• Generalizing max pooling via (a, b)-grouping functions for convolutional neural networks 

  Rodríguez Martínez, Iosu  ; Asmus, Tiago  ; Pereira Dimuro, Graçaliz  ; Herrera, Francisco; Takáč, Zdenko; Bustince Sola, Humberto   (Elsevier, 2023)   Artículo / Artikulua  

  Due to their high adaptability to varied settings and effective optimization algorithm, Convolutional Neural Networks (CNNs) have set the state-of-the-art on image processing jobs for the previous decade. CNNs work in a ...

• An enhanced approach to virtually increase quasi-stationarity regions within geometric channel models for vehicular communications 

  Rodríguez Corbo, Fidel Alejandro; Celaya Echarri, Mikel; Shubair, Raed M.; Falcone Lanas, Francisco  ; Azpilicueta Fernández de las Heras, Leyre   (IEEE, 2023)   Artículo / Artikulua  

  Vehicular communication channels are intrinsically non-stationary, as they present high mobility and abundant dynamic scatterers. Quasi-stationary regions can assess the degree of non-stationarity within a determined ...

• High-dimensional order-free multivariate spatial disease mapping 

  Vicente Fuenzalida, Gonzalo; Adin Urtasun, Aritz  ; Goicoa Mangado, Tomás; Ugarte Martínez, María Dolores   (Springer, 2023)   Artículo / Artikulua  

  Despite the amount of research on disease mapping in recent years, the use of multivariate models for areal spatial data remains limited due to difficulties in implementation and computational burden. These problems are ...

• On the notion of fuzzy dispersion measure and its application to triangular fuzzy numbers 

  Roldán López de Hierro, Antonio Francisco; Bustince Sola, Humberto  ; Rueda, María del Mar; Roldán, Concepción; Miguel Turullols, Laura de  ; Guerra, Carlos  (Elsevier, 2023)   Artículo / Artikulua  

  In this paper, based on the analysis of the most widely used dispersion measure in the real context (namely, the variance), we introduce the notion of fuzzy dispersion measure associated to a finite set of data given by ...

• Exploring disease mapping models in big data contexts: some new proposals 

  Orozco Acosta, Erick (2023)   Tesis doctoral / Doktoretza tesia  

  La representación cartográfica de enfermedades es un área de investigación muy relevante y significativa dentro del campo de la estadística espacial (datos de área), ya que ofrece un apoyo muy importante para la toma de ...

• Predicting cancer incidence in regions without population-based cancer registries using mortality 

  Retegui Goñi, Garazi; Etxeberria Andueza, Jaione  ; Riebler, Andrea; Ugarte Martínez, María Dolores   (Oxford University Press, 2023)   Artículo / Artikulua  

  Cancer incidence numbers are routinely recorded by national or regional population-based cancer registries (PBCRs). However, in most southern European countries, the local PBCRs cover only a fraction of the country. ...

• Association of intrinsic capacity with incidence and mortality of cardiovascular disease: prospective study in UK Biobank 

  Ramírez Vélez, Robinson; Iriarte-Fernández, María; Santafé Rodrigo, Guzmán  ; Malanda Trigueros, Armando  ; Beard, John R.; García Hermoso, Antonio; Izquierdo Redín, Mikel (Wiley, 2023)   Artículo / Artikulua  

  Background: The World Health Organization proposed the concept of intrinsic capacity (IC; the composite of all the physical and mental capacities of the individual) as central for healthy ageing. However, little research ...

• Verification system based on long-range iris and Graph Siamese Neural Networks 

  Zola, Francesco; Fernandez-Carrasco, José Álvaro; Bruse, Jan Lukas; Galar Idoate, Mikel  ; Geradts, Zeno (ACM, 2022)   Contribución a congreso / Biltzarrerako ekarpena  

  Biometric systems represent valid solutions in tasks like user authentication and verification, since they are able to analyze physical and behavioural features with high precision. However, especially when physical ...

• Fiber-optic brillouin distributed sensors: from dynamic to long-range measurements 

  Loayssa Lara, Alayn; Urricelqui Polvorinos, Javier  ; Iribas Pardo, Haritz  ; Mompó Roselló, Juan José ; Mariñelarena Ollacarizqueta, Jon   (CRC Press, 2018)   Capítulo de libro / Liburuen kapitulua  

  This chapter focuses on Brillouin optical time-domain analysis (BOTDA) sensors because they are the most successful Brillouin distributed sensors (BDS) type in terms of performance and practical applications. Distributed ...

• Gender stereotyping impact in facial expression recognition 

  Domínguez Catena, Iris  ; Paternain Dallo, Daniel  ; Galar Idoate, Mikel   (Springer, 2023)   Contribución a congreso / Biltzarrerako ekarpena

  Facial Expression Recognition (FER) uses images of faces to identify the emotional state of users, allowing for a closer interaction between humans and autonomous systems. Unfortunately, as the images naturally integrate ...

• Avatarians: playing with your friends' data 

  Marzo Pérez, Asier  ; Ardaiz Villanueva, Óscar   (ACM, 2012)   Contribución a congreso / Biltzarrerako ekarpena  

  This article describes a new game mechanic called Game Entity Social Mapping (GESM) based on using social networking data fetched from a remote site about the player and his contacts to create characters, items or scenarios. ...

• Space-time parallel methods for evolutionary reaction-diffusion problems 

  Arrarás Ventura, Andrés  ; Gaspar, F. J.; Portero Egea, Laura  ; Rodrigo, C. (Springer, 2023)   Contribución a congreso / Biltzarrerako ekarpena

  In recent years, the gradual saturation of parallelization in space has been a strongmotivation for the design and analysis of new parallel-in-time algorithms. Amongthese methods, the parareal algorithm, first introduced ...

• Quantifying external information in social network analysis: an application to comparative mythology 

  Fumanal Idocin, Javier  ; Cordón García, Óscar; Pereira Dimuro, Graçaliz  ; Roldán López de Hierro, Antonio Francisco; Bustince Sola, Humberto   (IEEE, 2023)   Artículo / Artikulua  

  Social network analysis is a popular tool to understand the relationships between interacting agents by studying the structural properties of their connections. However, this kind of analysis can miss some of the domain-specific ...

• MmWave channel stationarity analysis of V2X communications in an urban environment 

  Rodríguez Corbo, Fidel Alejandro; Azpilicueta Fernández de las Heras, Leyre  ; Celaya Echarri, Mikel; Shubair, Raed M.; Falcone Lanas, Francisco   (IEEE, 2023)   Artículo / Artikulua  

  Vehicular communication channels are subject to high nonstationarity mainly characterized by the scatterers’ and/or transceivers’ high mobility. In this sense, this letter presents a characterization of the channel ...

• The ideal of Lesieur-Croisot elements of Jordan pairs 

  Montaner, Fernando; Paniello Alastruey, Irene   (Taylor and Francis Group, 2023)   Artículo / Artikulua

  We study the sets of elements of Jordan pairs whose local Jordan algebras are Lesieur-Croisot algebras, that is, classical orders in nondegenerate Jordan algebras with finite capacity. It is then proved that, if the Jordan ...

• Measures of embedding for interval-valued fuzzy sets 

  Bouchet, Agustina; Sesma Sara, Mikel  ; Ochoa Lezaun, Gustavo  ; Bustince Sola, Humberto  ; Montes, Susana; Díaz, Irene (Elsevier, 2023)   Artículo / Artikulua  

  Interval-valued fuzzy sets are a generalization of classical fuzzy sets where the membership values are intervals. The epistemic interpretation of interval-valued fuzzy sets assumes that there is one real-valued membership ...

• Hierarchical spatio-temporal change-point detection 

  Moradi, Mohammad Mehdi  ; Cronie, Ottmar; Pérez Goya, Unai  ; Mateu, Jorge (Taylor and Francis Group, 2023)   Artículo / Artikulua  

  Detecting change-points in multivariate settings is usually carried out by analyzing all marginals either independently, via univariate methods, or jointly, through multivariate approaches. The former discards any inherent ...

• Acuity-based rotational patient-to-physician assignment in an emergency department using electronic health records in triage 

  Cildoz Esquíroz, Marta  ; Ibarra Bolt, Amaya; Mallor Giménez, Fermín   (SAGE, 2023)   Artículo / Artikulua  

  Emergency department (ED) operational metrics generated by a new acuity-based rotational patient-to-physician assignment (ARPA) algorithm are compared with those obtained with a simple rotational patient assignment (SRPA) ...

• A multistate model and its standalone tool to predict hospital and ICU occupancy by patients with COVID-19 

  Lafuente, Miguel; López, Francisco Javier; Mateo, Pedro; Cebrián, Ana Carmen; Asín, Jesús; Moler Cuiral, José Antonio  ; Borque-Fernando, Ángel; Esteban, Luis Mariano; Pérez-Palomares, Ana; Sanz, Gerardo (Elsevier, 2023)   Artículo / Artikulua  

  Objective: This study aims to build a multistate model and describe a predictive tool for estimating the daily number of intensive care unit (ICU) and hospital beds occupied by patients with coronavirus 2019 disease ...

• VII Jornadas de enseñanza y aprendizaje de las matemáticas en Navarra: libro de actas 

  Jiménez, Jesús Javier; Lasa Oyarbide, Aitzol  (2022)   Contribución a congreso / Biltzarrerako ekarpena  

  La estrecha colaboración entre la Sociedad Navarra de Profesores de Matemáticas TORNAMIRA, junto con el CAP de Pamplona y la UPNA, fue fundamental para hacer posible la celebración de las VII Jornadas de enseñanza de ...

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