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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
Neurocomputing(2)
Expert Systems with Applications(1)
International Journal of Neural Systems(1)
Journal of Electrical and Computer Engineering(1)
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Ciencias de la computación(5)
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Capacity 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:googlescopusForecasting Amazon Rain-Forest Deforestation Using a Hybrid Machine Learning Model
ArticleAbstract: The present work aims to carry out an analysis of the Amazon rain-forest deforestation, which can bePalabras claves:Deforestation, Dense neural network, Hybrid regression, LSTM, MLPAutores:Del Villar L.d.J., Dominguez D., Mario González-Rodríguez, Odette PantojaFuentes:googlescopusEnsemble of Attractor Networks for 2D Gesture Retrieval
Conference ObjectAbstract: This work presents an Ensemble of Attractor Neural Networks (EANN) model for gesture retrieval. 2D sPalabras claves:Gesture encoding, Hopfield network, Offline recognition, Single-stroke gestures, Storage capacity, Synaptic dilutionAutores:Carlos Dávila, Dominguez D., Jorge Luis Pérez Medina, Mario González-Rodríguez, Rodríguez F.B., Sanchez A.Fuentes:scopusEnsemble 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:googlescopusModeling PM<inf>2.5</inf> Urban Pollution Using Machine Learning and Selected Meteorological Parameters
ArticleAbstract: Outdoor air pollution costs millions of premature deaths annually, mostly due to anthropogenic finePalabras claves:Autores:Jan Kleine Deters, Mario González-Rodríguez, Rasa Zalakeviciute, Rybarczyk Y.P.Fuentes:googlescopusLearning 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:googlescopusRetrieval of noisy fingerprint patterns using metric attractor networks
ArticleAbstract: This work experimentally analyzes the learning and retrieval capabilities of the diluted metric attrPalabras claves:Attractor network, Fingerprint retrieval, Metric connectivity, small-world, Sparse-coding, Threshold dynamicsAutores:Dominguez D., Mario González-Rodríguez, Rodríguez F.B., Sanchez A.Fuentes:googlescopusStructured information in sparse-code metric neural networks
ArticleAbstract: Sparse-code networks have retrieval abilities which are strongly dependent on the firing threshold fPalabras claves:Associative memory, network topology, Small world, Structured information, Threshold dynamicsAutores:Dominguez D., Erichsen R., Mario González-Rodríguez, Rodríguez F.B., Serrano E., Theumann W.K.Fuentes:googlescopus