• Body composition and resting energy expenditure in a group of children with achondroplasia 

      Garde-Etayo, Laura; Trandafir, Paula Camelia Upna Orcid; Saint-Laurent, Céline; Ugarte Martínez, María Dolores Upna Orcid; Insausti Serrano, Ana María Upna Orcid (Elsevier, 2024)   Artículo / Artikulua  OpenAccess
      Background: Persons with achondroplasia develop early obesity, which is a comorbidity associated with other complications. Currently, there are no validated specific predictive equations to estimate resting energy expenditure ...
    • Probabilistic study of induced ordered linear fusion operators for time series forecasting 

      Baz, Juan; Ferrero Jaurrieta, Mikel; Díaz, Irene; Montes, Susana; Beliakov, Gleb Upna; Bustince Sola, Humberto Upna Orcid (Elsevier, 2024)   Artículo / Artikulua  OpenAccess
      The aggregation of several predictors in time series forecasting has been used intensely in the last decade in order to construct a better resulting model. Some of the most used alternatives are the ones related to the ...
    • Jordan 3-graded Lie algebras with polynomial identities 

      Montaner, Fernando; Paniello Alastruey, Irene Upna Orcid (Elsevier, 2024)   Artículo / Artikulua  OpenAccess
      We study Jordan 3-graded Lie algebras satisfying 3-graded polynomial identities. Taking advantage of the Tits-Kantor-Koecher construction, we interpret the PI-condition in terms of their associated Jordan pairs, which ...
    • Non-symmetric over-time pooling using pseudo-grouping functions for convolutional neural networks 

      Ferrero Jaurrieta, Mikel; Paiva, Rui; Cruz, Anderson; Bedregal, Benjamin Upna Orcid; Miguel Turullols, Laura de Upna Orcid; Takáč, Zdenko; López Molina, Carlos Upna Orcid; Bustince Sola, Humberto Upna Orcid (Elsevier, 2024)   Artículo / Artikulua
      Convolutional Neural Networks (CNNs) are a family of networks that have become state-of-the-art in several fields of artificial intelligence due to their ability to extract spatial features. In the context of natural ...
    • Submultiplicative norms in CC(K) spaces with applications to uniform algebras 

      Albiac Alesanco, Fernando José Upna Orcid; Blasco, Óscar; Briem, E. (Springer, 2024)   Artículo / Artikulua  OpenAccess
      Certain algebra norms on the algebra of functions on a two-point set are defined and used to construct a new family of parametric algebra norms on the space CC(K) of continuous complex-valued functions on a compact Hausdorff ...
    • A new family of aggregation functions for intervals 

      Díaz-Vázquez, Susana; Torres-Manzanera, Emilio; Rico, Noelia; Mesiar, Radko; Rodríguez Martínez, Iosu Upna Orcid; Lafuente López, Julio Upna Orcid; Díaz, Irene; Montes, Susana; Bustince Sola, Humberto Upna Orcid (Springer, 2024)   Artículo / Artikulua  OpenAccess
      Aggregation operators are unvaluable tools when different pieces of information have to be taken into account with respect to the same object. They allow to obtain a unique outcome when different evaluations are available ...
    • Optimizing last-mile delivery: a multi-criteria approach with automated smart lockers, capillary distribution and crowdshipping 

      Sawik, Bartosz (MDPI, 2024)   Artículo / Artikulua  OpenAccess
      Background: This publication presents a review, multiple criteria optimization models, and a practical example pertaining to the integration of automated smart locker systems, capillary distribution networks, crowdshipping, ...
    • Logistic regression versus XGBoost for detecting burned areas using satellite images 

      Militino, Ana F. Upna Orcid; Goyena Baroja, Harkaitz; Pérez-Goya, Unai Upna Orcid; Ugarte Martínez, María Dolores Upna Orcid (Springer, 2024)   Artículo / Artikulua  OpenAccess
      Classical statistical methods prove advantageous for small datasets, whereas machine learning algorithms can excel with larger datasets. Our paper challenges this conventional wisdom by addressing a highly significant ...
    • Ultrametrics for context-aware comparison of binary images 

      López Molina, Carlos Upna Orcid; Iglesias Rey, Sara Upna Orcid; Baets, Bernard de (Elsevier, 2024)   Artículo / Artikulua  OpenAccess
      Quantitative image comparison has been a key topic in the image processing literature for the past 30 years. The reasons for it are diverse, and so is the range of applications in which measures of comparison are needed. ...
    • Counterexamples in isometric theory of symmetric and greedy bases 

      Albiac Alesanco, Fernando José Upna Orcid; Ansorena, José L.; Blasco, Óscar; Chu, Hùng Việt; Oikhberg, Timur (Elsevier, 2024)   Artículo / Artikulua  OpenAccess
      We continue the study initiated in Albiac and Wojtaszczyk (2006) of properties related to greedy bases in the case when the constants involved are sharp, i.e., in the case when they are equal to 1. Our main goal here is ...
    • UAVradio: Radio link path loss estimation for UAVs 

      Aláez Gómez, Daniel; Celaya Echarri, Mikel; Azpilicueta Fernández de las Heras, Leyre Upna Orcid; Villadangos Alonso, Jesús Upna Orcid (Elsevier, 2024)   Artículo / Artikulua  OpenAccess
      The UAVRadio Python module is a comprehensive toolkit designed to facilitate the analysis and prediction of radio signal path loss in Unmanned Aerial Vehicle (UAV) communication scenarios. The module encompasses a range ...
    • Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences 

      Echegoyen Arruti, Carlos; Pérez, Aritz; Santafé Rodrigo, Guzmán Upna Orcid; Pérez-Goya, Unai Upna Orcid; Ugarte Martínez, María Dolores Upna Orcid (Springer, 2024)   Artículo / Artikulua  OpenAccess
      Temporal sequences of satellite images constitute a highly valuable and abundant resource for analyzing regions of interest. However, the automatic acquisition of knowledge on a large scale is a challenging task due to ...
    • Comment on 'Effects of Vivifrail multicomponent intervention on functional capacity' by Casas-Herrero et al.-The authors reply. 

      Sánchez Sánchez, Juan Luis Upna; Izquierdo Redín, Mikel; López Saez de Asteasu, Mikel; Antón Rodrigo, Iván; Galbete Jiménez, Arkaitz Upna Orcid; Álvarez Bustos, Alejandro; Casas Herrero, Álvaro Upna (Wiley, 2024)   Artículo / Artikulua  OpenAccess
      In this response letter, we would like to clarify some aspects related to the methodology and inferences derived from our work entitled 'Effects of Vivifrail multicomponent intervention on functional capacity', which was ...
    • A criterion and incremental design construction for simultaneous kriging predictions 

      Waldl, Helmut; Müller, Werner G.; Trandafir, Paula Camelia Upna Orcid (Elsevier, 2024)   Artículo / Artikulua  OpenAccess
      In this paper, we further investigate the problem of selecting a set of design points for universal kriging, which is a widely used technique for spatial data analysis. Our goal is to select the design points in order to ...
    • Nyström discretizations of boundary integral equations for the solution of 2D elastic scattering problems 

      Domínguez Baguena, Víctor Upna Orcid; Turc, Catalin (Elsevier, 2024)   Artículo / Artikulua
      We present three high-order Nyström discretization strategies of various boundary integral equation formulations of the impenetrable time-harmonic Navier equations in two dimensions. One class of such formulations is ...
    • Construction methods of fuzzy implications on bounded posets 

      Wang, Mei; Zhang, Xiaohong; Bustince Sola, Humberto Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid (Elsevier, 2024)   Artículo / Artikulua
      The fuzzy implication on bounded lattices was introduced by Palmeira et al., and the method of extending fuzzy implications on bounded lattices by using retraction was provided. However, we find that the extension of fuzzy ...
    • Supervised penalty-based aggregation applied to motor-imagery based brain-computer-interface 

      Fumanal Idocin, Javier Upna Orcid; Vidaurre, Carmen Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Gómez Fernández, Marisol Upna Orcid; Andreu-Perez, J.; Prasad, M.; Bustince Sola, Humberto Upna Orcid (Elsevier, 2024)   Artículo / Artikulua  OpenAccess
      In this paper we propose a new version of penalty-based aggregation functions, the Multi Cost Aggregation choosing functions (MCAs), in which the function to minimize is constructed using a convex combination of two relaxed ...
    • A study on the suitability of different pooling operators for convolutional neural networks in the prediction of COVID-19 through chest x-ray image analysis 

      Rodríguez Martínez, Iosu Upna Orcid; Ursúa Medrano, Pablo; Fernández Fernández, Francisco Javier Upna Orcid; Takáč, Zdenko; Bustince Sola, Humberto Upna Orcid (Elsevier, 2024)   Artículo / Artikulua  OpenAccess
      The 2019 coronavirus disease outbreak, caused by the severe acute respiratory syndrome type-2 virus (SARS-CoV-2), was declared a pandemic in March 2020. Since its emergence to the present day, this disease has brought ...
    • Designing experiments for estimating an appropriate outlet size for a silo type problem 

      López Fidalgo, Jesús; May, Caterina; Moler Cuiral, José Antonio Upna Orcid (Institute of Mathematical Statistics, 2023)   Artículo / Artikulua  OpenAccess
      Jam formation is a problem that may occur when granular material is discharged by gravity from a silo. The estimation of the minimum outlet size, which guarantees that the time to the next jamming event is long enough, can ...
    • Contactless electrostatic piloerection for haptic sensations 

      Iriarte Cárdenas, Naroa; Ezcurdia Aguirre, Íñigo Fermín Upna Orcid; Elizondo Martínez, Sonia; Irisarri Erviti, Josu; Hemmerling, Daria; Ortiz Nicolás, Amalia; Marzo Pérez, Asier Upna Orcid (IEEE, 2023)   Artículo / Artikulua  OpenAccess
      In this project, we create artificial piloerection using contactless electrostatics to induce tactile sensations in a contactless way. Firstly, we design various high-voltage generators and evaluate them in terms of their ...

      El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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