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
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
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
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
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
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
Community Detection in Weighted Directed Networks Using Nature-Inspired Heuristics
Authors: Osaba, Eneko,Del Ser, Javier,Camacho, David,Galvez, Akemi,Iglesias, Andres,Fister, Iztok,Fister, Iztok
Finding groups from a set of interconnected nodes is a recurrent paradigm in a variety of practical problems that can be modeled as a graph, as those emerging from Social Networks. However, finding an optimal partition of a graph is a computationally complex task, calling for the development of…
Springer International Publishing
On the Design and Tuning of Machine Learning Models for Language Toxicity Classification in Online Platforms
Authors: William Miller,Javier Del Ser,Javier Del Ser,Maciej Rybinski,José F. Aldana-Montes,Miren Nekane Bilbao
One of the most concerning drawbacks derived from the lack of supervision in online platforms is their exploitation by misbehaving users to deliver offending (toxic) messages while remaining unknown themselves. Given the huge volumes of data handled by these platforms, the detection of toxicity in…
Springer International Publishing
A Bio-inspired Approach for Collaborative Exploration with Mobile Battery Recharging in Swarm Robotics
Authors: Javier Sánchez-Cubillo,Akemi Gálvez,Akemi Gálvez,Maria Carrillo,Miren Nekane Bilbao,Javier Del Ser,Javier Del Ser,Eneko Osaba,Andrés Iglesias,Andrés Iglesias,Ian Gallardo
Swarm Robotics are widely conceived as the development of new computationally efficient tools and techniques aimed at easing and enhancing the coordination of multiple robots towards collaboratively accomplishing a certain mission or task. Among the different criteria under which the performance of…
Springer International Publishing
Extending the Speed-Constrained Multi-objective PSO (SMPSO) with Reference Point Based Preference Articulation
Authors: Antonio J. Nebro,Carlos A. Coello Coello,Javier Del Ser,Javier Del Ser,Juan J. Durillo,José García-Nieto,Antonio Benítez-Hidalgo,José F. Aldana-Montes,Cristóbal Barba-González
The Speed-constrained Multi-objective PSO (SMPSO) is an approach featuring an external bounded archive to store non-dominated solutions found during the search and out of which leaders that guide the particles are chosen. Here, we introduce SMPSO/RP, an extension of SMPSO based on the idea of…
Springer International Publishing
Automatic Fitting of Feature Points for Border Detection of Skin Lesions in Medical Images with Bat Algorithm
Authors: Eneko Osaba,Javier Del Ser,Javier Del Ser,Andrés Iglesias,Andrés Iglesias,Akemi Gálvez,Akemi Gálvez,Iztok Fister
This paper addresses the problem of automatic fitting of feature points for border detection of skin lesions. This problem is an important task in segmentation of dermoscopy images for semi-automatic early diagnosis of melanoma and other skin lesions. Given a set of feature points selected by a…
Springer International Publishing
Simulation of floating platforms for marine energy generation
Authors: Moragues Ginard M.,Degirmenci N. C.,Castanon Quiroz D.,Leoni M.,Jansson J.,Nava V.,Krishnasamy E.,Hoffman J.
The goal of this work is to study the dynamics of floating platforms that are designed for marine energy generation. This work is done in collaboration with Tecnalia R&I, a company settled in the Basque Country which designs this kind of platforms. To our purpose we present a method for the…
International Conference on Computational Fluid Dynamics 2018
Task Classification Using Topological Graph Features for Functional M/EEG Brain Connectomics
Authors: Miren Nekane Bilbao,Eneko Osaba,Javier Del Ser,Javier Del Ser
In the last few years the research community has striven to achieve a thorough understanding of the brain activity when the subject under analysis undertakes both mechanical tasks and purely mental exercises. One of the most avant-garde approaches in this regard is the discovery of connectivity…
Springer International Publishing
Environmental Perception for Intelligent Vehicles
Authors: Armingol, Jose M.,Alfonso, Jorge,Aliane, Nourdine,Clavijo, Miguel,Campos-Cordobés, Sergio,de la Escalera, Arturo,del Ser, Javier,Fernández, Javier,García, Fernando,Jiménez, Felipe,López, Antonio M.,Mata, Mario,Martín, David,Menéndez, José M.,Sanchez-…
Environmental perception represents, because of its complexity, a challenge for Intelligent Transport Systems due to the great variety of situations and different elements that can happen in road environments and that must be faced by these systems. In connection with this, so far there are a…
Elsevier BV
Agent-Based Modelling to Assess Community Food Security and Sustainable Livelihoods
Authors: Dobbie, Samantha, Louise,Schreckenberg, Kathrin,Dyke, James,Schaafsma, Marije,Balbi, Stefano
We present a methodological approach for constructing an agent-based model (ABM) to assess community food security and variation among livelihood trajectories, using rural Malawi as a case study. The approach integrates both quantitative and qualitative data to explore how interactions between…
Journal of Artificial Societies and Social Simulation
Limb clouds and dust on Mars from images obtained by the Visual Monitoring Camera (VMC) onboard Mars Express
Authors: Ricardo Hueso,Agustín Sánchez-Lavega,Alejandro Cardesín-Moinelo,A. Garro,S. Wood,H. Chen-Chen,T. del Río-Gaztelurrutia,I. Ordonez-Etxeberria,Dmitri Titov
Abstract The Visual Monitoring Camera (VMC) onboard the Mars Express (MEx) spacecraft is a simple camera aimed to monitor the release of the Beagle-2 lander on Mars Express and later used for public outreach. Here, we employ VMC as a scientific instrument to study and characterize high altitude…
Elsevier BV
A Study of the Predictive Earliness of Traffic Flow Characterization for Software Defined Networking
Authors: Javier Del Ser,Hegoi Garitaonandia,Juanjo Unzilla,Eduardo Jacob
Software Defined Networking (SDN) is a new network paradigm that decouples the control from the data plane in order to provide a more structured approach to develop applications and services. In traditional networks the routing of flows is defined by masks and tends to be rather static. With SDN,…
Springer International Publishing
Concept Tracking and Adaptation for Drifting Data Streams under Extreme Verification Latency
Authors: Jesus L. Lobo,Miren Nekane Bilbao,Ana I. Torre-Bastida,Javier Del Ser,Maria Arostegi
When analyzing large-scale streaming data towards resolving classification problems, it is often assumed that true labels of the incoming data are available right after being predicted. This assumption allows online learning models to efficiently detect and accommodate non-stationarities in the…
Springer International Publishing
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)
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
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
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
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
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
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