Listar por autor UPNA "Paternain Dallo, Daniel"
Mostrando ítems 21-31 de 31
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Some bipolar-preferences-involved aggregation methods for a sequence of OWA weight vectors
Jin, LeSheng; Yager, Ronald R.; Chen, Zhen-Song; Špirková, Jana; Paternain Dallo, Daniel
; Mesiar, Radko; Bustince Sola, Humberto (Springer, 2021)
Artículo / Artikulua 
The ordered weighted averaging (OWA) operator and its associated weight vectors have been both theoretically and practically verified to be powerful and effective in modeling the optimism/pessimism preference of decision ... -
Some characterizations of lattice OWA operators
Miguel Turullols, Laura de ; Paternain Dallo, Daniel ; Lizasoain Iriso, María Inmaculada ; Ochoa Lezaun, Gustavo ; Bustince Sola, Humberto (World Scientific Publishing Company, 2017)
Artículo / Artikulua
Ordered Weighted Averaging (OWA) operators are a family of aggregation which fusion data. If the data are real numbers, then OWA operators can be characterized either as an special kind of Choquet integral or simply as an ... -
Some preference involved aggregation models for basic uncertain information using uncertainty transformation
Yang, RouJian; Jin, LeSheng; Paternain Dallo, Daniel ; Yager, Ronald R.; Bustince Sola, Humberto (IOS Press, 2020)
Artículo / Artikulua
In decision making, very often the data collected are with different extents of uncertainty. The recently introduced concept, Basic Uncertain Information (BUI), serves as one ideal information representation to well model ... -
A study of different families of fusion functions for combining classifiers in the one-vs-one strategy
Uriz Martín, Mikel Xabier ; Paternain Dallo, Daniel ; Jurío Munárriz, Aránzazu ; Bustince Sola, Humberto ; Galar Idoate, Mikel (Springer, 2018)
Contribución a congreso / Biltzarrerako ekarpena
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 ... -
A study of OWA operators learned in convolutional neural networks
Domínguez Catena, Iris ; Paternain Dallo, Daniel ; Galar Idoate, Mikel (MDPI, 2021)
Artículo / Artikulua
Ordered Weighted Averaging (OWA) operators have been integrated in Convolutional Neural Networks (CNNs) for image classification through the OWA layer. This layer lets the CNN integrate global information about the image ... -
A supervised fuzzy measure learning algorithm for combining classifiers
Uriz Martín, Mikel Xabier; Paternain Dallo, Daniel ; Bustince Sola, Humberto ; Galar Idoate, Mikel (Elsevier, 2023)
Artículo / Artikulua
Fuzzy measure-based aggregations allow taking interactions among coalitions of the input sources into account. Their main drawback when applying them in real-world problems, such as combining classifier ensembles, is how ... -
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; ... -
Unsupervised fuzzy measure learning for classifier ensembles from coalitions performance
Uriz Martín, Mikel Xabier ; Paternain Dallo, Daniel ; Domínguez Catena, Iris ; Bustince Sola, Humberto ; Galar Idoate, Mikel (IEEE, 2020)
Artículo / Artikulua
In Machine Learning an ensemble refers to the combination of several classifiers with the objective of improving the performance of every one of its counterparts. To design an ensemble two main aspects must be considered: ... -
Using the Choquet integral in the fuzzy reasoning method of fuzzy rule-based classification systems
Barrenechea Tartas, Edurne ; Bustince Sola, Humberto ; Fernández Fernández, Francisco Javier ; Paternain Dallo, Daniel ; Sanz Delgado, José Antonio (MDPI, 2013)
Artículo / Artikulua
In this paper we present a new fuzzy reasoning method in which the Choquet integral is used as aggregation function. In this manner, we can take into account the interaction among the rules of the system. For this reason, ...
