Sanchez A.
60
Coauthors
16
Documentos
Volumen de publicaciones por año
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Año de publicación | Num. Publicaciones |
---|---|
2007 | 1 |
2011 | 1 |
2014 | 1 |
2016 | 1 |
2017 | 2 |
2019 | 5 |
2020 | 2 |
2021 | 2 |
2022 | 1 |
Publicaciones por áreas de conocimiento
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Área de conocimiento | Num. Publicaciones |
---|---|
Ciencias de la computación | 9 |
Aprendizaje automático | 6 |
Visión por computadora | 4 |
Red neuronal artificial | 3 |
Simulación por computadora | 2 |
Migración humana | 1 |
Análisis de datos | 1 |
Algoritmo | 1 |
Inteligencia artificial | 1 |
Software | 1 |
Publicaciones por áreas temáticas
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Área temática | Num. Publicaciones |
---|---|
Ciencias de la computación | 9 |
Métodos informáticos especiales | 5 |
Procesos sociales | 2 |
Factores que afectan al comportamiento social | 1 |
Migración internacional y colonización | 1 |
Física aplicada | 1 |
Comunicaciones | 1 |
Interacción social | 1 |
Grupos de personas | 1 |
Programación informática, programas, datos, seguridad | 1 |
Principales fuentes de datos
Origen | Num. Publicaciones |
---|---|
Scopus | 16 |
Google Scholar | 12 |
RRAAE | 0 |
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Coautores destacados por número de publicaciones
Coautor | Num. Publicaciones |
---|---|
Dominguez D. | 11 |
Mario González-Rodríguez | 11 |
Rodríguez F.B. | 8 |
A. D. Sappa | 4 |
Carlos Dávila | 2 |
Henry Oswaldo Velesaca Lara | 2 |
Patricia L. Suarez Riofrio | 2 |
Morera Á. | 2 |
Vélez J.F. | 2 |
Soria P. | 1 |
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Top Keywords
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Publicaciones del autor
Learning sequences of sparse correlated patterns using small-world attractor neural networks: An application to traffic videos
ArticleAbstract: The goal of this work is to learn and retrieve a sequence of highly correlated patterns using a HopfPalabras claves:Attractor network, Correlated patterns, small-world, Sparse-coding, Temporal sequence, Traffic analysis, Video retrievalAutores:Dominguez D., Mario González-Rodríguez, Sanchez A.Fuentes:googlescopusCapacity and retrieval of a modular set of diluted attractor networks with respect to the global number of neurons
ArticleAbstract: The modularity and hierarchical structures in associative networks can replicate parallel pattern rePalabras claves:Diluted connectivity, Divide-and-conquer approach, Ensembled learning, Hopfield network, Network size, Storage capacityAutores:Dominguez D., Mario González-Rodríguez, Rodríguez F.B., Sanchez A.Fuentes:googlescopusFine-Tuning of Patterns Assignment to Subnetworks Increases the Capacity of an Attractor Network Ensemble
Conference ObjectAbstract: It is known that dividing an attractor network into a set of subnetworks whose connectivity is equivPalabras claves:Ensemble of diluted modules, Module input optimization, Overlap driven assignment, Retinal images retrieval, Structured patternsAutores:Dominguez D., Mario González-Rodríguez, Rodríguez F.B., Sanchez A.Fuentes:googlescopusEnsemble of diluted attractor networks with optimized topology for fingerprint retrieval
ArticleAbstract: The present study analyzes the retrieval capacity of an Ensemble of diluted Attractor Neural NetworkPalabras claves:Attractor neural networks, Ensemble of diluted modules, Fingerprint retrieval, Information performance metrics, Module input optimization, Module specialization, Structured patternsAutores:Dominguez D., Mario González-Rodríguez, Rodr F.B., Sanchez A.Fuentes:googlescopusIncrease attractor capacity using an ensembled neural network
ArticleAbstract: This work presents an ensemble of Attractor Neural Networks (ANN) modules, that increases the patterPalabras claves:Divide-and-conquer parallelizing, Ensemble of Attractor Neural Networks, Hopfield-type network, Network wiring cost, Storage capacity, Synaptic dilutionAutores:Dominguez D., Mario González-Rodríguez, Rodríguez F.B., Sanchez A.Fuentes:googlescopus