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  • 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, ...
  • Vegetable waste extracts as enhancers of baculovirus infections 

    Martínez Inda, Blanca Upna; Simón de Goñi, Oihane Upna Orcid; Jiménez Moreno, Nerea Upna Orcid; Esparza Catalán, Irene Upna; Moler Cuiral, José Antonio Upna Orcid; Caballero Murillo, Primitivo Upna Orcid; Ancín Azpilicueta, Carmen Upna Orcid (Elsevier, 2023)   Artículo / Artikulua  OpenAccess
    Vegetable waste extracts (VWE) contain a great variety of antioxidants such as polyphenols, which have shown to potentiate baculovirus infections, making them ingredients for pest control ingredients. In the present study, ...
  • A scalable approach for short-term disease forecasting in high spatial resolution areal data 

    Orozco Acosta, Erick; Riebler, Andrea; Adin Urtasun, Aritz Upna Orcid; Ugarte Martínez, María Dolores Upna Orcid (Wiley-VCH, 2023)   Artículo / Artikulua  OpenAccess
    Short-term disease forecasting at specific discrete spatial resolutions has become a high-impact decision-support tool in health planning. However, when the number of areas is very large obtaining predictions can be ...
  • 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 ...
  • 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 ...
  • Price of Anarchy with multiple information sources under competition 

    Miguelez García, Fernando; Ayesta, Urtzi; Doncel, Josu (Elsevier, 2023)   Artículo / Artikulua  OpenAccess
    We characterize the Price of Anarchy (PoA) in a single channel under the presence of K competing sources. As performance metric we consider the Age of Information, which measures the freshness of information in a remote ...
  • Risk-averse decision-making to maintain supply chain viability under propagated disruptions 

    Sawik, Tadeusz; Sawik, Bartosz (Taylor and Francis Group, 2023)   Artículo / Artikulua
    In this paper, stochastic optimisation of CVaR is applied to maintain risk-averse viability and improve resilience of a supply chain under propagated disruptions. In order to establish the risk-averse boundaries on supply ...
  • 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 ...
  • 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 ...
  • Degree of totalness: how to choose the best admissible permutation for vector fuzzy integration 

    Ferrero Jaurrieta, Mikel; Horanská, Lubomíra; Lafuente López, Julio Upna Orcid; Mesiar, Radko; Pereira Dimuro, Graçaliz Upna Orcid; Takáč, Zdenko; Gómez Fernández, Marisol Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Bustince Sola, Humberto Upna Orcid (Elsevier, 2023)   Artículo / Artikulua
    The use of aggregation operators that require ordering of the data brings a problem when the structures to be aggregated are multi-valued, since there may be several admissible orders. To addressing this problem, the concept ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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. ...
  • 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 ...
  • 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 ...
  • Design of an immersive virtual reality framework to enhance the sense of agency using affective computing technologies 

    Ortiz Nicolás, Amalia; Elizondo Martínez, Sonia (MDPI, 2023)   Artículo / Artikulua  OpenAccess
    Virtual Reality is expanding its use to several fields of application, including health and education. The continuous growth of this technology comes with new challenges related to the ways in which users feel inside these ...
  • 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 ...
  • Modeling of noisy acceleration signals from quasi-periodic movements for drift-free position estimation 

    Zivanovic, M; Millor, N; Gomez, M; Gómez Fernández, Marisol Upna Orcid; Millor Muruzabal, Nora; Zivanovic Jeremic, Miroslav (IEEE, 2019)   Artículo / Artikulua  OpenAccess
    We present a novel approach to drift-free position estimation from noisy acceleration signals which often arise from quasi-periodic small-amplitude body movements. In contrast to the existing methods, this data-driven ...

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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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