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Quantifying external information in social network analysis: an application to comparative mythology
(IEEE, 2023)
Artículo / Artikulua,
Social network analysis is a popular tool to understand the relationships between interacting agents by studying the structural properties of their connections. However, this kind of analysis can miss some of the domain-specific ...
Generalizing max pooling via (a, b)-grouping functions for convolutional neural networks
(Elsevier, 2023)
Artículo / Artikulua,
Due to their high adaptability to varied settings and effective optimization algorithm, Convolutional Neural
Networks (CNNs) have set the state-of-the-art on image processing jobs for the previous decade. CNNs work in
a ...
Degree of totalness: how to choose the best admissible permutation for vector fuzzy integration
(Elsevier, 2023)
Artículo / Artikulua,
The use of aggregation operators that require ordering of the data brings a problem when the structures to be aggregated are multi-valued, since there may be several admissible orders. To addressing this problem, the concept ...
Systematic review of aggregation functions applied to image edge detection
(MDPI, 2023)
Artículo / Artikulua,
Edge detection is a crucial process in numerous stages of computer vision. This field of study has recently gained momentum due to its importance in various applications. The uncertainty, among other characteristics of ...