Publications

Displaying 426 - 450 of 1227

Publication	Date
A New Dark Vortex on Neptune Authors: Michael H. Wong,Joshua Tollefson,Andrew I. Hsu,Imke de Pater,Amy A. Simon,Ricardo Hueso,Agustín Sánchez-Lavega,Lawrence Sromovsky,Patrick Fry,Statia Luszcz-Cook,Heidi Hammel,Marc Delcroix,Katherine de Kleer,Glenn S. Orton,Christoph Baranec Abstract An outburst of cloud activity on Neptune in 2015 led to speculation about whether the clouds were convective in nature, a wave phenomenon, or bright companions to an unseen dark vortex (similar to the Great Dark Spot studied in detail by Voyager 2). The Hubble Space… American Astronomical Society	2018-02-15
An efficient evolutionary algorithm for the orienteering problem Authors: Gorka Kobeaga,Gorka Kobeaga,Jose A. Lozano,Jose A. Lozano,María Merino MTM2015-65317-P, TIN2016-78365-R, IT-609-13, IT-928-16, UFI BETS 2011 Elsevier BV	2018-02-01
A heuristic approach to the multicriteria design of IaaS cloud infrastructures for Big Data applications Authors: Javier Del Ser,Javier Del Ser,Maria Arostegi,Ana I. Torre-Bastida,Miren Nekane Bilbao AbstractThe rapid growth of new computing paradigms such as Cloud Computing and Big Data has unleashed great opportunities for companies to shift their business model towards a fully digital strategy. A major obstacle in this matter is the requirement of highly specialized ICT infrastructures that… Wiley	2018-01-12
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	2018-01-01
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	2018-01-01
Environmental Perception for Intelligent Vehicles Authors: Javier Fernandez,Felipe Jiménez,Javier Del Ser,Jorge Alfonso,Mario Mata,Antonio M. López,José Manuel Menéndez,David Martin,Sergio Campos-Cordobés,Arturo de la Escalera,Javier Sánchez-Cubillo,Gabriel Villalonga,Fernando García,José María Armingol,David… Sin financiación No data (2018) UEM Elsevier BV	2018-01-01
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	2018-01-01
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	2018-01-01
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	2018-01-01
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. Abstract Ubiquitous computing has changed the acquisition of mobility data, with two aspects contributing: the high penetration rate and the ability to capture and share information on a continuous basis. This applies to geolocation information, operational mobile phone data, and also, social… 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 International audience; We analyze the use of non-fitting meshes for simulating the propagation of electromagnetic waves inside the Earth. In order to take into account subcell conductivity variations, we propose a simple " exact integration technique " that avoids the use of parameter… 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: Akemi Gálvez,Patricia Suárez,Iztok Fister,Eneko Osaba,Iztok FisterJr.,Javier Del Ser,Andrés Iglesias 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 category allows, among many other things, for the appropriate allocation of resources. Although this classification task can be automated using standard 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