Listar Artículos de revista DEIM - EIMS Aldizkari artikuluak por título
Mostrando ítems 164-183 de 372
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Interval subsethood measures with respect to uncertainty for the interval-valued fuzzy setting
Pekala, Barbara; Bentkowska, Urszula; Sesma Sara, Mikel
; Fernández Fernández, Francisco Javier ; Lafuente López, Julio ; Altalhi, A. H.; Knap, Maksymilian; Bustince Sola, Humberto ; Pintor Borobia, Jesús María (Atlantis Press, 2020)
Artículo / Artikulua 
In this paper, the problem of measuring the degree of subsethood in the interval-valued fuzzy setting is addressed. Taking into account the widths of the intervals, two types of interval subsethood measures are proposed. ... -
Interval-valued aggregation functions based on moderate deviations applied to motor-imagery-based brain computer interface
Fumanal Idocin, Javier ; Takáč, Zdenko; Fernández Fernández, Francisco Javier ; Sanz Delgado, José Antonio; Goyena Baroja, Harkaitz; Lin, Chin-Teng; Wang, Yu-Kai; Bustince Sola, Humberto (IEEE, 2021)
Artículo / Artikulua
In this work we develop moderate deviation functions to measure similarity and dissimilarity among a set of given interval-valued data to construct interval-valued aggregation functions, and we apply these functions in two ... -
The interval-valued Choquet integral based on admissible permutations
Paternain Dallo, Daniel ; Miguel Turullols, Laura de ; Ochoa Lezaun, Gustavo ; Lizasoain Iriso, María Inmaculada ; Mesiar, Radko; Bustince Sola, Humberto (IEEE, 2018)
Artículo / Artikulua
Aggregation or fusion of interval data is not a trivial task, since the necessity of arranging data arises in many aggregation functions, such as OWA operators or the Choquet integral. Some arranging procedures have been ... -
Jordan 3-graded Lie algebras with polynomial identities
Montaner, Fernando; Paniello Alastruey, Irene (Elsevier, 2024)
Artículo / Artikulua
We study Jordan 3-graded Lie algebras satisfying 3-graded polynomial identities. Taking advantage of the Tits-Kantor-Koecher construction, we interpret the PI-condition in terms of their associated Jordan pairs, which ... -
Knowledge extraction from L-fuzzy contexts associated with criteria evolving over time
Alcalde, Cristina; Burusco Juandeaburre, Ana (IOS Press, 2020)
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Information extracted from L-fuzzy contexts is substantially improved by taking into account different points of view, which can roughly be represented by criteria. This work addresses the general study of L-fuzzy contexts ... -
Large-scale unsupervised spatio-temporal semantic analysis of vast regions from satellite images sequences
Echegoyen Arruti, Carlos; Pérez, Aritz; Santafé Rodrigo, Guzmán ; Pérez-Goya, Unai ; Ugarte Martínez, María Dolores (Springer, 2024)
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Temporal sequences of satellite images constitute a highly valuable and abundant resource for analyzing regions of interest. However, the automatic acquisition of knowledge on a large scale is a challenging task due to ... -
The law of O-conditionality for fuzzy implications constructed from overlap and grouping functions
Pereira Dimuro, Graçaliz ; Bedregal, Benjamin ; Fernández Fernández, Francisco Javier ; Sesma Sara, Mikel ; Pintor Borobia, Jesús María ; Bustince Sola, Humberto (Elsevier, 2019)
Artículo / Artikulua
Overlap and grouping functions are special kinds of non necessarily associative aggregation operators proposed for many applications, mainly when the associativity property is not strongly required. The classes of overlap ... -
Learning ordered pooling weights in image classification
Forcén Carvalho, Juan Ignacio; Pagola Barrio, Miguel ; Barrenechea Tartas, Edurne ; Bustince Sola, Humberto (Elsevier, 2020)
Artículo / Artikulua
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 ... -
LeviSense: a platform for the multisensory integration in levitating food and insights into its effect on flavour perception
Chi, Thanh Vi; Marzo Pérez, Asier ; Memoli, Gianluca; Maggioni, Emanuela; Ablart, Damien (Elsevier, 2020)
Artículo / Artikulua
Eating is one of the most multisensory experiences in everyday life. All of our five senses (i.e. taste, smell, vision, hearing and touch) are involved, even if we are not aware of it. However, while multisensory integration ... -
Lipschitz algebras and Lipschitz-Free spaces over unbounded metric spaces
Albiac Alesanco, Fernando José ; Ansorena, José L.; Cúth, Marek; Doucha, Michal (Oxford University Press, 2021)
Artículo / Artikulua
We investigate a way to turn an arbitrary (usually, unbounded) metric space M into a bounded metric space B in such a way that the corresponding Lipschitz-free spaces F(M) and F(B) are isomorphic. The construction we provide ... -
Lipschitz free p-spaces for 0 < p < 1
Albiac Alesanco, Fernando José ; Ansorena, José L.; Cúth, Marek; Doucha, Michal (SpringerHebrew University Magnes Press, 2020)
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This paper initiates the study of the structure of a new class of p-Banach spaces, 0 <p < 1, namely the Lipschitz free p-spaces (alternatively called Arens—Eells p-spaces) Fp(M) over p-metric spaces. We systematically ... -
Lipschitz free spaces isomorphic to their infinite sums and geometric applications
Albiac Alesanco, Fernando José ; Ansorena, José L.; Cúth, Marek; Doucha, Michal (American Mathematical Society, 2021)
Artículo / Artikulua
We find general conditions under which Lipschitz-free spaces over metric spaces are isomorphic to their infinite direct _1-sum and exhibit several applications. As examples of such applications we have that Lipschitz-free ... -
Locally adaptive change-point detection (LACPD) with applications to environmental changes
Moradi, Mohammad Mehdi ; Montesino San Martín, Manuel ; Ugarte Martínez, María Dolores ; Militino, Ana F. (Springer, 2021)
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We propose an adaptive-sliding-window approach (LACPD) for the problem of change-point detection in a set of time-ordered observations. The proposed method is combined with sub-sampling techniques to compensate for the ... -
Logistic regression versus XGBoost for detecting burned areas using satellite images
Militino, Ana F. ; Goyena Baroja, Harkaitz; Pérez-Goya, Unai ; Ugarte Martínez, María Dolores (Springer, 2024)
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Classical statistical methods prove advantageous for small datasets, whereas machine learning algorithms can excel with larger datasets. Our paper challenges this conventional wisdom by addressing a highly significant ... -
Magnetic confinement of a neutral atom in a double-wire waveguide: a nonlinear dynamics approach
Salas, José Pablo; Iñarrea, Manuel; Lanchares, Víctor; Palacián Subiela, Jesús Francisco ; Yanguas Sayas, Patricia (Elsevier, 2021)
Artículo / Artikulua
In this paper we focus on the classical dynamics of a neutral atom trapped in a doublewire waveguide in the presence of two uniform bias fields. Because the trapping region takes place in a plane perpendicular to the ... -
Managing transportation externalities in the Pyrenees region: measuring the willingness-to-pay for road freight noise reduction using an experimental auction mechanism
Denant-Boemont, Laurent; Faulín Fajardo, Javier ; Hammiche, Sabrina; Serrano Hernández, Adrián (Elsevier, 2018)
Artículo / Artikulua
The estimation of the noise impact caused by road freight transportation is critical to have acknowledgment of the ambiance pollution caused by road traffic crossing geographical areas containing important natural resources. ... -
A mathematical approach to law and deal modelling: legislation and agreements
Benito Ostolaza, Juan Miguel ; Campión Arrastia, María Jesús ; Estevan Muguerza, Asier (MDPI, 2021)
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Social norms are a set of rules to be followed by the people of a community in order to have a better coexistence, to which the behaviors, tasks, and activities of the human being must be adjusted. The set or system of ... -
Mathematical content on STEM activities
Lasa Oyarbide, Aitzol; Abaurrea Larrayoz, Jaione ; Iribas Pardo, Haritz (Indonesian Mathematical SocietySriwijaya University (Indonesia), 2020)
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In this paper, a number of STEM educational proposals are systematically analyzed from the lens of mathematics education. An extensive innovation project was implemented during the 2019/2020 academic year in a pilot study ... -
MEANSP: How many channels are needed to predict the performance of a SMR-Based BCI?
Jorajuría, Tania ; Nikulin, Vadim V.; Kapralov, Nikolai; Gómez Fernández, Marisol ; Vidaurre, Carmen (IEEE, 2023)
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Predicting whether a particular individual would reach an adequate control of a Brain-Computer Interface (BCI) has many practical advantages. On the one hand, participants with low predicted performance could be trained ... -
Measures of embedding for interval-valued fuzzy sets
Bouchet, Agustina; Sesma Sara, Mikel ; Ochoa Lezaun, Gustavo ; Bustince Sola, Humberto ; Montes, Susana; Díaz, Irene (Elsevier, 2023)
Artículo / Artikulua
Interval-valued fuzzy sets are a generalization of classical fuzzy sets where the membership values are intervals. The epistemic interpretation of interval-valued fuzzy sets assumes that there is one real-valued membership ...
