Listar Comunicaciones y ponencias de congresos ISC - ISC biltzarretako komunikazioak eta txostenak por autor UPNA "Bustince Sola, Humberto"
Mostrando ítems 1-12 de 12
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Aggregation functions based on the Choquet integral applied to image resizing
Bueno, Jéssica C. S.; Dias, Camila A.; Pereira Dimuro, Graçaliz
; Santos, Helida; Bustince Sola, Humberto (Atlantis Press, 2019)
Contribución a congreso / Biltzarrerako ekarpena 
The rising volume of data and its high complexity has brought the need of developing increasingly efficient knowledge extraction techniques, which demands efficiency both in computational cost and in accuracy. Most of ... -
Description and properties of curve-based monotone functions
Sesma Sara, Mikel ; Miguel Turullols, Laura de ; Roldán López de Hierro, Antonio Francisco; Špirková, Jana; Mesiar, Radko; Bustince Sola, Humberto (Springer, 2019)
Contribución a congreso / Biltzarrerako ekarpena
Curve-based monotonicity is one of the lately introduced relaxations of monotonicity. As directional monotonicity regards monotonicity along fixed rays, which are given by real vectors, curve-based monotonicity studies the ... -
Directions of directional, ordered directional and strengthened ordered directional increasingness of linear and ordered linear fusion operators
Sesma Sara, Mikel ; Marco Detchart, Cedric ; Lafuente López, Julio ; Roldán López de Hierro, Antonio Francisco; Mesiar, Radko; Bustince Sola, Humberto (IEEE, 2019)
Contribución a congreso / Biltzarrerako ekarpena
In this work we discuss the forms of monotonicity that have been recently introduced to relax the monotonicity condition in the definition of aggregation functions. We focus on directional, ordered directional and strengthened ... -
Do we still need fuzzy classifiers for small data in the era of big data?
Elkano Ilintxeta, Mikel ; Bustince Sola, Humberto ; Galar Idoate, Mikel (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 ... -
An empirical study on supervised and unsupervised fuzzy measure construction methods in highly imbalanced classification
Uriz Martín, Mikel Xabier ; Paternain Dallo, Daniel ; Bustince Sola, Humberto ; Galar Idoate, Mikel (IEEE, 2020)
Contribución a congreso / Biltzarrerako ekarpena
The design of an ensemble of classifiers involves the definition of an aggregation mechanism that produces a single response obtained from the information provided by the classifiers. A specific aggregation methodology ... -
Enhancing the efficiency of the interval-valued fuzzy rule-based classifier with tuning and rule selection
Sanz Delgado, José Antonio ; Asmus, Tiago ; Osa Hernández, Borja de la ; Bustince Sola, Humberto (Springer, 2020)
Contribución a congreso / Biltzarrerako ekarpena
Interval-Valued fuzzy rule-based classifier with TUning and Rule Selection, IVTURS, is a state-of-the-art fuzzy classifier. One of the key point of this method is the usage of interval-valued restricted equivalence functions ... -
General grouping functions
Santos, Helida; Pereira Dimuro, Graçaliz ; Asmus, Tiago ; Sanz Delgado, José Antonio ; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (Springer, 2020)
Contribución a congreso / Biltzarrerako ekarpena
Some aggregation functions that are not necessarily associative, namely overlap and grouping functions, have called the attention of many researchers in the recent past. This is probably due to the fact that they are a ... -
Image feature extraction using OD-monotone functions
Marco Detchart, Cedric ; López Molina, Carlos ; Fernández Fernández, Francisco Javier ; Pagola Barrio, Miguel ; Bustince Sola, Humberto (Springer, 2018)
Contribución a congreso / Biltzarrerako ekarpena
Edge detection is a basic technique used as a preliminary step for, e.g., object extraction and recognition in image processing. Many of the methods for edge detection can be fit in the breakdown structure by Bezdek, ... -
On the influence of admissible orders in IVOVO
Uriz Martín, Mikel Xabier ; Paternain Dallo, Daniel ; Bustince Sola, Humberto ; Galar Idoate, Mikel (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 ... -
On the influence of interval normalization in IVOVO fuzzy multi-class classifier
Uriz Martín, Mikel Xabier ; Paternain Dallo, Daniel ; Bustince Sola, Humberto ; Galar Idoate, Mikel (Springer, 2019)
Contribución a congreso / Biltzarrerako ekarpena
IVOVO stands for Inverval-Valued One-Vs-One and is the combination of IVTURS fuzzy classifier and the One-Vs-One strategy. This method is designed to improve the performance of IVTURS in multi-class problems, by dividing ... -
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 ... -
T-overlap functions: a generalization of bivariate overlap functions by t-norms
Zapata, Hugo; Pereira Dimuro, Graçaliz ; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (Springer, 2018)
Contribución a congreso / Biltzarrerako ekarpena
This paper introduces a generalization of overlap functions by extending one of the boundary conditions of its definition. More specifically, instead of requiring that 'the considered function is equal to zero if and only ...
