Publications

Solving strategy board games using a CSP-based ACO approach
Authors: Antonio Gonzalez-Pardo,Javier Del Ser,David Camacho
In the last years, there have been a huge increase in the number of research contributions that use games and video-games as an application domain for testing different artificial intelligence algorithms. Some of these problems can be represented as a constraint satisfaction problem (CSP), and… Inderscience Publishers

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

Analyzing the Performance of Allocation Strategies Based on Space-Filling Curves
Authors: Jose Miguel-Alonso,Jose A. Lozano,Jose A. Lozano,Jose Antonio Pascual
Future exascale supercomputers will be composed of thousands of nodes. In those massive systems, the search for physically close nodes will become essential to deliver an optimal environment to execute parallel applications. Schedulers manage those resources, shared by many users and jobs,… Springer International Publishing

Optimally refined isogeometric analysis
Authors: Michael Bartoň,Daniel Garcia,David Pardo,David Pardo,David Pardo
Performance of direct solvers strongly depends upon the employed discretization method. In particular, it is possible to improve the performance of solving Isogeometric Analysis (IGA) discretizations by introducing multiple C-continuity hyperplanes that act as separators during LU factorization [8… Elsevier BV

A multi-objective memetic inverse solver reinforced by local optimization methods
Authors: David Pardo,David Pardo,David Pardo,Ewa Gajda-Zagórska,Ewa Gajda-Zagórska,Maciej Smołka,Robert Schaefer,Julen Álvarez-Aramberri
We propose a new memetic strategy that can solve the multi-physics, complex inverse problems, formulated as the multi-objective optimization ones, in which objectives are misfits between the measured and simulated states of various governing processes. The multi-deme structure of the strategy… Elsevier BV

Feasibility of the capnogram to monitor ventilation rate during cardiopulmonary resuscitation
Authors: Elisabete Aramendi,Andoni Elola,Erik Alonso,Unai Irusta,Mohamud Daya,James K. Russell,Pia Hubner,Fritz Sterz
The rates of chest compressions (CCs) and ventilations are both important metrics to monitor the quality of cardiopulmonary resuscitation (CPR). Capnography permits monitoring ventilation, but the CCs provided during CPR corrupt the capnogram and compromise the accuracy of automatic ventilation… Elsevier BV

ICCS 2017 Workshop on Agent-Based Simulations, Adaptive Algorithms and Solvers
Authors: Byrski, A.,Paszyński, M.,Schaefer, R.,Calo, V.,Pardo, D.
This workshop seeks to integrate results from different domains of computer science, computational science, and mathematics. We welcome simulation papers, either hard simulations using finite element or finite difference methods, or soft simulations by means of evolutionary computations, and… Elsevier BV

On-Line Dynamic Time Warping for Streaming Time Series
Authors: Aritz Pérez,Javier Del Ser,Javier Del Ser,Jose A. Lozano,Jose A. Lozano,Izaskun Oregi
Dynamic Time Warping is a well-known measure of dissimilarity between time series. Due to its flexibility to deal with non-linear distortions along the time axis, this measure has been widely utilized in machine learning models for this particular kind of data. Nowadays, the proliferation of… Springer International Publishing

An Analysis of Coalition-Competition Pricing Strategies for Multi-operator Mobile Traffic Offloading Using Bi-objective Heuristics
Authors: Consul, J.,Perfecto, C.,Del Ser, J.,Bilbao, M.N.
In a competitive market relationships between telecommuni- cations operators serving simultaneously over a certain geographical area are diverse and motivated by very different business strategies and goals. Such relationships ultimately yield distinct pricing portfolios depending on the… Springer Singapore

A Heuristically Optimized Complex Event Processing Engine for Big Data Stream Analytics
Authors: Ana I. Torre-Bastida,Javier Del Ser,Javier Del Ser,Ibai Laña,Ignacio Olabarrieta,Sergio Campos-Cordobés
This paper describes a Big Data stream analytics platform developed within the DEWI project for processing upcoming events from wireless sensors installed in a truck. The platform consists of a Complex Event Processing (CEP) engine capable of triggering alarms from a predefined set of rules. In… Springer Singapore

Assessment of van der Waals inclusive density functional theory methods for layered electroactive materials
Authors: Bruno Escribano,Javier Carrasco,Ariel Lozano,Elena Akhmatskaya,Elena Akhmatskaya

This work provides solid guidance for the selection of accurate and robust vdW-inclusive methods for high-throughput computational screening of layered electroactive materials.

Goal-Oriented p -Adaptivity using Unconventional Error Representations for a 1D Steady State Convection-Diffusion Problem
Authors: Ángel Rodríguez-Rozas,Ángel Rodríguez-Rozas,Vincent Darrigrand,Vincent Darrigrand,Ignacio Muga,David Pardo,David Pardo,David Pardo
This work proposes the use of an alternative error representation for Goal-Oriented Adaptivity (GOA) in context of steady state convection dominated diffusion problems. It introduces an arbitrary operator for the computation of the error of an alternative dual problem. From the new representation,… Elsevier BV

KETpic-Matlab Toolbox for LaTeX High-Quality Graphical Artwork in Educational Materials on Bézier Curve Algorithms at a Master Level
Authors: Akemi Gálvez,Akemi Gálvez,Javier Del Ser,Javier Del Ser,Andrés Iglesias,Andrés Iglesias,Setsuo Takato,Masataka Kaneko
This paper introduces a new toolbox to generate high-quality graphical artwork about the main algorithms for Bézier curves and related topics. The package has been implemented by the authors as a supporting middleware tool to generate educational materials for a computer-aided geometric design (… Springer International Publishing

Solving Strategy Board Games using a CSP-based ACO Approach
Authors: Antonio Gonzalez-Pardo,Javier Del Ser,David Camacho
In the last years, there have been a huge increase in the number of research contributions that use games and video-games as an application domain for testing different artificial intelligence algorithms. Some of these problems can be represented as a constraint satisfaction problem (CSP), and… Inderscience Publishers

A meta-heuristic learning approach for the non-intrusive detection of impersonation attacks in social networks
Authors: Miren Nekane Bilbao,Javier Del Ser,Sancho Salcedo-Sanz,Esther Villar-Rodriguez,Sergio Gil-Lopez
Cyber attacks have recently gained momentum in the research community as a sharply concerning phenomenon further ignited by the proliferation of social networks, which unfold a variety of ways for cybercriminals to access compromised information of their users. This paper gravitates on… Inderscience Publishers

Output-only identification of rigid body motions of floating structures: a case study
Authors: Ruzzo C.,Failla G.,Collu M.,Nava V.,Fiamma V.,Arena F.
In order to identify rigid body motions of floating offshore structures, output-only techniques are very useful for developing low-cost intermediate-scale experimental activities directly into the sea, instead of wave tanks. A crucial parameter, however, is the length of the response records used… Elsevier BV

A Meta-heuristic Learning Approach for the Non-Intrusive Detection of Impersonation Attacks in Social Networks
Authors: Miren Nekane Bilbao,Javier Del Ser,Sancho Salcedo-Sanz,Esther Villar-Rodriguez,Sergio Gil-Lopez
Cyber attacks have recently gained momentum in the research community as a sharply concerning phenomenon further ignited by the proliferation of social networks, which unfold a variety of ways for cybercriminals to access compromised information of their users. This paper gravitates on… Inderscience Publishers

The Weighted Independent Domination Problem: ILP Model and Algorithmic Approaches
Authors: Pedro Pinacho Davidson,Pedro Pinacho Davidson,Christian Blum,Jose A. Lozano,Jose A. Lozano
This work deals with the so-called weighted independent domination problem, which is an N P -hard combinatorial optimization problem in graphs. In contrast to previous theoretical work from the liter- ature, this paper considers the problem from an algorithmic perspective. The first contribution… Springer International Publishing

On the Creation of Diverse Ensembles for Nonstationary Environments Using Bio-inspired Heuristics
Authors: Lobo, J.L.,Del Ser, J.,Villar-Rodriguez, E.,Salcedo-Sanz, S.,Bilbao, M.N.
Recently the relevance of adaptive models for dynamic data environments has turned into a hot topic due to the vast number of sce- narios generating nonstationary data streams. When a change (concept drift) in data distribution occurs, the ensembles of models trained over these data sources are… Springer Singapore

Optimal Phase Swapping in Low Voltage Distribution Networks Based on Smart Meter Data and Optimization Heuristics
Authors: Mendia, Izaskun,Gil-López, Sergio,Del Ser, Javier,Bordagaray, Ana González,Prado, Jesús García,Vélez, Manuel
In this paper a modified version of the Harmony Search algorithm is proposed as a novel tool for phase swapping in Low Voltage Distribution Networks where the objective is to determine to which phase each load should be connected in order to reduce the unbalance when all phases are added into the… Springer Singapore

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: Artetxe Zurutuza, Mikel,Labaka Intxauspe, Gorka,Agirre Bengoa, Eneko
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, Rodrigo I.,Ortega Palma, Jaime,Pardo, David
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)