Publications

Displaying 476 - 500 of 1307

Publication	Date
The risk of sub-optimal use of Open Source NLP Software: UKB is inadvertently state-of-the-art in knowledge-based WSD Authors: Oier Lopez de Lacalle,Aitor Soroa,Eneko Agirre UKB is an open source collection of programs for performing, among other tasks, knowledge-based Word Sense Disambiguation (WSD). Since it was released in 2009 it has been often used out-of-the-box in sub-optimal settings. We show that nine years later it is the state-of-the-art on knowledge-based… Association for Computational Linguistics (ACL)	2018-01-01
Road Traffic Forecasting Using NeuCube and Dynamic Evolving Spiking Neural Networks Authors: Ibai Laña,Jesus L. Lobo,Nikola Kasabov,Javier Del Ser,Elisa Capecci This paper presents a new approach for spatio-temporal road traffic forecasting that relies on the adoption of the NeuCube architecture based on spiking neural networks. The NeuCube platform was originally conceived and designed to process electroencephalographic (EEG) signals considering their… Springer International Publishing	2018-01-01
A systematic search of sudden pressure drops on Gale crater during two Martian years derived from MSL/REMS data Authors: I. Ordonez-Etxeberria,Agustín Sánchez-Lavega,Ricardo Hueso The Mars Science Laboratory (MSL) rover carries a suite of meteorological detectors that constitute the Rover Environmental Monitoring Station (REMS) instrument. REMS investigates the meteorological conditions at Gale crater by obtaining high-frequency data of pressure, air and ground temperature,… Elsevier BV	2018-01-01
Big Data in Road Transport and Mobility Research Authors: Ibai Laña,Javier Sanchez-Medina,Ignacio Olabarrieta,Ana I. Torre-Bastida,Javier Del Ser,Sergio Campos-Cordobés,Javier Sánchez-Cubillo 205 Elsevier BV	2018-01-01
The Relationship Between Graphical Representations of Regular Vine Copulas and Polytrees Authors: Diana Carrera,Jose A. Lozano,Jose A. Lozano,Roberto Santana Graphical models (GMs) are powerful statistical tools for modeling the (in)dependencies among random variables. In this paper, we focus on two different types of graphical models: R-vines and polytrees. Regarding the graphical representation of these models, the former uses a sequence of undirected… Springer International Publishing	2018-01-01
Drift Detection over Non-stationary Data Streams Using Evolving Spiking Neural Networks Authors: Jesus L. Lobo,Ibai Laña,Miren Nekane Bilbao,Nikola Kasabov,Javier Del Ser,Javier Del Ser Drift detection in changing environments is a key factor for those active adaptive methods which require trigger mechanisms for drift adaptation. Most approaches are relied on a base learner that provides accuracies or error rates to be analyzed by an algorithm. In this work we propose the use of… Springer International Publishing	2018-01-01
Memetic Modified Cuckoo Search Algorithm with ASSRS for the SSCF Problem in Self-Similar Fractal Image Reconstruction Authors: Javier Del Ser,Javier Del Ser,Andrés Iglesias,Andrés Iglesias,Akemi Gálvez,Akemi Gálvez,Eneko Osaba,Iztok Fister This paper proposes a new memetic approach to address the problem of obtaining the optimal set of individual Self-Similar Contractive Functions (SSCF) for the reconstruction of self-similar binary IFS fractal images, the so-called SSCF problem. This memetic approach is based on the hybridization of… Springer International Publishing	2018-01-01
Finite Element Approximation of Electromagnetic Fields Using Nonfitting Meshes for Geophysics Authors: David Pardo,David Pardo,Théophile Chaumont-Frelet,Serge Nicaise We analyze the use of nonfitting meshes for simulating the propagation of electromagnetic waves inside the earth with applications to borehole logging. We avoid the use of parameter homogenization and employ standard edge finite element basis functions. For our geophysical applications, we consider… Society for Industrial & Applied Mathematics (SIAM)	2018-01-01
A Deep Learning Approach to Device-Free People Counting from WiFi Signals Authors: Inaki Eizmendi,Manuel Velez,Javier Del Ser,Javier Del Ser,Iker Sobron The last decade has witnessed a progressive interest shown by the community on inferring the presence of people from changes in the signals exchanged by deployed wireless devices. This non-invasive approach finds its rationale in manifold applications where the provision of counting devices to the… Springer International Publishing	2018-01-01
Interplay of Two Bat Algorithm Robotic Swarms in Non-cooperative Target Point Search Authors: Suárez, Patricia,Gálvez, Akemi,Fister, Iztok,Fister, Iztok,Osaba, Eneko,Del Ser, Javier,Iglesias, Andrés In this paper, we analyze the interplay of two robotic swarms applied to solve a target point search in a non-cooperative mode. In particular, we consider the case of two identical robotic swarms deployed within the same environment to perform dynamic exploration seeking for two different unknown… Springer International Publishing	2018-01-01
Road Traffic Forecasting: Recent Advances and New Challenges Authors: Ibai Lana,Javier Del Ser,Manuel Velez,Eleni I. Vlahogianni Due to its paramount relevance in transport planning and logistics, road traffic forecasting has been a subject of active research within the engineering community for more than 40 years. In the beginning most approaches relied on autoregressive models and other analysis methods suited for time… Institute of Electrical and Electronics Engineers (IEEE)	2018-01-01
Multi-objective Metaheuristics for a Flexible Ligand-Macromolecule Docking Problem in Computational Biology Authors: Javier Del Ser,José F. Aldana-Montes,María Jesús García-Godoy,Esteban López Camacho,Antonio J. Nebro The problem of molecular docking focuses on minimizing the binding energy of a complex composed by a ligand and a receptor. In this paper, we propose a new approach based on the joint optimization of three conflicting objectives: $E_{inter}$ that relates to the ligand-receptor affinity, the \(E_{… Springer International Publishing	2018-01-01
Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures Authors: Izaskun Oregi,Aritz Pérez,Javier Del Ser,Javier Del Ser,Jose A. Lozano,Jose A. Lozano Adversarial Machine Learning (AML) refers to the study of the robustness of classification models when processing data samples that have been intelligently manipulated to confuse them. Procedures aimed at furnishing such confusing samples exploit concrete vulnerabilities of the learning algorithm… Springer International Publishing	2018-01-01
Multi-objective Design of Time-Constrained Bike Routes Using Bio-inspired Meta-heuristics Authors: Miren Nekane Bilbao,Pedro Lopez-Garcia,Eneko Osaba,Antonio J. Nebro,Javier Del Ser,Javier Del Ser This paper focuses on the design and implementation of a bike route optimization approach based on multi-objective bio-inspired heuristic solvers. The objective of this approach is to produce a set of Pareto-optimal bike routes that balance the trade-off between the length of the route and its… Springer International Publishing	2018-01-01
Learning to classify software defects from crowds: A novel approach Authors: Rachel Harrison,Jerónimo Hernández-González,Iñaki Inza,Daniel Rodriguez,Jose A. Lozano,Jose A. Lozano In software engineering, associating each reported defect with a cate- gory allows, among many other things, for the appropriate allocation of resources. Although this classification task can be automated using stan- dard machine learning techniques, the categorization of defects for model training… Elsevier BV	2018-01-01
Comparative study of pheromone control heuristics in ACO algorithms for solving RCPSP problems Authors: Antonio Gonzalez-Pardo,Javier Del Ser,Javier Del Ser,David Camacho Constraint Satisfaction Problems (CSP) belong to a kind of traditional NP-hard problems with a high impact on both research and industrial domains. The goal of these problems is to find a feasible assignment for a group of variables where a set of imposed restrictions is satisfied. This family of… Elsevier BV	2017-11-01
Temporal and spatial variations of the absolute reflectivity of Jupiter and Saturn from 0.38 to 1.7μm with PlanetCam-UPV/EHU Authors: Ricardo Hueso,Jose Félix Rojas,I. Mendikoa,Agustín Sánchez-Lavega,Javier López-Santiago,Santiago Pérez-Hoyos We provide measurements of the absolute reflectivity of Jupiter and Saturn along their central meridians in filters covering a wide range of visible and near-infrared wavelengths (from 0.38 to 1.7 $��$m) that are not often presented in the literature. We also give measurements of the geometric… EDP Sciences	2017-11-01
On Efficiently Solving the Vehicle Routing Problem with Time Windows Using the Bat Algorithm with Random Reinsertion Operators Authors: Javier Del Ser,Javier Del Ser,Pedro Lopez-Garcia,Eneko Osaba,Xin-She Yang,Roberto Carballedo,Iztok Fister An evolutionary and discrete variant of the Bat Algorithm (EDBA) is proposed for solving the Vehicle Routing Problem with Time Windows, or VRPTW. The EDBA developed not only presents an improved movement strategy, but it also combines with diverse heuristic operators to deal with this type of… Springer International Publishing	2017-10-10
Wind Power Production Forecasting Using Ant Colony Optimization and Extreme Learning Machines Authors: Cristina Perfecto,Miren Nekane Bilbao,Maria Carrillo,Javier Del Ser,Javier Del Ser,David Camacho Nowadays the energy generation strategy of almost every nation around the world relies on a strong contribution from renewable energy sources. In certain countries the relevance taken by wind energy is particularly high within its national production share, mainly due to its large-scale wind flow… Springer International Publishing	2017-10-05
Measuring the class-imbalance extent of multi-class problems Authors: Iñaki Inza,Jose A. Lozano,Jose A. Lozano,Jonathan Ortigosa-Hernández TIN2013-41272P, IT609-13, AP2008-00766 Elsevier BV	2017-10-01
Time-domain goal-oriented adaptivity using pseudo-dual error representations Authors: Victor M. Calo,Victor M. Calo,Judit Muñoz-Matute,Elisabete Alberdi,David Pardo,David Pardo,David Pardo Goal-oriented adaptive algorithms produce optimal grids to solve challenging engineering problems. Recently, a novel error representation using (unconventional) pseudo-dual problems for goal-oriented adaptivity in the context of frequency-domain wave-propagation problems has been developed. In this… Elsevier BV	2017-10-01
Detection of non-technical losses in smart meter data based on load curve profiling and time series analysis Authors: Esther Villar-Rodriguez,Javier Del Ser,Javier Del Ser,Sergio Gil-Lopez,Izaskun Oregi,Miren Nekane Bilbao The advent and progressive deployment of the so-called Smart Grid has unleashed a profitable portfolio of new possibilities for an efficient management of the low-voltage distribution network supported by the introduction of information and communication technologies to exploit its digitalization.… Elsevier BV	2017-10-01
Neptune long-lived atmospheric features in 2013–2015 from small (28-cm) to large (10-m) telescopes Authors: L.A. Sromovsky,J. Guarro,J. Sussenbach,Nicholas M. Law,Ricardo Hueso,Agustín Sánchez-Lavega,Christoph Baranec,K. de Kleer,S. Luszcz-Cook,D. Gavel,A. Wesley,Jose Félix Rojas,P. Gorczynski,E. Victor Garcia,S.M. Ammons,Michael H. Wong,Heidi Hammel,I.… Since 2013, observations of Neptune with small telescopes (28-50 cm) have resulted in several detections of long-lived bright atmospheric features that have also been observed by large telescopes such as Keck II or Hubble. The combination of both types of images allows the study of the long-term… Elsevier BV	2017-10-01
The size, shape, density and ring of the dwarf planet Haumea from a stellar occultation Authors: S. Kalkan,Santiago Pérez-Hoyos,Yavuz Güney,B. Gaehrken,Toni Santana-Ros,Victor Ali-Lagoa,Martina Maestripieri,Kosmas Gazeas,J. C. Guirado,Nicolás Morales,E. Meza,W. Beisker,Alvaro Alvarez-Candal,Ricardo Hueso,Afşar Kabaş,J. Lecacheux,Theodor Pribulla,A.… Among the four known transneptunian dwarf planets, Haumea is an exotic, very elongated, and fast rotating body. In contrast to the other dwarf planets, its size, shape, albedo, and density are not well constrained. Here we report results of a multi-chord stellar occultation, observed on 2017… Springer Science and Business Media LLC	2017-10-01
Removing Piston-driven Mechanical Chest Compression Artefacts from the ECG Authors: Unai Irusta,Iraia Isasi,Erik Alonso,Jo Kramer-Johansen,Unai Ayala,Elisabete Aramendi,Trygve Eftestøl Piston-driven mechanical chest compression (CC) devices induce a quasi-periodic artefact in the ECG, making rhythm diagnosis unreliable. Data from 230 out-of-hospital cardiac arrest (OHCA) patients were collected in which CCs were delivered using the piston driven LUCAS-2 device. Underlying rhythms… Computing in Cardiology	2017-09-14