• Dissimilarity based choquet integrals 

      Bustince Sola, Humberto Upna Orcid; Mesiar, Radko; Fernández Fernández, Francisco Javier Upna Orcid; Galar Idoate, Mikel Upna Orcid; Paternain Dallo, Daniel Upna Orcid (Springer, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      In this paper, in order to generalize the Choquet integral, we replace the difference between inputs in its definition by a restricted dissimilarity function and refer to the obtained function as d-Choquet integral. For ...
    • 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 ...
    • Distributed opportunistic wireless mapping system towards smart city service provision 

      Villadangos Alonso, Jesús Upna Orcid; Falcone Lanas, Francisco Javier Upna Orcid; López Martín, Antonio Upna Orcid; Astrain Escola, José Javier Upna Orcid; Sanchis Gúrpide, Pablo Upna Orcid; Matías Maestro, Ignacio Upna Orcid (IEEE, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      The knowledge of wireless signal distribution within an urban scenario can provide useful information to users as well as to enhance connectivity and device operation or to perform municipal logistics based on crowd density ...
    • EEG-based endogenous online co-adaptive brain-computer interfaces: strategy for success? 

      Scherer, Reinhold; Faller, Josef; Sajda, Paul; Vidaurre, Carmen Upna Orcid (IEEE, 2018)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      A Brain-Computer Interface (BCI) translates patterns of brain signals such as the electroencephalogram (EEG) into messages for communication and control. In the case of endogenous systems the reliable detection of induced ...
    • An empirical study on supervised and unsupervised fuzzy measure construction methods in highly imbalanced classification 

      Uriz Martín, Mikel Xabier Upna Orcid; Paternain Dallo, Daniel Upna Orcid; Bustince Sola, Humberto Upna Orcid; Galar Idoate, Mikel Upna Orcid (IEEE, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      The design of an ensemble of classifiers involves the definition of an aggregation mechanism that produces a single response obtained from the information provided by the classifiers. A specific aggregation methodology ...
    • Enhancing LSTM for sequential image classification by modifying data aggregation 

      Takáč, Zdenko; Ferrero Jaurrieta, Mikel; Horanská, Lubomíra; Krivonakova, Nada; Pereira Dimuro, Graçaliz Upna Orcid; Bustince Sola, Humberto Upna Orcid (IEEE, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Recurrent Neural Networks (RNN) model sequential information and are commonly used for the analysis of time series. The most usual operation to fuse information in RNNs is the sum. In this work, we use a RNN extended type, ...
    • Evolution of L-fuzzy contexts associated with criteria 

      Alcalde, Cristina; Burusco Juandeaburre, Ana Upna Orcid (Springer, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      This paper will delve deeper into the general study of the L-fuzzy contexts associated with criteria analyzing situations with a known evolution over time. These criteria may be independent or dependent on each other. We ...
    • 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 ...
    • Exploring the addition of audio input to wearable punch recognition 

      Quintero Ovalle, Juan; Stawarz, Katarzyna; Marzo Pérez, Asier Upna Orcid (Association for Computing Machinery (ACM), 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Martial arts can promote healthy lifestyles, improve self-confidence and provide self-defence skills. Previous work has demonstrated that inertial sensors can be used to recognise movements such as punches in boxing and ...
    • 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 ...
    • Extensión multidimensional de la integral de Choquet discreta y su aplicación en redes neuronales recurrentes 

      Ferrero Jaurrieta, Mikel; Rodríguez Martínez, Iosu Upna Orcid; Pereira Dimuro, Graçaliz Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Bustince Sola, Humberto Upna Orcid (Universidad de Málaga, 2021)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      En este trabajo presentamos una definición de la integral de Choquet discreta n-dimensional, para fusionar datos vectoriales. Como aplicación, utilizamos estas nuevas integrales de Choquet discretas multidimensionales en ...
    • A fast SSVEP-based brain-computer interface 

      Jorajuría, Tania Upna Orcid; Gómez Fernández, Marisol Upna Orcid; Vidaurre, Carmen Upna Orcid (Springer, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Literature of brain-computer interfacing (BCI) for steady-state visual evoked potentials (SSVEP) shows that canonical correlation analysis (CCA) is the most used method to extract features. However, it is known that CCA ...
    • A framework for active contour initialization with application to liver segmentation in MRI 

      Mir-Fuentes, Arnau; Mir Torres, Arnau; Antunes Dos Santos, Felipe; Fernández Fernández, Francisco Javier Upna Orcid; López Molina, Carlos Upna Orcid (Springer, 2022)   Capítulo de libro / Liburuen kapitulua  OpenAccess
      Object segmentation is a prominent low-level task in image processing and computer vision. A technique of special relevance within segmentation algorithms is active contour modeling. An active contour is a closed contour ...
    • Fuzzy clustering to encode contextual information in artistic image classification 

      Fumanal Idocin, Javier Upna Orcid; Takáč, Zdenko; Horanská, Lubomíra; Bustince Sola, Humberto Upna Orcid; Cordón, Óscar (Springer, 2022)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Automatic art analysis comprises of utilizing diverse processing methods to classify and categorize works of art. When working with this kind of pictures, we have to take under consideration different considerations compared ...
    • Fuzzy integrals for edge detection 

      Marco Detchart, Cedric Upna Orcid; Lucca, Giancarlo; Pereira Dimuro, Graçaliz Upna Orcid; Asmus, Tiago Upna Orcid; López Molina, Carlos Upna Orcid; Borges, Eduardo N.; Rincon, J. A.; Julian, Vicente; Bustince Sola, Humberto Upna Orcid (Springer, 2023)   Contribución a congreso / Biltzarrerako ekarpena
      In this work, we compare different families of fuzzy integrals in the context of feature aggregation for edge detection. We analyze the behaviour of the Sugeno and Choquet integral and some of its generalizations. In ...
    • 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. ...
    • Gender stereotyping impact in facial expression recognition 

      Domínguez Catena, Iris Upna Orcid; Paternain Dallo, Daniel Upna Orcid; Galar Idoate, Mikel Upna Orcid (Springer, 2023)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      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 ...
    • 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 ...
    • General grouping functions 

      Santos, Helida; Pereira Dimuro, Graçaliz Upna Orcid; Asmus, Tiago Upna Orcid; Sanz Delgado, José Antonio Upna Orcid; Fernández Fernández, Francisco Javier Upna Orcid; Bustince Sola, Humberto Upna Orcid (Springer, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Some aggregation functions that are not necessarily associative, namely overlap and grouping functions, have called the attention of many researchers in the recent past. This is probably due to the fact that they are a ...

      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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