Using the Choquet Integral in the Fuzzy Reasoning Method of Fuzzy Rule-Based Classification Systems

Autor: Daniel Paternain, Edurne Barrenechea, Javier Fernandez, Humberto Bustince, José Antonio Sanz

Publikováno v: Axioms, Vol 2, Iss 2, Pp 208-223 (2013)

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, we consider several fuzzy me

Externí odkaz: https://doaj.org/article/4d4c2c91f4c64b1db4bb796b5276ab6e

CFM-BD: A Distributed Rule Induction Algorithm for Building Compact Fuzzy Models in Big Data Classification Problems

Autor: Edurne Barrenechea, Mikel Galar, Mikel Elkano, Humberto Bustince, José Antonio Sanz

Publikováno v: Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname
Academica-e: Repositorio Institucional de la Universidad Pública de Navarra
Universidad Pública de Navarra

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 Big Data classification probl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6388e71f61c87b254863582bce1bad9a
https://doi.org/10.1109/tfuzz.2019.2900856

Learning ordered pooling weights in image classification

Autor: Edurne Barrenechea, Humberto Bustince, Juan I. Forcen, Miguel Pagola

Publikováno v: Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
Universitat Jaume I

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 for a given region (local

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::923ac35c2e17411bcbb6e3e4598940f2
http://arxiv.org/abs/2007.01243

Initiative to increment the number of women in STEM degrees: women, science and technology chair of the Public University of Navarre

Autor: Idoia San Martín, Alicia Martinez, Edurne Barrenechea, Aranzazu Jurio, Marisol Gómez, Gurutze Perez, Leyre Catalan, P. Aranguren, Silvia Diaz

Publikováno v: Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname
Academica-e: Repositorio Institucional de la Universidad Pública de Navarra
Universidad Pública de Navarra
EDUCON

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 of reversing this trend. The

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30bd2ea2e7f4766e3ae7bc82f9a26f2a
https://hdl.handle.net/2454/39378

NMC: nearest matrix classification – A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem

Autor: Alberto Fernández, Mikel Galar, Francisco Herrera, Humberto Bustince, Edurne Barrenechea

Publikováno v: Information Fusion. 36:26-51

The One-vs-One strategy is among the most used techniques to deal with multi-class problems in Machine Learning. This way, any binary classifier can be used to address the original problem, since one classifier is learned for each possible pair of cl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::adde8754e233d5ea69fb17b75c29bafd
https://doi.org/10.1016/j.inffus.2016.11.004