Publications

Displaying 1 - 25 of 1307

Publication	Date
Revisiting excitation force estimation in WECs: On the (mis)use of structure-based estimation approaches Authors: Demián García-Violini,Nicolás Faedo,Yerai Peña-Sanchez,Vincenzo Nava,John V. Ringwood Fil: García Violini, Diego Demián. Universidad Nacional de Quilmes; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Elsevier BV	2024-11-01
Resilience to the Flowing Unknown: An Open Set Recognition Framework for Data Streams Authors: Marcos Barcina-Blanco,Jesus L. Lobo,Pablo Garcia-Bringas,Javier Del Ser 12 pages, 3 figures, an updated version of this article is published in LNAI,volume 14857 as part of the conference proceedings HAIS 2024 Springer Nature Switzerland	2024-10-09
Fuzzy Deep Learning for the Diagnosis of Alzheimer's Disease: Approaches and Challenges Authors: M. Tanveer,M. Sajid,M. Akhtar,A. Quadir,T. Goel,A. Aimen,S. Mitra,Y-D Zhang,C. T. Lin,J. Del Ser Institute of Electrical and Electronics Engineers (IEEE)	2024-10-01
Domain generalized person reidentification based on skewness regularity of higher-order statistics Authors: Mingfu Xiong,Yang Xu,Ruimin Hu,Zhongyuan Wang,Javier Del Ser,Khan Muhammad,Zixiang Xiong Elsevier BV	2024-10-01
Fault detection and identification for control systems in floating offshore wind farms: A supervised Deep Learning methodology Authors: Ana Fernandez-Navamuel,Yerai Peña-Sanchez,Vincenzo Nava Elsevier BV	2024-10-01
Auto-gainbegiratutako ikaskuntzaren ahalmena azaleratzen Authors: Aitor Sánchez Ferrera,Borja Calvo Molinos,Usue Mori Carrascal,Jose Antonio Lozano Alonso Ikasketa automatikoak nabarmen egin du aurrera azken urteotan, eta horren fruitu da garatutako algoritmo sorta izugarria, ataza ezberdin ugari burutzeko ahalmena ematen digutenak. Literaturaren arabera, algoritmo gehienak ikaskuntza gainbegiratuan oinarritzen dira. Hala ere, hainbat atazetan… UPV/EHU Press	2024-09-24
Learning the Graph Structure of Regular Vine-Copulas from Dependence Lists Authors: Diana Carrera,Roberto Santana,Jose Antonio Lozano Regular vine copulas (R-vines) provide a comprehensive framework for modeling high-dimensional dependencies using a hierarchy of trees and conditional pair-copulas. While the graphical structure of R-vines is traditionally derived from data, this work introduces a novel approach by utilizing a (… Association for Computing Machinery (ACM)	2024-09-10
Managing the unknown in machine learning: Definitions, related areas, recent advances, and prospects Authors: Marcos Barcina-Blanco,Jesus L. Lobo,Pablo Garcia-Bringas,Javier Del Ser Elsevier BV	2024-09-01
The impact of Mn and Al on the trapping and diffusion of hydrogen in γ-Fe: An atomistic insight Authors: Bikram Kumar Das,Poulami Chakraborty,Mingyuan Lu,Mauricio Rincón Bonilla,Elena Akhmatskaya Elsevier BV	2024-09-01
Recovery of arterial blood pressure after chest compression pauses in patients with out-of-hospital cardiac arrest Authors: Rose T. Yin,Per Olav Berve,Tore Skaalhegg,Andoni Elola,Tyson G. Taylor,Robert G. Walker,Elisabete Aramendi,Fred W. Chapman,Lars Wik Elsevier BV	2024-08-01
Adaptive Deep Fourier Residual method via overlapping domain decomposition Authors: Jamie M. Taylor,Manuela Bastidas,Victor M. Calo,David Pardo The Deep Fourier Residual (DFR) method is a specific type of variational physics-informed neural networks (VPINNs). It provides a robust neural network-based solution to partial differential equations (PDEs). The DFR strategy is based on approximating the dual norm of the weak residual of a PDE.… Elsevier BV	2024-07-01
Scale Mutualized Perception for Vessel Border Detection in Intravascular Ultrasound Images Authors: Xiujian Liu,Tianyuan Feng,Weipeng Liu,Liang Song,Yixuan Yuan,William Kongto Hau,Javier Del Ser,Zhifan Gao Vessel border detection in IVUS images is essential for coronary disease diagnosis. It helps to obtain the clinical indices on the inner vessel morphology to indicate the stenosis. However, the existing methods suffer the challenge of scale-dependent interference. Early methods usually rely on the… Institute of Electrical and Electronics Engineers (IEEE)	2024-07-01
Toward Fully Automated Inspection of Critical Assets Supported by Autonomous Mobile Robots, Vision Sensors, and Artificial Intelligence Authors: Javier Sanchez-Cubillo,Javier Del Ser,José Luis Martin Robotic inspection is advancing in performance capabilities and is now being considered for industrial applications beyond laboratory experiments. As industries increasingly rely on complex machinery, pipelines, and structures, the need for precise and reliable inspection methods becomes paramount… MDPI AG	2024-06-07
Steady solutions for the Schrödinger map equation Authors: Claudia García,Luis Vega In this paper we use bifurcation methods to construct a new family of solutions of the binormal flow, also known as the vortex filament equation, which do not change their form. Our examples are complementary to those obtained by S. Kida in 1981, and therefore they are also related, thanks to the… Informa UK Limited	2024-06-02
Control co-design for wave energy farms: Optimisation of array layout and mooring configuration in a realistic wave climate Authors: Yerai Peña-Sanchez,Demián García-Violini,Markel Penalba,Ander Zarketa-Astigarraga,Francesco Ferri,Vincenzo Nava,John V. Ringwood This paper presents a novel Control Co-Design (CCD) methodology aimed at economically optimising the layout of wave energy converter (WEC) arrays. CCD ensures the synergy of optimised WEC and array parameters with the final control strategy, resulting in a comprehensive and efficient design of the… Elsevier BV	2024-06-01
Condition monitoring of mooring systems for Floating Offshore Wind Turbines using Convolutional Neural Network framework coupled with Autoregressive coefficients Authors: Smriti Sharma,Vincenzo Nava This research presents a novel approach proposed for the monitoring of mooring systems in Floating Offshore Wind Turbines (FOWTs), employing a combination of Convolutional Neural Networks (CNNs) and Auto-Regressive (AR) models. CNN finds broad application in monitoring intricate structures, as they… Elsevier BV	2024-06-01
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation Authors: Yang Nan,Javier Del Ser,Zeyu Tang,Peng Tang,Xiaodan Xing,Yingying Fang,Francisco Herrera,Witold Pedrycz,Simon Walsh,Guang Yang 12 pages, 5 figures, Submitted to IEEE TNNLS Institute of Electrical and Electronics Engineers (IEEE)	2024-06-01
Imaginary past of a quantum particle moving on imaginary time Authors: A. Uranga,E. Akhmatskaya,D. Sokolovski The analytical continuation of classical equations of motion to complex times suggests that a tunneling particle spends in the barrier an imaginary duration i \|T \|. Does this… American Physical Society (APS)	2024-05-21
Robust Variational Physics-Informed Neural Networks Authors: Sergio Rojas,Paweł Maczuga,Judit Muñoz-Matute,David Pardo,Maciej Paszyński We introduce a Robust version of the Variational Physics-Informed Neural Networks method (RVPINNs). As in VPINNs, we define the quadratic loss functional in terms of a Petrov-Galerkin-type variational formulation of the PDE problem: the trial space is a (Deep) Neural Network (DNN) manifold, while… Elsevier BV	2024-05-01
Non-imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive Survey Authors: Xiaodan Xing,Huanjun Wu,Lichao Wang,Iain Stenson,May Yong,Javier Del Ser,Simon Walsh,Guang Yang Data quality is a key factor in the development of trustworthy AI in healthcare. A large volume of curated datasets with controlled confounding factors can improve the accuracy, robustness, and privacy of downstream AI algorithms. However, access to high-quality datasets is limited by the technical… Association for Computing Machinery (ACM)	2024-04-09
Fast $K$-Medoids With the $l_{1}$-Norm Authors: Marco Capó,Aritz Pérez,Jose A. Lozano K-medoids clustering is one of the most popular techniques in exploratory data analysis. The most commonly used algorithms to deal with this problem are quadratic on the number of instances, n, and usually the quality of the obtained solutions strongly depends upon their initialization phase. In… Institute of Electrical and Electronics Engineers (IEEE)	2024-04-01
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends Authors: M. Victoria Luzón,Nuria Rodríguez-Barroso,Alberto Argente-Garrido,Daniel Jiménez-López,Jose M. Moyano,Javier Del Ser,Weiping Ding,Francisco Herrera Institute of Electrical and Electronics Engineers (IEEE)	2024-04-01
Machine learning model to predict evolution of pulseless electrical activity during in-hospital cardiac arrest Authors: Jon Urteaga,Andoni Elola,Anders Norvik,Eirik Unneland,Trygve C. Eftestøl,Abhishek Bhardwaj,David Buckler,Benjamin S. Abella,Eirik Skogvoll,Elisabete Aramendi BACKGROUND: During pulseless electrical activity (PEA) the cardiac mechanical and electrical functions are dissociated, a phenomenon occurring in 25–42% of in-hospital cardiac arrest (IHCA) cases. Accurate evaluation of the likelihood of a PEA patient transitioning to return of spontaneous… Elsevier BV	2024-03-01
Dynamical Phenomena in the Martian Atmosphere Through Mars Express Imaging Authors: A. Sánchez-Lavega,T. del Río-Gaztelurrutia,A. Spiga,J. Hernández-Bernal,E. Larsen,D. Tirsch,A. Cardesin-Moinelo,P. Machado AbstractThis review describes the dynamic phenomena in the atmosphere of Mars that are visible in images taken in the visual range through cloud formation and dust lifting. We describe the properties of atmospheric features traced by aerosols covering a large range of spatial and temporal scales,… Springer Science and Business Media LLC	2024-02-01
Intelligent Underwater Object Detection and Image Restoration for Autonomous Underwater Vehicles Authors: Sheezan Fayaz,Shabir A. Parah,G. J. Qureshi,Jaime Lloret,Javier Del Ser,Khan Muhammad This work was supported in part by the Department of Electronics and Instrumentation Technology, funded by the Indian Government through Science and Heritage Research Initiative (SHRI) scheme under Grant DST/TDT/SHRI-33/2018. The work of J. Del Ser was supported by the Basque Government through… Institute of Electrical and Electronics Engineers (IEEE)	2024-02-01