Publications

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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)

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