Browsing by UPNA Author "Barrenechea Tartas, Edurne"
Now showing items 1-20 of 25
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CFM-BD: a distributed rule induction algorithm for building compact fuzzy models in Big Data classification problems
Elkano Ilintxeta, Mikel
; Sanz Delgado, José Antonio ; Barrenechea Tartas, Edurne ; Bustince Sola, Humberto ; Galar Idoate, Mikel (IEEE, 2020)
Artículo / Artikulua 
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 ... -
Co-occurrence of deep convolutional features for image search
Forcén Carvalho, Juan Ignacio; Pagola Barrio, Miguel ; Barrenechea Tartas, Edurne ; Bustince Sola, Humberto (Elsevier, 2020)
Artículo / Artikulua
Image search can be tackled using deep features from pre-trained Convolutional Neural Networks (CNN). The feature map from the last convolutional layer of a CNN encodes descriptive information from which a discriminative ... -
Cuantificar los hechos represivos: explicación y retos de la base de datos del fondo documental de la memoria histórica en Navarra
Majuelo Gil, Emilio ; Mendiola Gonzalo, Fernando ; Garmendia Amutxastegi, Gotzon; Piérola Narvarte, Gemma ; García Funes, Juan Carlos ; Yániz Berrio, Edurne ; Pérez Ibarrola, Nerea ; Barrenechea Tartas, Edurne ; Rodríguez Martínez, Iosu ; Sesma Redín, Rubén ; Bustince Sola, Humberto (2019)
Documento de trabajo / Lan gaiak
En este documento se presentan los fundamentos historiográficos y metodológicos de la base de datos del Fondo Documental de la Memoria Histórica en Navarra, desarrollada en la Universidad Pública de Navarra como consecuencia ... -
Enhancing multi-class classification in FARC-HD fuzzy classifier: on the synergy between n-dimensional overlap functions and decomposition strategies
Elkano Ilintxeta, Mikel ; Galar Idoate, Mikel ; Sanz Delgado, José Antonio ; Fernández, Alberto; Barrenechea Tartas, Edurne ; Herrera, Francisco; Bustince Sola, Humberto (IEEE, 2014)
Artículo / Artikulua
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, ... -
Extensions of fuzzy sets in image processing: an overview
Pagola Barrio, Miguel ; Barrenechea Tartas, Edurne ; Bustince Sola, Humberto ; Fernández Fernández, Francisco Javier ; Galar Idoate, Mikel ; Jurío Munárriz, Aránzazu ; López Molina, Carlos ; Paternain Dallo, Daniel ; Sanz Delgado, José Antonio ; Couto, P.; Melo Pinto, P. (EUSFLAT, 2011)
Artículo / Artikulua
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 ... -
Gertakari errepresiboak kuantifikatzea: Nafarroako Memoria Historikoaren Dokumentu Funtsaren azalpena eta erronkak
Majuelo Gil, Emilio ; Mendiola Gonzalo, Fernando ; Garmendia Amutxastegi, Gotzon; Piérola Narvarte, Gemma ; García Funes, Juan Carlos ; Yániz Berrio, Edurne ; Pérez Ibarrola, Nerea ; Barrenechea Tartas, Edurne ; Rodríguez Martínez, Iosu ; Sesma Redín, Rubén ; Bustince Sola, Humberto (2019)
Documento de trabajo / Lan gaiak
En este documento se presentan los fundamentos historiográficos y metodológicos de la base de datos del Fondo Documental de la Memoria Histórica en Navarra, desarrollada en la Universidad Pública ... -
A historical account of types of fuzzy sets and their relationships
Bustince Sola, Humberto ; Barrenechea Tartas, Edurne ; Pagola Barrio, Miguel ; Fernández Fernández, Francisco Javier ; Xu, Zeshui; Bedregal, Benjamin ; Montero, Javier; Hagras, Hani; Herrera, Francisco; Baets, Bernard de (IEEE, 2016)
Artículo / Artikulua
In this work we review the definition and basic properties of the different types of fuzzy sets that have appeared up to now in the literature. We also analyze the relationships between them and enumerate some of the ... -
Initiative to increment the number of women in STEM degrees: women, science and technology chair of the Public University of Navarre
Aranguren Garacochea, Patricia ; San Martín Biurrun, Idoia ; Catalán Ros, Leyre ; Martínez Ramírez, Alicia ; Jurío Munárriz, Aránzazu ; Díaz Lucas, Silvia ; Pérez Artieda, Miren Gurutze ; Gómez Fernández, Marisol ; Barrenechea Tartas, Edurne (IEEE, 2020)
Contribución a congreso / Biltzarrerako ekarpena
The Public University of Navarre joined with Navarre Government has created the Women, Science and Technology Chair. This chair arises due to the plummeting tendency of the percentage of women in STEM degrees with the aim ... -
Interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: towards a wider view on their relationship
Bustince Sola, Humberto ; Fernández Fernández, Francisco Javier ; Hagras, Hani; Herrera, Francisco; Pagola Barrio, Miguel ; Barrenechea Tartas, Edurne (IEEE, 2015)
Artículo / Artikulua
In this paper, we will present a wider view on the relationship between interval-valued fuzzy sets and interval type- 2 fuzzy sets where we will show that interval-valued fuzzy sets are a particular case of the interval ... -
Learning ordered pooling weights in image classification
Forcén Carvalho, Juan Ignacio; Pagola Barrio, Miguel ; Barrenechea Tartas, Edurne ; Bustince Sola, Humberto (Elsevier, 2020)
Artículo / Artikulua
Spatial pooling is an important step in computer vision systems like Convolutional Neural Networks or the Bag-of-Words method. The spatial pooling purpose is to combine neighbouring descriptors to obtain a single descriptor ... -
Moderate deviation and restricted equivalence functions for measuring similarity between data
Altalhi, A. H.; Forcén Carvalho, Juan Ignacio; Pagola Barrio, Miguel ; Barrenechea Tartas, Edurne ; Bustince Sola, Humberto ; Takáč, Zdenko (Elsevier, 2019)
Artículo / Artikulua
In this work we study the relation between moderate deviation functions, restricted dissimilarity functions and restricted equivalence functions. We use moderate deviation functions in order to measure the similarity or ... -
Novel methodologies for improving fuzzy classifiers: dealing with multi-class and Big Data classification problems
Elkano Ilintxeta, Mikel (2018)
Tesis doctoral / Doktoretza tesia
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 ... -
Nuevos métodos para la combinación de características en procesamiento de imágenes
(2021) Tesis doctoral / Doktoretza tesia
En esta memoria estudiamos diferentes problemas abiertos entorno a la agregación de información y presentamos el estudio de nuevas técnicas de agregación de características de imágenes para mejorar el rendimiento en los ... -
Optical images-based edge detection in Synthetic Aperture Radar images
Silva Junior, Gilberto P.; Frery, Alejandro C.; Bustince Sola, Humberto ; Barrenechea Tartas, Edurne ; Marco Detchart, Cedric (Elsevier, 2015)
Artículo / Artikulua
We address the issue of adapting optical images-based edge detection techniques for use in Polarimetric Synthetic Aperture Radar (PolSAR) imagery. We modify the gravitational edge detection technique (inspired by the Law ... -
Ordered directional monotonicity in the construction of edge detectors
Marco Detchart, Cedric ; Bustince Sola, Humberto ; Fernández Fernández, Francisco Javier ; Mesiar, Radko; Lafuente López, Julio ; Barrenechea Tartas, Edurne ; Pintor Borobia, Jesús María (Elsevier, 2021)
Artículo / Artikulua
In this paper we provide a specific construction method of ordered directionally monotone functions. We show that the functions obtained with this construction method can be used to build edge detectors for grayscale images. ... -
Paired structures in knowledge representation
Montero, Javier; Bustince Sola, Humberto ; Pagola Barrio, Miguel ; Fernández Fernández, Francisco Javier ; Barrenechea Tartas, Edurne (Elsevier, 2016)
Artículo / Artikulua
In this position paper we propose a consistent and unifying view to all those basic knowledge representation models that are based on the existence of two somehow opposite fuzzy concepts. A number of these basic models can ... -
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 ; Rueda, Silvia; Navarro, Ángeles G.; Martínez, Paloma; Masiá, Belén; Navarro, Elena; Fornés, Alicia (IEEE, 2022)
Contribución a congreso / Biltzarrerako ekarpena
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 ... -
Quantifying repressive acts: explanation and challenges of the documentary archive of historical memory in Navarre
Majuelo Gil, Emilio ; Mendiola Gonzalo, Fernando ; Garmendia Amutxastegi, Gotzon; Piérola Narvarte, Gemma ; García Funes, Juan Carlos ; Yániz Berrio, Edurne ; Pérez Ibarrola, Nerea ; Barrenechea Tartas, Edurne ; Rodríguez Martínez, Iosu ; Sesma Redín, Rubén ; Bustince Sola, Humberto (2019)
Documento de trabajo / Lan gaiak
This document presents the historiographical and methodological foundations of the database of the Documentary Archive of Historical Memory in Navarre, which was developed in the Public University of Navarre following a ... -
Strengthened ordered directional and other generalizations of monotonicity for aggregation functions
Sesma Sara, Mikel ; Miguel Turullols, Laura de ; Lafuente López, Julio ; Barrenechea Tartas, Edurne ; Mesiar, Radko; Bustince Sola, Humberto (Springer, 2018)
Contribución a congreso / Biltzarrerako ekarpena
A tendency in the theory of aggregation functions is the generalization of the monotonicity condition. In this work, we examine the latest developments in terms of different generalizations. In particular, we discuss ... -
A survey of fingerprint classification Part I: taxonomies on feature extraction methods and learning models
Galar Idoate, Mikel ; Derrac, Joaquín; Peralta, Daniel; Triguero, Isaac; Paternain Dallo, Daniel ; López Molina, Carlos ; García, Salvador; Benítez, José Manuel; Pagola Barrio, Miguel ; Barrenechea Tartas, Edurne ; Bustince Sola, Humberto ; Herrera, Francisco (Elsevier, 2015)
Artículo / Artikulua
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 ...
