Now showing items 1-20 of 75

    • Multi-temporal data augmentation for high frequency satellite imagery: a case study in Sentinel-1 and Sentinel-2 building and road segmentation 

      Ayala Lauroba, Christian; Aranda Magallón, Coral Upna; Galar Idoate, Mikel Upna Orcid (ISPRS, 2022)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Semantic segmentation of remote sensing images has many practical applications such as urban planning or disaster assessment. Deep learning-based approaches have shown their usefulness in automatically segmenting large ...
    • A preliminary study about gender gap perception in informatics studies in Spain 

      García-Holgado, Alicia; González-González, Carina S.; García Fernández, Inmaculada; Moreno López, Lourdes; Barrenechea Tartas, Edurne Upna Orcid; Rueda, Silvia; Navarro, Ángeles G.; Martínez, Paloma; Masiá, Belén; Navarro, Elena; Fornés, Alicia (IEEE, 2022)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      The gender gap in STEM is an issue that affects regions and countries worldwide. Furthermore, the percentage of women in these areas depends on a range of different factors. In particular, the gender gap is critical in ...
    • Application of the Sugeno integral in fuzzy rule-based classification 

      Wieczynski, Jonata; Lucca, Giancarlo; Borges, Eduardo N.; Pereira Dimuro, Graçaliz Upna Orcid (Springer, 2022)   Contribución a congreso / Biltzarrerako ekarpena
      Fuzzy Rule-Based Classification System (FRBCS) is a well known technique to deal with classification problems. Recent studies have considered the usage of the Choquet integral and its generalizations to enhance the quality ...
    • Analysing capacity challenges in the Multi-Airport System of Mexico City 

      Mújica Mota, Miguel; Izco Berastegui, Irene; Faulín Fajardo, Javier Upna Orcid (Dime University of Genoa, 2022)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      The relentless growth in Mexico City’s aviation traffic has inevitably strained capacity development of its airport, raising the dilemma between the possible solutions. In the present study, Mexico’s Multi-Airport System ...
    • Simheuristics: an introductory tutorial 

      Juan, Ángel A.; Li, Yuda; Ammouriova, Majsa; Panadero, Javier; Faulín Fajardo, Javier Upna Orcid (IEEE, 2022)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Both manufacturing and service industries are subject to uncertainty. Probability techniques and simulation methods allow us to model and analyze complex systems in which stochastic uncertainty is present. When the goal ...
    • Grape stems as preservative in Tempranillo wine 

      Pires Nogueira, Danielle; Jiménez Moreno, Nerea Upna Orcid; Esparza Catalán, Irene Upna; Moler Cuiral, José Antonio Upna Orcid; Ancín Azpilicueta, Carmen Upna Orcid (2022)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      SO2 is the most widely used preservative in the wine industry. However, there are several drawbacks related with the use of SO2 in wine, such as, its toxicity and the unpleasant odor in case of excess [1]. These reasons ...
    • Monitoring of electric buses within an urban smart city environment 

      Astrain Escola, José Javier Upna Orcid; Falcone Lanas, Francisco Javier Upna Orcid; López Martín, Antonio Upna Orcid; Sanchis Gúrpide, Pablo Upna Orcid; Villadangos Alonso, Jesús Upna Orcid (IEEE, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      A practical experience on monitoring the data generated by electric buses is presented, focusing on energy consumption, charge and state of the batteries. The work is carried out in the framework of a global smart city ...
    • Explainable classification methods for fish species detection using hydroacoustic data 

      Costa, Lucas Tubino Bonifacio; Lucca, Giancarlo; Pereira Dimuro, Graçaliz Upna Orcid; Borges, Eduardo N.; Emmendorfer, Leonardo R.; Weigert, Stefan Cruz (IEEE, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      This work aims to evaluate explainable classification methods for the detection of fish species from hydroacoustic data acquired by echo sounders at a region near the coastline of south and southeastern Brazil. Decision ...
    • Improving input parameter estimation in online pandemic simulation 

      García de Vicuña Bilbao, Daniel Upna Orcid; Mallor Giménez, Fermín Upna Orcid (IEEE, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Simulation models are suitable tools to represent the complexity and randomness of hospital systems. To be used as forecasting tools during pandemic waves, it is necessary an accurate estimation, by using real-time data, ...
    • General admissibly ordered interval-valued overlap functions 

      Asmus, Tiago Upna Orcid; Pereira Dimuro, Graçaliz Upna Orcid; Sanz Delgado, José Antonio Upna Orcid; Wieczynski, Jonata; Lucca, Giancarlo; Bustince Sola, Humberto Upna Orcid (CEUR Workshop Proceedings (CEUR-WS.org), 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Overlap functions are a class of aggregation functions that measure the verlapping degree between two values. They have been successfully applied in several problems in which associativity is not required, such as ...
    • Improving Michigan-style fuzzy-rule base classification generation using a Choquet-like Copula-based aggregation function 

      Hinojosa-Cardenas, Edward; Sarmiento-Calisaya, Edgar; Camargo, Heloisa A.; Sanz Delgado, José Antonio Upna Orcid (CEUR Workshop Proceedings (CEUR-WS.org), 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      This paper presents a modification of a Michigan-style fuzzy rule based classifier by applying the Choquet-like Copula-based aggregation function, which is based on the minimum t-norm and satisfies all the conditions ...
    • Fuzzy sets complement-based gated recurrent unit 

      Ferrero Jaurrieta, Mikel; Pereira Dimuro, Graçaliz Upna Orcid; Takáč, Zdenko; Santiago, Regivan; Fernández Fernández, Francisco Javier Upna Orcid; Bustince Sola, Humberto Upna Orcid (CEUR Workshop Proceedings (CEUR-WS.org), 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Gated Recurrent Units (GRU) are neural network gated architectures that simplify other ones (suchas, LSTM) by joining gates mainly. For this, instead of using two gates, if𝑥is the first gate, standardoperation1−𝑥is used ...
    • Gated local adaptive binarization using supervised learning 

      Fumanal Idocin, Javier Upna Orcid; Uriarte Barragán, Juan; Osa Hernández, Borja de la Upna; Bardozzo, Francesco; Fernández Fernández, Francisco Javier Upna Orcid; Bustince Sola, Humberto Upna Orcid (CEUR Workshop Proceedings (CEUR-WS.org), 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Image thresholding is one of the most popular problems in image processing. However, changes inlightning and contrast in an image can cause trouble for the existing algorithms that use a global threshold for all the image. ...
    • Exploring the relationships between data complexity and classification diversity in ensembles 

      Formentín Garcia, Nathan; Tiggeman, Frederico; Borges, Eduardo N.; Lucca, Giancarlo; Santos, Helida; Pereira Dimuro, Graçaliz Upna Orcid (SciTePress, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Several classification techniques have been proposed in the last years. Each approach is best suited for a particular classification problem, i.e., a classification algorithm may not effectively or efficiently recognize ...
    • CC-separation measure applied in business group decision making 

      Wieczynski, Jonata; Lucca, Giancarlo; Borges, Eduardo N.; Pereira Dimuro, Graçaliz Upna Orcid; Lourenzutti, Rodolfo; Bustince Sola, Humberto Upna Orcid (SciTePress, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      In business, one of the most important management functions is decision making The Group Modular Choquet Random TOPSIS (GMC-RTOPSIS) is a Multi-Criteria Decision Making (MCDM) method that can work with multiple heterogeneous ...
    • Using academic genealogy for recommending supervisors 

      Madeira, Gabriel; Borges, Eduardo N.; Lucca, Giancarlo; Carvalho-Segundo, Washington; Wieczynski, Jonata; Santos, Helida; Pereira Dimuro, Graçaliz Upna Orcid (SciTePress, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Selecting an academic supervisor is a complicated task. Masters and Ph.D. candidates usually select the most prestigious universities in a given region, investigate the graduate programs in a research area of interest, and ...
    • Distance transformations based on ordered weighted averaging operators 

      López Molina, Carlos Upna Orcid; Miguel Turullols, Laura de Upna Orcid; Iglesias Rey, Sara Upna Orcid; Bustince Sola, Humberto Upna Orcid; Baets, Bernard de (University of Hawaii Press, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Binary image comparison has been a study subject for a long time, often rendering in context-specific solutions that depend upon the type of visual contents in the binary images. Distance transformations have been a recurrent ...
    • Combinations of affinity functions for different community detection algorithms in social networks 

      Fumanal Idocin, Javier Upna Orcid; Cordón, Óscar; Minárová, María; Alonso Betanzos, Amparo; Bustince Sola, Humberto Upna Orcid (University of Hawaii Press, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Social network analysis is a popular discipline among the social and behavioural sciences, in which the relationships between different social entities are modelled as a network. One of the most popular problems in social ...
    • Sobre órdenes admisibles en el conjunto de números borrosos discretos y su aplicación en problemas de toma de decisiones 

      Riera, Juan Vicente; Massanet, Sebastia; Bustince Sola, Humberto Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid (Universidad de Málaga, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Este trabajo es un resumen del artículo [1] publicado en Mathematics para su presentación en la Multiconferencia CAEPIA’21 KeyWorks.
    • New classes of the moderate deviation functions 

      Spirkova, Jana; Bustince Sola, Humberto Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Sesma Sara, Mikel Upna Orcid (Springer Nature, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      At present, in the field of aggregation of various input values, attention is focused on the construction of aggregation functions using other functions that can affect the resulting aggregated value. This resulting value ...