Publications

Displaying 226 - 250 of 1227

Publication	Date
Strong increase in dust devil activity at Gale crater on the third year of the MSL mission and suppression during the 2018 Global Dust Storm Authors: Agustín Sánchez-Lavega,Ricardo Hueso,I. Ordonez-Etxeberria Abstract The Rover Environmental Monitoring Station (REMS) instrument in the Mars Science Laboratory (MSL) mission has collected atmospheric data from Gale crater for more than three Martian years. These data correspond to a path travelled by the Curiosity rover of 18 km in length with… Elsevier BV	2020-09-01
A Novel Formulation for the Energy Storage Scheduling Problem in Solar Self-consumption Systems Authors: Javier Del Ser,Sandra Riaño,Ricardo S. Alonso,Icíar Lloréns,Sergio Gil-Lopez Energy storage systems are key components to increase photovoltaic (PV) self-consumption profitability. Indeed, they allow for the intermittency dampening of the PV production so as to adequately cover end-users’ consumption. Given that in most grid-connected PV systems electricity prices are… Springer International Publishing	2020-08-29
Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences Authors: Izaskun Oregi,Javier Del Ser,Aritz Pérez,José A. Lozano Due to their unprecedented capacity to learn patterns from raw data, deep neural networks have become the de facto modeling choice to address complex machine learning tasks. However, recent works have emphasized the vulnerability of deep neural networks when being fed with intelligently manipulated… Elsevier BV	2020-08-01
A Comparison of Numerical Approaches for the Design of Mooring Systems for Wave Energy Converters Authors: Imanol Touzon,Vincenzo Nava,Borja de Miguel,Victor Petuya This paper analyses the numerical outcome of applying three different well-known mooring design approaches to a floating wave energy converter, moored by means of four catenary lines. The approaches include: a linearized frequency domain based on a quasistatic model of the mooring lines, a time… MDPI AG	2020-07-16
Towards the Prediction of Rearrest during Out-of-Hospital Cardiac Arrest Authors: Andoni Elola,Elisabete Aramendi,Enrique Rueda,Unai Irusta,Henry Wang,Ahamed Idris A secondary arrest is frequent in patients that recover spontaneous circulation after an out-of-hospital cardiac arrest (OHCA). Rearrest events are associated to worse patient outcomes, but little is known on the heart dynamics that lead to rearrest. The prediction of rearrest could help improve… MDPI AG	2020-07-09
Factors affecting the course of resuscitation from cardiac arrest with pulseless electrical activity in children and adolescents Authors: Eirik Skogvoll,Jan Terje Kvaløy,Dana Niles,Benjamin S. Abella,Trygve Eftestøl,Unai Irusta,Trond Nordseth,Vinay M. Nadkarni,Elisabete Aramendi,Robert M. Sutton,Robert A. Berg Although in-hospital pediatric cardiac arrests and cardiopulmonary resuscitation occur15,000/year in the US, few studies have assessed which factors affect the course of resuscitation in these patients. We investigated transitions from Pulseless Electrical Activity (PEA) to Ventricular Fibrillation… Elsevier BV	2020-07-01
New Perspectives on the Use of Online Learning for Congestion Level Prediction over Traffic Data Authors: Javier Del Ser,Jesus L. Lobo,Ibai Laña,Eric L. Manibardo This work focuses on classification over time series data. When a time series is generated by non-stationary phenomena, the pattern relating the series with the class to be predicted may evolve over time (concept drift). Consequently, predictive models aimed to learn this pattern may become… IEEE	2020-07-01
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples Authors: Alejandro Barredo-Arrieta,Javier Del Ser 7 pages, 5 figures. Accepted for its presentation at WCCI 2020 IEEE	2020-07-01
Bat Algorithm Method for Automatic Determination of Color and Contrast of Modified Digital Images Authors: Javier Del Ser,Akemi Gálvez,Andrés Iglesias,Eneko Osaba This paper presents a new artificial intelligence-based method to address the following problem: given an initial digital image (source image), and a modification of the image (mod image) obtained from the source through a color map and visual attributes assumed to be unknown, determine suitable… IEEE	2020-07-01
Survey on evaluation methods for dialogue systems Authors: Deriu, Jan,Rodrigo, Alvaro,Otegi, Arantxa,Echegoyen, Guillermo,Rosset, Sophie,Agirre, Eneko,Cieliebak, Mark AbstractIn this paper, we survey the methods and concepts developed for the evaluation of dialogue systems. Evaluation, in and of itself, is a crucial part during the development process. Often, dialogue systems are evaluated by means of human evaluations and questionnaires. However, this tends to… Springer Science and Business Media LLC	2020-06-25
Journey to the center of the linear ordering problem Authors: Hernando, L.,Mendiburu, A.,Lozano, J.A. TIN2016-78365-R IT1244-19 ACM	2020-06-25
Predictive factors over time of health-related quality of life in COPD patients Authors: Esteban González, Cristóbal,Arostegui Madariaga, Inmaculada,Aramburu, Amaia,Moraza, Javier,Najera Zuloaga, Josu,Aburto, Myriam,Aizpiri, Susana,Chasco, Leyre,Quintana López, José María Abstract Background Health-related quality of life (HRQoL) should be seen as a tool that provides an overall view of the general clinical condition of a COPD patient. The aims of this study were to identify variables associated with HRQoL and whether they continue to have an influence in the medium… Springer Science and Business Media LLC	2020-06-05
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI Authors: Javier Del Ser,Javier Del Ser,Natalia Díaz-Rodríguez,Sergio Gil-Lopez,Daniel Molina,Siham Tabik,Salvador García,Richard Benjamins,Raja Chatila,Adrien Bennetot,Adrien Bennetot,Francisco Herrera,Alberto Barbado,Alejandro Barredo Arrieta In the last years, Artificial Intelligence (AI) has achieved a notable momentum that may deliver the best of expectations over many application sectors across the field. For this to occur, the entire community stands in front of the barrier of explainability, an inherent problem of AI techniques… Elsevier BV	2020-06-01
A Long‐Lived Sharp Disruption on the Lower Clouds of Venus Authors: Agustín Sánchez-Lavega,Takeshi Imamura,Choon Wei Vun,Javier Peralta,Kevin McGouldrick,Eliot F. Young,Mark A. Bullock,Masato Nakamura,Pedro Machado,Gerald Schubert,Silvia Tellmann,A. Wesley,Yeon Joo Lee,Naomoto Iwagami,Toru Kouyama,R. Hueso,Sanjay S.… AbstractPlanetary‐scale waves are thought to play a role in powering the yet unexplained atmospheric superrotation of Venus. Puzzlingly, while Kelvin, Rossby, and stationary waves manifest at the upper clouds (65–70 km), no planetary‐scale waves or stationary patterns have been reported in the… American Geophysical Union (AGU)	2020-05-27
Rhythm Analysis during Cardiopulmonary Resuscitation Using Convolutional Neural Networks Authors: Iraia Isasi,Unai Irusta,Elisabete Aramendi,Trygve Eftestøl,Jo Kramer-Johansen,Lars Wik Chest compressions during cardiopulmonary resuscitation (CPR) induce artifacts in the ECG that may provoque inaccurate rhythm classification by the algorithm of the defibrillator. The objective of this study was to design an algorithm to produce reliable shock/no-shock decisions during CPR using… MDPI AG	2020-05-27
Evolution of Polygonal Lines by the Binormal Flow Authors: Valeria Banica,Luis Vega minor changes Springer Science and Business Media LLC	2020-05-25
On the improvement of the Hardy inequality due to singular magnetic fields Authors: Fanelli L.,Krejcirik D.,Laptev A.,Vega L. 9 pages Informa UK Limited	2020-05-13
Multilayer hazes over Saturn’s hexagon from Cassini ISS limb images Authors: Sánchez-Lavega, A.,García-Muñoz, A.,del Río-Gaztelurrutia, T.,Pérez-Hoyos, S.,Sanz-Requena, J. F.,Hueso, R.,Guerlet, S.,Peralta, J. AbstractIn June 2015, Cassini high-resolution images of Saturn’s limb southwards of the planet’s hexagonal wave revealed a system of at least six stacked haze layers above the upper cloud deck. Here, we characterize those haze layers and discuss their nature. Vertical thickness of layers ranged… Springer Science and Business Media LLC	2020-05-08
Optimization of Deep Learning Precipitation Models Using Categorical Binary Metrics Authors: Pablo R. Larraondo,Luigi J. Renzullo,Albert I. J. M. Van Dijk,Inaki Inza,Jose A. Lozano AbstractThis work introduces a methodology for optimizing neural network models using a combination of continuous and categorical binary indices in the context of precipitation forecasting. Probability of detection and false alarm rate are popular metrics used in the verification of precipitation… American Geophysical Union (AGU)	2020-05-01
Asymptotics in Fourier space of self-similar solutions to the modified Korteweg-de Vries equation Authors: Luis Vega,Luis Vega,Raphaël Côte,Simão Correia We give the asymptotics of the Fourier transform of self-similar solutions to the modified Korteweg-de Vries equation, through a fixed point argument in weighted W^{1,\infty} around a carefully chosen, two term ansatz. Such knowledge is crucial in the study of stability properties of the self-… Elsevier BV	2020-05-01
An efficient K-means clustering algorithm for tall data Authors: Capo, M.,Pérez, A.,Lozano, J.A. The analysis of continously larger datasets is a task of major importance in a wide variety of scientific fields. Therefore, the development of efficient and parallel algorithms to perform such an analysis is a a crucial topic in unsupervised learning. Cluster analysis algorithms are a key element… Springer Science and Business Media LLC	2020-05-01
Evolutionary LSTM-FCN networks for pattern classification in industrial processes Authors: Fernando Veiga,Mariluz Penalva,Alberto Diez-Olivan,Basilio Sierra,Javier Del Ser,Patxi Ortego Abstract The Industry 4.0 revolution allows gathering big amounts of data that are used to train and deploy Artificial Intelligence algorithms to solve complex industrial problems, optimally and automatically. From those, Long-Short Term Memory Fully Convolutional Network (LSTM-FCN) networks are… Elsevier BV	2020-05-01
A deep learning approach to the inversion of borehole resistivity measurements Authors: David Pardo,David Pardo,David Pardo,Carlos Torres-Verdín,Adrian Galdran,Mostafa Shahriari,J. Del Ser,Artzai Picon We use borehole resistivity measurements to map the electrical properties of the subsurface and to increase the productivity of a reservoir. When used for geosteering purposes, it becomes essential to invert them in real time. In this work, we explore the possibility of using Deep Neural Network (… Springer Science and Business Media LLC	2020-04-13
Taming the Latency in Multi-User VR 360°: A QoE-Aware Deep Learning-Aided Multicast Framework Authors: Cristina Perfecto,Mohammed S. Elbamby,Javier Del Ser,Mehdi Bennis Immersive virtual reality (VR) applications require ultra-high data rate and low-latency for smooth operation. Hence in this paper, aiming to improve VR experience in multi-user VR wireless video streaming, a deep-learning aided scheme for maximizing the quality of the delivered video chunks with… Institute of Electrical and Electronics Engineers (IEEE)	2020-04-01
On the energy of critical solutions of the binormal flow Authors: Banica, V.,Vega, L. minor changes Informa UK Limited	2020-04-01