Now showing items 1-20 of 21

    • Addressing the overlapping data problem in classification using the one-vs-one decomposition strategy 

      Sáez, José Antonio; Galar Idoate, Mikel Upna; Krawczyk, Bartosz (IEEE, 2019)   Artículo / Artikulua  OpenAccess
      Learning good-performing classifiers from data with easily separable classes is not usually a difficult task for most of the algorithms. However, problems affecting classifier performance may arise when samples from different ...
    • Aggregation functions to combine RGB color channels in stereo matching 

      Galar Idoate, Mikel Upna; Jurío Munárriz, Aránzazu Upna; López Molina, Carlos Upna; Sanz Delgado, José Antonio Upna; Paternain Dallo, Daniel Upna; Bustince Sola, Humberto Upna (Optical Society of America, 2013)   Artículo / Artikulua  OpenAccess
      In this paper we present a comparison study between different aggregation functions for the combination of RGB color channels in stereo matching problem. We introduce color information from images to the stereo matching ...
    • Bitcoin and cybersecurity: temporal dissection of blockchain data to unveil changes in entity behavioral patterns 

      Zola, Francesco; Bruse, Jan Lukas; Eguimendia, María; Galar Idoate, Mikel Upna; Orduna Urrutia, Raúl (MDPI, 2019)   Artículo / Artikulua  OpenAccess
      The Bitcoin network not only is vulnerable to cyber-attacks but currently represents the most frequently used cryptocurrency for concealing illicit activities. Typically, Bitcoin activity is monitored by decreasing anonymity ...
    • CFM-BD: a distributed rule induction algorithm for building compact fuzzy models in Big Data classification problems 

      Elkano Ilintxeta, Mikel Upna; Sanz Delgado, José Antonio Upna; Barrenechea Tartas, Edurne Upna; Bustince Sola, Humberto Upna; Galar Idoate, Mikel Upna (IEEE, 2020)   Artículo / Artikulua  OpenAccess
      Interpretability has always been a major concern for fuzzy rule-based classifiers. The usage of human-readable models allows them to explain the reasoning behind their predictions and decisions. However, when it comes to ...
    • d-Choquet integrals: Choquet integrals based on dissimilarities 

      Bustince Sola, Humberto Upna; Mesiar, Radko; Fernández Fernández, Francisco Javier Upna; Galar Idoate, Mikel Upna; Paternain Dallo, Daniel Upna; Altalhi, A. H.; Pereira Dimuro, Graçaliz Upna; Bedregal, Benjamin; Takáč, Zdenko (Elsevier, 2020)   Artículo / Artikulua
      The paper introduces a new class of functions from [0,1]n to [0,n] called d-Choquet integrals. These functions are a generalization of the 'standard' Choquet integral obtained by replacing the difference in the definition ...
    • Do we still need fuzzy classifiers for Small Data in the Era of Big Data? 

      Elkano Ilintxeta, Mikel Upna; Bustince Sola, Humberto Upna; Galar Idoate, Mikel Upna (IEEE, 2019)   Contribución a congreso / Biltzarrerako ekarpena
      The Era of Big Data has forced researchers to explore new distributed solutions for building fuzzy classifiers, which often introduce approximation errors or make strong assumptions to reduce computational and memory ...
    • Enhancing multi-class classification in FARC-HD fuzzy classifier: on the synergy between n-dimensional overlap functions and decomposition strategies 

      Elkano Ilintxeta, Mikel Upna; Galar Idoate, Mikel Upna; Sanz Delgado, José Antonio Upna; Fernández, Alberto; Barrenechea Tartas, Edurne Upna; Herrera, Francisco; Bustince Sola, Humberto Upna (IEEE, 2014)   Artículo / Artikulua  OpenAccess
      There are many real-world classification problems involving multiple classes, e.g., in bioinformatics, computer vision or medicine. These problems are generally more difficult than their binary counterparts. In this scenario, ...
    • An evolutionary underbagging approach to tackle the survival prediction of trauma patients: a case study at the Hospital of Navarre 

      Sanz Delgado, José Antonio Upna; Galar Idoate, Mikel Upna; Bustince Sola, Humberto Upna; Belzunegui Otano, Tomás Upna (IEEE, 2019)   Artículo / Artikulua  OpenAccess
      Survival prediction systems are used among emergency services at hospitals in order to measure their quality objectively. In order to do so, the estimated mortality rate given by a prediction model is compared with the ...
    • Extensions of fuzzy sets in image processing: an overview 

      Pagola Barrio, Miguel Upna; Barrenechea Tartas, Edurne Upna; Bustince Sola, Humberto Upna; Fernández Fernández, Francisco Javier Upna; Galar Idoate, Mikel Upna; Jurío Munárriz, Aránzazu Upna; López Molina, Carlos Upna; Paternain Dallo, Daniel Upna; Sanz Delgado, José Antonio Upna; Couto, P.; Melo Pinto, P. (EUSFLAT, 2011)   Artículo / Artikulua  OpenAccess
      This work presents a valuable review for the interested reader of the recent Works using extensions of fuzzy sets in image processing. The chapter is divided as follows: first we recall the basics of the extensions of fuzzy ...
    • A framework for radial data comparison and its application to fingerprint analysis 

      Marco Detchart, Cedric Upna; Cerrón González, Juan Upna; Miguel Turullols, Laura de Upna; López Molina, Carlos Upna; Bustince Sola, Humberto Upna; Galar Idoate, Mikel Upna (Elsevier, 2016)   Artículo / Artikulua  OpenAccess
      This work tackles the comparison of radial data, and proposes comparison measures that are further applied to fingerprint analysis. First, we study the similarity of scalar and non-scalar radial data, elaborated on previous ...
    • Fuzzy rule-based classification systems for multi-class problems using binary decomposition strategies: on the influence of n-dimensional overlap functions in the fuzzy reasoning method 

      Elkano Ilintxeta, Mikel Upna; Galar Idoate, Mikel Upna; Sanz Delgado, José Antonio Upna; Bustince Sola, Humberto Upna (Elsevier, 2016)   Artículo / Artikulua  OpenAccess
      Multi-class classification problems appear in a broad variety of real-world problems, e.g., medicine, genomics, bioinformatics, or computer vision. In this context, decomposition strategies are useful to increase the ...
    • INFFC: an iterative class noise filter based on the fusion of classifiers with noise sensitivity control 

      Sáez, José Antonio; Galar Idoate, Mikel Upna; Luengo, Julián; Herrera, Francisco (Elsevier, 2015)   Artículo / Artikulua  OpenAccess
      In classification, noise may deteriorate the system performance and increase the complexity of the models built. In order to mitigate its consequences, several approaches have been proposed in the literature. Among them, ...
    • Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system 

      Sanz Delgado, José Antonio Upna; Galar Idoate, Mikel Upna; Jurío Munárriz, Aránzazu Upna; Brugos Larumbe, Antonio Upna; Pagola Barrio, Miguel Upna; Bustince Sola, Humberto Upna (Elsevier, 2013)   Artículo / Artikulua  OpenAccess
      Objective: To develop a classifier that tackles the problem of determining the risk of a patient of suffering from a cardiovascular disease within the next ten years. The system has to provide both a diagnosis and an ...
    • Novel methodologies for improving fuzzy classifiers: dealing with multi-class and big data classification problems 

      Elkano Ilintxeta, Mikel Upna (2018)   Tesis doctoral / Doktoretza tesia  OpenAccess
      Los Sistemas de Clasificación Basados en Reglas Difusas (SCBRDs) son métodos de aprendizaje automático que permiten construir modelos predictivos capaces de predecir la clase a la que pertenecen los datos de entrada. La ...
    • On the influence of admissible orders in IVOVO 

      Uriz Martín, Mikel Xabier; Paternain Dallo, Daniel Upna; Bustince Sola, Humberto Upna; Galar Idoate, Mikel Upna (Springer, 2019)   Contribución a congreso / Biltzarrerako ekarpena
      It is known that when dealing with interval-valued data, there exist problems associated with the non-existence of a total order. In this work we investigate a reformulation of an interval-valued decomposition strategy for ...
    • A study of different families of fusion functions for combining classifiers in the one-vs-one strategy 

      Uriz Martín, Mikel Xabier; Paternain Dallo, Daniel Upna; Jurío Munárriz, Aránzazu Upna; Bustince Sola, Humberto Upna; Galar Idoate, Mikel Upna (Springer, 2018)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      In this work we study the usage of different families of fusion functions for combining classifiers in a multiple classifier system of One-vs-One (OVO) classifiers. OVO is a decomposition strategy used to deal with multi-class ...
    • Super-resolution for Sentinel-2 images 

      Galar Idoate, Mikel Upna; Sesma Redín, Rubén; Ayala, C.; Aranda, C. (International Society for Photogrammetry and Remote Sensing, 2019)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      Obtaining Sentinel-2 imagery of higher spatial resolution than the native bands while ensuring that output imagery preserves the original radiometry has become a key issue since the deployment of Sentinel-2 satellites. ...
    • A survey of fingerprint classification Part I: taxonomies on feature extraction methods and learning models 

      Galar Idoate, Mikel Upna; Derrac, Joaquín; Peralta, Daniel; Triguero, Isaac; Paternain Dallo, Daniel Upna; López Molina, Carlos Upna; García, Salvador; Benítez, José Manuel; Pagola Barrio, Miguel Upna; Barrenechea Tartas, Edurne Upna; Bustince Sola, Humberto Upna; Herrera, Francisco (Elsevier, 2015)   Artículo / Artikulua  OpenAccess
      This paper reviews the fingerprint classification literature looking at the problem from a double perspective. We first deal with feature extraction methods, including the different models considered for singular point ...
    • A survey of fingerprint classification Part II: experimental analysis and ensemble proposal 

      Galar Idoate, Mikel Upna; Derrac, Joaquín; Peralta, Daniel; Triguero, Isaac; Paternain Dallo, Daniel Upna; López Molina, Carlos Upna; García, Salvador; Benítez, José Manuel; Pagola Barrio, Miguel Upna; Barrenechea Tartas, Edurne Upna; Bustince Sola, Humberto Upna; Herrera, Francisco (Elsevier, 2015)   Artículo / Artikulua  OpenAccess
      In the first part of this paper we reviewed the fingerprint classification literature from two different perspectives: the feature extraction and the classifier learning. Aiming at answering the question of which among the ...
    • A survey on fingerprint minutiae-based local matching for verification and identification: taxonomy and experimental evaluation 

      Peralta, Daniel; Galar Idoate, Mikel Upna; Triguero, Isaac; Paternain Dallo, Daniel Upna; García, Salvador; Barrenechea Tartas, Edurne Upna; Benítez, José Manuel; Bustince Sola, Humberto Upna; Herrera, Francisco (Elsevier, 2015)   Artículo / Artikulua  OpenAccess
      Fingerprint recognition has found a reliable application for verification or identification of people in biometrics. Globally, fingerprints can be viewed as valuable traits due to several perceptions observed by the experts; ...