Publications

Displaying 501 - 525 of 1351

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: Campos Cordobés, Sergio,Del Ser, Javier,Laña, Ibai,Olabarrieta, Ignacio (Iñaki),Sánchez Cubillo, Javier,Sánchez-Medina, Javier J.,Torre-Bastida, Ana I. 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
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
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
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
Decision Making in Industry 4.0 Scenarios Supported by Imbalanced Data Classification Authors: Aitor Aguirre,Javier Del Ser,Antonio J. Nebro,Jesus Para In the last years Data Science has emerged as one of the main technological enablers in many business sectors, including the manufacturing industry. Process engineers, who traditionally resorted to engineering tools for troubleshooting, have now embraced the support of data analysis to unveil… Springer International Publishing	2018-01-01
Detectability of possible space weather effects on Mars upper atmosphere and meteor impacts in Jupiter and Saturn with small telescopes Authors: Ricardo Hueso,Teresa del Río-Gaztelurrutia,Agustín Sánchez-Lavega,Marc Delcroix,Jon Juaristi,Luis Carlos Fernández-González Amateur astronomers operating small telescopes accumulate a larger amount of observational time of Solar System planets than the ensemble of professional telescopes. Over the last 15 years, advancements in low-cost fast acquisition cameras and image software processing tools have pushed forward the… EDP Sciences	2018-01-01
Distance-Based Exponential Probability Models for Constrained Combinatorial Problems Authors: Alexander Mendiburu,Josu Ceberio,Jose A. Lozano,Jose A. Lozano Estimation of Distribution Algorithms (EDAs) have already demonstrated their utility when solving a broad range of combinatorial problems. However, there is still room for methodological improvement when approaching problems with constraints. The great majority of works in the literature implement… Springer International Publishing	2018-01-01
Using Novelty Search in Differential Evolution Authors: Akemi Gálvez,Akemi Gálvez,Iztok Fister,Iztok Fister,Javier Del Ser,Javier Del Ser,Eneko Osaba,Andrés Iglesias,Andrés Iglesias Novelty search in evolutionary robotics measures a distance of potential novelty solutions to their k-nearest neighbors in the search space. This distance presents an additional objective to the fitness function, with which each individual in population is evaluated. In this study, the novelty… Springer International Publishing	2018-01-01
Solving the Open-Path Asymmetric Green Traveling Salesman Problem in a Realistic Urban Environment Authors: Iztok Fister,Eneko Osaba,Javier Del Ser,Javier Del Ser,Akemi Gálvez,Akemi Gálvez,Andrés Iglesias,Andrés Iglesias,Miren Nekane Bilbao In this paper, a driving route planning system for multi-point routes is designed and developed. The routing problem has modeled as an Open-Path and Asymmetric Green Traveling Salesman Problem (OAG-TSP). The main objective of the proposed OAG-TSP is to find a route between a fixed origin and… Springer International Publishing	2018-01-01
Cost-efficient deployment of multi-hop wireless networks over disaster areas using multi-objective meta-heuristics Authors: Javier Del Ser,Javier Del Ser,Miren Nekane Bilbao,Sancho Salcedo-Sanz,Cristina Perfecto,Jose A. Portilla-Figueras Nowadays there is a global concern with the growing frequency and magnitude of natural disasters, many of them associated with climate change at a global scale. When tackled during a stringent economic era, the allocation of resources to efficiently deal with such disaster situations (e.g.,… Elsevier BV	2018-01-01
Differential Evolution for Association Rule Mining Using Categorical and Numerical Attributes Authors: Javier Del Ser,Javier Del Ser,Andrés Iglesias,Andrés Iglesias,Eneko Osaba,Akemi Gálvez,Akemi Gálvez,Iztok Fister Association rule mining is a method for identification of dependence rules between features in a transaction database. In the past years, researchers applied the method using features consisting of categorical attributes. Rarely, numerical attributes were used in these studies. In this paper, we… Springer International Publishing	2018-01-01
Bat Algorithm Swarm Robotics Approach for Dual Non-cooperative Search with Self-centered Mode Authors: Suárez, Patricia,Gálvez, Akemi,Fister, Iztok,Fister, Iztok,Osaba, Eneko,Del Ser, Javier,Iglesias, Andrés This paper presents a swarm robotics approach for dual non-cooperative search, where two robotic swarms are deployed within a map with the goal to find their own target point, placed at an unknown location of the map. We consider the self-centered mode, in which each swarm tries to solve its own… Springer International Publishing	2018-01-01
Positioning and Digital Maps Authors: Rafael Toledo-Moreo,José M. Armingol,Miguel Clavijo,Arturo de la Escalera,Javier del Ser,Felipe Jiménez,Basam Musleh,José E. Naranjo,Ignacio (Iñaki) Olabarrieta,Javier Sánchez-Cubillo A reliable positioning system is essential for the development of intelligent vehicles. This chapter provides an overview of different technologies and techniques that are crucial to understand modern positioning systems onboard road vehicles. It is written for the purpose of serving as a guide to… 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