A local search method for graph clustering heuristics based on partitional Distribution learning
Authors: Itziar Landa-Torres,Javier Del Ser,Diana Manjarres
The community structure of complex networks reveals hidden relationships in the organization of their constituent nodes. Indeed, many practical problems stemming from different fields of knowledge such as Biology, Sociology, Chemistry and Computer Science can be modeled as a graph. Therefore, graph…
IEEE
Are we generating instances uniformly at random?
Authors: Alexander Mendiburu,Josu Ceberio,Jose A. Lozano
In evolutionary computation, it is common practice to use sets of instances as test-beds for evaluating and comparing the performance of new optimisation algorithms. In some cases, real-world instances are available, and, thus, they are used to constitute the experimental benchmark. Unfortunately,…
IEEE
Uniqueness properties for discrete equations and Carleman estimates
Authors: Aingeru Fernández Bertolin,Luis Vega,Luis Vega
Using Carleman estimates, we give a lower bound for solutions to the discrete Schr��dinger equation in both dynamic and stationary settings that allows us to prove uniqueness results, under some assumptions on the decay of the solutions. Elsevier BV
Beyond WYSIWYG: Sharing contextual sensing data through mmWave V2V communications
Authors: Perfecto, C. (Cristina),Del Ser, J. (Javier),Bennis, M. (Mehdi),Bilbao, M. N. (Miren Nekane)
In vehicular scenarios context awareness is a key enabler for road safety. However, the amount of contextual information that can be collected by a vehicle is stringently limited by the sensor technology itself (e.g., line-of-sight, coverage, weather robustness) and by the low bandwidths offered by…
IEEE
Nature-inspired approaches for distance metric learning in multivariate time series classification
Authors: Oregui, I.,Del Ser, J.,Pérez, A.,Lozano, J.A.
The applicability of time series data mining in many different fields has motivated the scientific community to focus on the development of new methods towards improving the performance of the classifiers over this particular class of data. In this context the related literature has extensively…
IEEE
Combining CMA-ES and MOEA/DD for many-objective optimization
Authors: Olacir R. Castro,Aurora Pozo,Roberto Santana,Jose A. Lozano
Multi-objective Estimation of Distribution Algorithms (MOEDAS) have been successfully applied to solve Multi-objective Optimization Problems (MOPs) since they are able to model dependencies between variables of the problem and then sample new solutions to guide the search to promising areas. A…
IEEE
Interferometry of binary stars using polymer optical fibres
Authors: Laura Arregui,Agustín Sánchez-Lavega,Joseba Zubia,Ricardo Hueso,María Asunción Illarramendi
We show a laboratory experiment in which students can learn the use of interferometry as a valuable tool in astronomy. We detail experiments based on the use of the classic Michelson stellar interferometer able to reproduce the size of single stars and to characterize double star systems. Stellar…
IOP Publishing
Semantics for interoperability of distributed data and models: Foundations for better-connected information
Authors: Ferdinando Villa,Stefano Balbi,Ioannis N. Athanasiadis,Caterina Caracciolo
Correct and reliable linkage of independently produced information is a requirement to enable sophisticated applications and processing workflows. These can ultimately help address the challenges posed by complex systems (such as socio-ecological systems), whose many components can only be…
F1000 Research Ltd
Fast inversion of logging-while-drilling resistivity measurements acquired in multiple wells
Authors: Shaaban A. Bakr,David Pardo,Carlos Torres-Verdín
We have developed a new method for the fast inversion of borehole resistivity measurements acquired in multiple wells using logging-while-drilling instruments. There are two key novel contributions. First, we approximate general 3D transversely isotropic (TI) formations with a sequence of several…
Society of Exploration Geophysicists
Overview of useful spectral regions for Venus: An update to encourage observations complementary to the Akatsuki mission
Authors: Peralta, J.,Lee, Y.J.,McGouldrick, K.,Sagawa, H.,Sánchez-Lavega, A.,Imamura, T.,Widemann, T.,Nakamura, M.
Abstract New tables to observe the planet Venus are presented with detailed information about the main spectral regions from 100 nm to 1 mm. The information hereby is updated thanks to the Venus Express legacy and recent ground-based observations, and we hope it can constitute a helpful tool for…
Elsevier BV
Reexamination of continuous fuzzy measurement on two-level systems
Authors: Sokolovski, D.,Rusconi, S.,Brouard, S.,Akhmatskaya, E.
MINECO, Fondo Europeo de Desarrollo Regional FEDER, Grant No. FIS2015-67161-P (MINECO/FEDER) (D.S.), MINECO Grant No. SVP-2014-068451 (S.R.), MINECO Grant No. MTM2013-46553-C3-1-P (E.A.), SGI/IZOSGIker UPV/EHU, i2BASQUE academic network, American Physical Society (APS)
Underwater Robot Task Planning Using Multi-Objective Meta-Heuristics
Authors: Itziar Landa-Torres,Diana Manjarres,Sonia Bilbao,Javier Del Ser
Robotics deployed in the underwater medium are subject to stringent operational conditions that impose a high degree of criticality on the allocation of resources and the schedule of operations in mission planning. In this context the so-called cost of a mission must be considered as an additional…
MDPI AG
The value of continuity: Refined isogeometric analysis and fast direct solvers
Authors: Victor M. Calo,Victor M. Calo,David Pardo,David Pardo,David Pardo,Lisandro Dalcin,Lisandro Dalcin,Maciej Paszyński,Nathan Collier,Daniel Garcia
We propose the use of highly continuous finite element spaces interconnected with low continuity hyperplanes to maximize the performance of direct solvers. Starting from a highly continuous Isogeometric Analysis (IGA) discretization, we introduce $C^0$-separators to reduce the interconnection…
Elsevier BV
Enhancing sampling in atomistic simulations of solid-state materials for batteries: a focus on olivine $$\hbox {NaFePO}_4$$ NaFePO 4
Authors: Mario Fernández-Pendás,Elena Akhmatskaya,Elena Akhmatskaya,Tijana Radivojevic,Ariel Lozano,Bruno Escribano,Javier Carrasco
The study of ion transport in electrochemically active materials for energy storage systems requires simulations on quantum- atomistic- and mesoscales. The methods accessing these scales not only have to be effective but also well compatible to provide a full description of the underlying processes…
Springer Science and Business Media LLC
Hybridizing Cartesian Genetic Programming and Harmony Search for adaptive feature construction in supervised learning problems
Authors: Andoni Elola,Javier Del Ser,Miren Nekane Bilbao,Cristina Perfecto,Enrique Alexandre,Sancho Salcedo-Sanz
The advent of the so-called Big Data paradigm has motivated a flurry of research aimed at enhancing machine learning models by following very di- verse approaches. In this context this work focuses on the automatic con- struction of features in supervised learning problems, which differs from the…
Elsevier BV
A novel BRAM content accessing and processing method based on FPGA configuration bitstream
Authors: J. Gomez-Cornejo,A. Zuloaga,I. Villalta,J. Del Ser,U. Kretzschmar,J. Lazaro
This paper presents a new approach to manage data content of memories implemented in FPGAs through the configuration bitstream. The proposed approach is able to read and write the data content from Block RAMs (BRAMs) in FPGA based designs by reading and processing the information stored in the…
Elsevier BV
Comparison of beta-binomial regression model approaches to analyze health-related quality of life data
Authors: Najera-Zuloaga, J.,Lee, D.J.,Arostegui, I.
Health-related quality of life has become an increasingly important indicator of health status in clinical trials and epidemiological research. Moreover, the study of the relationship of health-related quality of life with patients and disease characteristics has become one of the primary aims of…
SAGE Publications
An efficient approximation to the K-means clustering for massive data
Authors: Marco Capó,Aritz Pérez,Jose A. Lozano
Due to the progressive growth of the amount of data available in a wide variety of scientific fields, it has become more difficult to manipulate and analyze such information. In spite of its dependency on the initial settings and the large number of distance computations that it can require to…
Elsevier BV
A multi-domain decomposition-based Fourier finite element method for the simulation of 3D marine CSEM measurements
Authors: Shaaban A. Bakr,Shaaban A. Bakr,David Pardo,David Pardo,David Pardo
We introduce a multi-domain decomposition Fourier finite element (MDDFFE) method for the simulation of three-dimensional (3D) marine controlled source electromagnetic measurement (CSEM). The method combines a 2D finite element (FE) method in two spatial dimensions with a hybrid discretization based…
Springer Science and Business Media LLC
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