Listar Comunicaciones y ponencias de congresos - Biltzarrak eta Argitalpenak por tema "Aggregation functions"
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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 ... -
Combinations of affinity functions for different community detection algorithms in social networks
Fumanal Idocin, Javier ; Cordón, Óscar; Minárová, María; Alonso Betanzos, Amparo; Bustince Sola, Humberto (University of Hawaii Press, 2021)
Contribución a congreso / Biltzarrerako ekarpena
Social network analysis is a popular discipline among the social and behavioural sciences, in which the relationships between different social entities are modelled as a network. One of the most popular problems in social ... -
Enhancing LSTM for sequential image classification by modifying data aggregation
Takáč, Zdenko; Ferrero Jaurrieta, Mikel; Horanská, Lubomíra; Krivonakova, Nada; Pereira Dimuro, Graçaliz ; Bustince Sola, Humberto (IEEE, 2021)
Contribución a congreso / Biltzarrerako ekarpena
Recurrent Neural Networks (RNN) model sequential information and are commonly used for the analysis of time series. The most usual operation to fuse information in RNNs is the sum. In this work, we use a RNN extended type, ... -
Gated local adaptive binarization using supervised learning
Fumanal Idocin, Javier ; Uriarte Barragán, Juan; Osa Hernández, Borja de la ; Bardozzo, Francesco; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (CEUR Workshop Proceedings (CEUR-WS.org), 2021)
Contribución a congreso / Biltzarrerako ekarpena
Image thresholding is one of the most popular problems in image processing. However, changes inlightning and contrast in an image can cause trouble for the existing algorithms that use a global threshold for all the image. ... -
Learning fuzzy measures for aggregation in fuzzy rule-based models
Saleh, Emran; Valls, Aida; Moreno, Antonio; Romero-Aroca, Pedro; Torra, Vicenç; Bustince Sola, Humberto (Springer Verlag, 2018)
Contribución a congreso / Biltzarrerako ekarpena
Fuzzy measures are used to express background knowledge of the information sources. In fuzzy rule-based models, the rule confidence gives an important information about the final classes and their relevance. This work ... -
Local properties of strengthened ordered directional and other forms of monotonicity
Sesma Sara, Mikel ; Miguel Turullols, Laura de ; Mesiar, Radko; Fernández Fernández, Francisco Javier ; Bustince Sola, Humberto (Springer, 2019)
Contribución a congreso / Biltzarrerako ekarpena
In this study we discuss some of the recent generalized forms of monotonicity, introduced in the attempt of relaxing the monotonicity condition of aggregation functions. Specifically, we deal with weak, directional, ordered ... -
OWA operators based on admissible permutations
Paternain Dallo, Daniel ; Jin, LeSheng; Mesiar, Radko; Vavríková, Lucia; Bustince Sola, Humberto (IEEE, 2019)
Contribución a congreso / Biltzarrerako ekarpena
In this work we propose a new OWA operator defined on bounded convex posets of a vector-lattice. In order to overcome the non-existence of a total order, which is necessary to obtain a non-decreasing arrangement of the ... -
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 ...
