer Singapore

Cost-Efficient Selective Network Caching in Large-Area Vehicular Networks Using Multi-objective Heuristics
Authors: Cristina Perfecto,Javier Del Ser,Javier Del Ser,Miren Nekane Bilbao
In the last decade the interest around network caching tech- niques has augmented notably for alleviating the ever-growing demand of resources by end users in mobile networks. This gained momentum stems from the fact that even though the overall volume of traffic re- trieved from Internet has… Springer Singapore

Dimensionally adaptive hp-finite element simulation and inversion of 2D magnetotelluric measurements
Authors: David Pardo,David Pardo,David Pardo,Julen Álvarez-Aramberri
Magnetotelluric (MT) problems often contain different subdomains where the conductivity of the media depends upon one, two, or three spatial variables. Traditionally, when a MT problem incorporates a three-dimensional (3D) subdomain, the numerical method employed for simulation and inversion was 3D… Elsevier BV

Sample Size Impact on the Categorisation of Continuous Variables in Clinical Prediction
Authors: Barrio, I.,Arostegui, I.,Rodríguez-Álvarez, M.X.
Recent advances in information technologies are generating a growth in the amount of available biomedical data. In this paper, we studied the impact sample size may have on the categorisation of a continuous predictor variable in a logistic regression setting. Two different approaches to categorise… Springer International Publishing

Wireless Network Optimization for Massive V2I Data Collection Using Multiobjective Harmony Search Heuristics
Authors: Sobron, I.,Alonso, B.,Del Ser, J.,Vélez, M.
This paper proposes to improve the efficiency of the deploy- ment of wireless network infrastructure for massive data collection from vehicles over regional areas. The increase in the devices that are carried by vehicles makes it especially interesting being able to gain access to that data. From a… Springer Singapore

Semisupervised Multiclass Classification Problems With Scarcity of Labeled Data: A Theoretical Study
Authors: Jose A. Lozano,Iñaki Inza,Jonathan Ortigosa-Hernández
In recent years, the performance of semisupervised learning (SSL) has been theoretically investigated. However, most of this theoretical development has focused on binary classification problems. In this paper, we take it a step further by extending the work of Castelli and Cover to the multiclass… Institute of Electrical and Electronics Engineers (IEEE)

Adaptive multi-stage integrators for optimal energy conservation in molecular simulations
Authors: Jesús María Sanz-Serna,Elena Akhmatskaya,Elena Akhmatskaya,Mario Fernández-Pendás
We introduce a new Adaptive Integration Approach (AIA) to be used in a wide range of molecular simulations. Given a simulation problem and a step size, the method automatically chooses the optimal scheme out of an available family of numerical integrators. Although we focus on two-stage splitting… Elsevier BV

A simulation-based quantitative analysis on the topological heritability of Dandelion-encoded meta-heuristics for tree optimization problems
Authors: Cristina Perfecto,Miren Nekane Bilbao,Javier Del Ser,Armando Ferro
The solutions to many optimization paradigms arising from different application domains can be modeled as a tree graph, in such a way that nodes represent the variables to be optimized and edges evince topological relationships between such variables. In these problems the goal is to infer an… Springer Science and Business Media LLC

An enduring rapidly moving storm as a guide to Saturn’s Equatorial jet’s complex structure
Authors: Sánchez-Lavega, A.,García-Melendo, E.,Perez-Hoyos, S.,Hueso, R.,Wong, M. H.,Simon, A.,Sanz-Requena, J. F.,Antuñano, A.,Barrado-Izagirre, N.,Garate-Lopez, I.,Rojas, J. F.,Gaztelurrutia, T. del Rio,Gómez-Forrellad, J. M.,de Pater, I.,Li, L.,Barry, T.,…
AbstractSaturn has an intense and broad eastward equatorial jet with a complex three-dimensional structure mixed with time variability. The equatorial region experiences strong seasonal insolation variations enhanced by ring shadowing, and three of the six known giant planetary-scale storms have… Springer Science and Business Media LLC

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

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

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

A Probabilistic Sample Matchmaking Strategy for Imbalanced Data Streams with Concept Drift
Authors: Ibai Laña,Miren Nekane Bilbao,Sancho Salcedo-Sanz,Javier Del Ser,Jesus L. Lobo
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

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

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
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, particle… Elsevier BV

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

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

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

Chronic Obstructive Pulmonary Disease Subtypes. Transitions over Time
Authors: Esteban, Cristóbal,Arostegui Madariaga, Inmaculada,Aburto, Myriam,Moraza, Javier,Quintana, José M.,García Loizaga, Amaia,Basualdo, Luis V.,Aramburu, Amaia,Aizpiri, Susana,Uranga, Ane,Capelastegui, Alberto
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)

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