Browsing by Author "Herrera, Francisco"
Now showing items 1-17 of 17
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Comments on "Interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: towards a wider view on their relationship" [2]
Mendel, Jerry M.; Hagras, Hani; Bustince Sola, Humberto
; Herrera, Francisco (IEEE, 2016)
Otros / Bestelakoak 
This letter makes some observations about “Interval type-2 fuzzy sets are generalization of interval-valued fuzzy sets: Towards a wide view on their relationship,” IEEE Trans. Fuzzy Systems that further support the ... -
A compact evolutionary interval-valued fuzzy rule-based classification system for the modeling and prediction of real-world financial applications with imbalanced data
Sanz Delgado, José Antonio ; Bernardo, Darío; Herrera, Francisco; Bustince Sola, Humberto ; Hagras, Hani (IEEE, 2014)
Artículo / Artikulua
The current financial crisis has stressed the need of obtaining more accurate prediction models in order to decrease the risk when investing money on economic opportunities. In addition, the transparency of the process ... -
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, ... -
A first study on the use of interval-valued fuzzy sets with genetic tuning for classification with imbalanced data sets
Sanz Delgado, José Antonio ; Fernández, Alberto; Bustince Sola, Humberto ; Herrera, Francisco (Springer, 2009)
Contribución a congreso / Biltzarrerako ekarpena
Classification with imbalanced data-sets is one of the recent challenging problems in Data Mining. In this framework, the class dis- tribution is not uniform and the separability between the classes is often difficult. ... -
Generalizing max pooling via (a, b)-grouping functions for convolutional neural networks
Rodríguez Martínez, Iosu ; Asmus, Tiago ; Pereira Dimuro, Graçaliz ; Herrera, Francisco; Takáč, Zdenko; Bustince Sola, Humberto (Elsevier, 2023)
Artículo / Artikulua
Due to their high adaptability to varied settings and effective optimization algorithm, Convolutional Neural Networks (CNNs) have set the state-of-the-art on image processing jobs for the previous decade. CNNs work in a ... -
A genetic tuning to improve the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets: degree of ignorance and lateral position
Sanz Delgado, José Antonio ; Fernández, Alberto; Bustince Sola, Humberto ; Herrera, Francisco (Elsevier, 2011)
Artículo / Artikulua
Fuzzy Rule-Based Systems are appropriate tools to deal with classification problems due to their good properties. However, they can suffer a lack of system accuracy as a result of the uncertainty inherent in the definition ... -
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 ... -
IIVFDT: ignorance functions based interval-valued fuzzy decision tree with genetic tuning
Sanz Delgado, José Antonio ; Fernández, Alberto; Bustince Sola, Humberto ; Herrera, Francisco (World Scientific Publishing Company, 2012)
Artículo / Artikulua
The choice of membership functions plays an essential role in the success of fuzzy systems. This is a complex problem due to the possible lack of knowledge when assigning punctual values as membership degrees. To face this ... -
Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning
Sanz Delgado, José Antonio ; Fernández, Alberto; Bustince Sola, Humberto ; Herrera, Francisco (Elsevier, 2010)
Artículo / Artikulua
Among the computational intelligence techniques employed to solve classification problems, Fuzzy Rule-Based Classification Systems (FRBCSs) are a popular tool because of their interpretable models based on linguistic ... -
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, ... -
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 ... -
IVTURS: A linguistic fuzzy rule-based classification system based on a new interval-valued fuzzy reasoning method with tuning and rule selection
Sanz Delgado, José Antonio ; Fernández, Alberto; Bustince Sola, Humberto ; Herrera, Francisco (IEEE, 2013)
Artículo / Artikulua
Interval-valued fuzzy sets have been shown to be a useful tool for dealing with the ignorance related to the definition of the linguistic labels. Specifically, they have been successfully applied to solve classification ... -
Reemplazo de la función de pooling de redes neuronales convolucionales por combinaciones lineales de funciones crecientes
Rodríguez Martínez, Iosu ; Lafuente López, Julio ; Sesma Sara, Mikel ; Herrera, Francisco; Ursúa Medrano, Pablo; Bustince Sola, Humberto (Universidad de Málaga, 2021)
Contribución a congreso / Biltzarrerako ekarpena
Las redes convolucionales llevan a cabo un proceso automatico de extracción y fusión de características mediante el cual obtienen la información más relevante de una imagen dada. El proceso de submuestreo mediante el cual ... -
Replacing pooling functions in convolutional neural networks by linear combinations of increasing functions
Rodríguez Martínez, Iosu ; Lafuente López, Julio ; Santiago, Regivan; Pereira Dimuro, Graçaliz ; Herrera, Francisco; Bustince Sola, Humberto (Elsevier, 2022)
Artículo / Artikulua
Traditionally, Convolutional Neural Networks make use of the maximum or arithmetic mean in order to reduce the features extracted by convolutional layers in a downsampling process known as pooling. However, there is no ... -
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; ...
