Listar Artículos de revista DAC - AKS Aldizkari artikuluak por autor UPNA "Galar Idoate, Mikel"
Mostrando ítems 1-11 de 11
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Aggregation functions to combine RGB color channels in stereo matching
Galar Idoate, Mikel
; Jurío Munárriz, Aránzazu ; López Molina, Carlos ; Sanz Delgado, José Antonio ; Paternain Dallo, Daniel ; Bustince Sola, Humberto (Optical Society of America, 2013)
Artículo / Artikulua 
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 ... -
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, ... -
EUSC: a clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification
Le, Hoang Lam; Landa-Silva, Darío; Galar Idoate, Mikel ; García, Salvador; Triguero, Isaac (Elsevier, 2021)
Artículo / Artikulua
Learning from imbalanced datasets is highly demanded in real-world applications and a challenge for standard classifiers that tend to be biased towards the classes with the majority of the examples. Undersampling approaches ... -
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 ... -
A framework for radial data comparison and its application to fingerprint analysis
Marco Detchart, Cedric ; Cerrón González, Juan ; Miguel Turullols, Laura de ; López Molina, Carlos ; Bustince Sola, Humberto ; Galar Idoate, Mikel (Elsevier, 2016)
Artículo / Artikulua
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 ; Galar Idoate, Mikel ; Sanz Delgado, José Antonio ; Bustince Sola, Humberto (Elsevier, 2016)
Artículo / Artikulua
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 ; Luengo, Julián; Herrera, Francisco (Elsevier, 2015)
Artículo / Artikulua
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 ; Galar Idoate, Mikel ; Jurío Munárriz, Aránzazu ; Brugos Larumbe, Antonio ; Pagola Barrio, Miguel ; Bustince Sola, Humberto (Elsevier, 2013)
Artículo / Artikulua
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 ... -
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 ... -
A survey of fingerprint classification Part II: experimental analysis and ensemble proposal
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
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 ; Triguero, Isaac; Paternain Dallo, Daniel ; García, Salvador; Barrenechea Tartas, Edurne ; Benítez, José Manuel; Bustince Sola, Humberto ; Herrera, Francisco (Elsevier, 2015)
Artículo / Artikulua
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; ...
