Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Iñigo Mendialdua"'
Publikováno v:
Sensors, Vol 23, Iss 1, p 327 (2022)
Random Sample Consensus, most commonly abbreviated as RANSAC, is a robust estimation method for the parameters of a model contaminated by a sizable percentage of outliers. In its simplest form, the process starts with a sampling of the minimum data n
Externí odkaz:
https://doaj.org/article/c78eb82c500f468884f4c39d186028cb
Publikováno v:
Applied Sciences, Vol 12, Iss 8, p 3725 (2022)
Deep neural network models have been developed in different fields, bringing many advances in several tasks. However, they have also started to be incorporated into tasks with critical risks. That worries researchers who have been interested in study
Externí odkaz:
https://doaj.org/article/fce5c9fc822f43dcb36716867f4e5a88
Publikováno v:
PLoS ONE, Vol 13, Iss 2, p e0191417 (2018)
Music genre classification is a challenging research concept, for which open questions remain regarding classification approach, music piece representation, distances between/within genres, and so on. In this paper an investigation on the classificat
Externí odkaz:
https://doaj.org/article/190966df9d594432bd59218d0301bbc8
Publikováno v:
International Journal of Machine Learning and Cybernetics. 12:1721-1735
Class binarization techniques are used to decompose multi-class problems into several easier-to-solve binary sub-problems. One of the most popular binarization techniques is One versus One (OVO), which creates a sub-problem for each pair of classes o
Autor:
José María Martínez-Otzeta, Iñigo Mendialdua, Itsaso Rodríguez-Moreno, Igor Rodriguez, Basilio Sierra
Publikováno v:
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods.
Autor:
Iñigo Mendialdua, José María Martínez-Otzeta, Aitzol Astigarraga, Igor Rodriguez, Elena Lazkano
Publikováno v:
Biologically Inspired Cognitive Architectures. 25:17-25
This article is an attempt to characterize the cognitive skills involved in the development of socially interacting robots. We argue that performative arts, such as oral improvised poetry, can serve as a useful testbed for the development and evaluat
Publikováno v:
III. Ikergazte. Nazioarteko ikerketa euskaraz. Kongresuko artikulu bilduma. Ingeniaritza eta Arkitektura.
Publikováno v:
Neurocomputing. 171:1576-1590
Supervised classification approaches try to classify correctly the new unlabelled examples based on a set of well-labelled samples. Nevertheless, some classification methods were formulated for binary classification problems and has difficulties for
Publikováno v:
AI 2018: Advances in Artificial Intelligence ISBN: 9783030039905
Australasian Conference on Artificial Intelligence
Australasian Conference on Artificial Intelligence
In this article the use of a matrix based representation of pieces is tested for the classification of musical pieces of some well known classical composers. The pieces in two corpora have been represented in two ways: matrices of interval pair proba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::812087e364810385212dbf60da5e9860
https://doi.org/10.1007/978-3-030-03991-2_48
https://doi.org/10.1007/978-3-030-03991-2_48
Autor:
T. Ruiz-Vazquez, José María Martínez-Otzeta, Igor Rodriguez-Rodriguez, Basilio Sierra, Iñigo Mendialdua
Publikováno v:
Knowledge-Based Systems. 85:298-306
Class binarization strategies decompose the original multi-class problem into several binary sub-problems. One versus One (OVO) is one of the most popular class binarization techniques, which considers every pair of classes as a different sub-problem