Publications

Displaying 451 - 475 of 1307

Publication	Date
The weighted independent domination problem: Integer linear programming models and metaheuristic approaches Authors: Christian Blum,Pedro Pinacho Davidson,Pedro Pinacho Davidson,Jose A. Lozano,Jose A. Lozano This work deals with the so-called weighted independent domination problem, which is an NP-hard combinatorial optimization problem in graphs. In contrast to previous work, this paper considers the problem from a non-theoretical perspective. The first contribution consists in the development of… Elsevier BV	2018-03-01
Combining statistical techniques to predict postsurgical risk of 1-year mortality for patients with colon cancer Authors: Arostegui, Inmaculada,Gonzalez, Nerea,Fernández-de-Larrea, Nerea,Lázaro-Aramburu, Santiago,Baré, Marisa,Redondo, Maximino,Sarasqueta, Cristina,Garcia-Gutierrez, Susana,Quintana, José M,REDISSEC CARESS-CCR Group Colorectal cancer is one of the most frequently diagnosed malignancies and a common cause of cancer-related mortality. The aim of this study was to develop and validate a clinical predictive model for 1-year mortality among patients with colon cancer who survive for at least 30 days after surgery.… Informa UK Limited	2018-03-01
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
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	2018-01-01
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	2018-01-01
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	2018-01-01
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	2018-01-01
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
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	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… Abstract 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… 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
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
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
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